Literature DB >> 34529830

THE CONCISE GUIDE TO PHARMACOLOGY 2021/22: Introduction and Other Protein Targets.

Stephen Ph Alexander1, Eamonn Kelly2, Alistair Mathie3, John A Peters4, Emma L Veale5, Jane F Armstrong6, Elena Faccenda6, Simon D Harding6, Adam J Pawson6, Christopher Southan6, O Peter Buneman7, John A Cidlowski8, Arthur Christopoulos9, Anthony P Davenport10, Doriano Fabbro11, Michael Spedding12, Jörg Striessnig13, Jamie A Davies6, Katelin E Ahlers-Dannen14, Mohammed Alqinyah15, Thiruma V Arumugam16, Christopher Bodle17, Josephine Buo Dagner15, Bandana Chakravarti14, Shreoshi P Choudhuri18, Kirk M Druey19, Rory A Fisher14, Kyle J Gerber20, John R Hepler21, Shelley B Hooks15, Havish S Kantheti22, Behirda Karaj23, Somayeh Layeghi-Ghalehsoukhteh24, Jae-Kyung Lee15, Zili Luo14, Kirill Martemyanov25, Luke D Mascarenhas22, Harrison McNabb26, Carolina Montañez-Miranda21, Osita Ogujiofor22, Hoa Phan23, David L Roman14, Vincent Shaw27, Benita Sjogren26, Christopher Sobey28, Mackenzie M Spicer14, Katherine E Squires21, Laurie Sutton29, Menbere Wendimu15, Thomas Wilkie22, Keqiang Xie25, Qian Zhang26, Yalda Zolghadri22.   

Abstract

The Concise Guide to PHARMACOLOGY 2021/22 is the fifth in this series of biennial publications. The Concise Guide provides concise overviews, mostly in tabular format, of the key properties of nearly 1900 human drug targets with an emphasis on selective pharmacology (where available), plus links to the open access knowledgebase source of drug targets and their ligands (www.guidetopharmacology.org), which provides more detailed views of target and ligand properties. Although the Concise Guide constitutes over 500 pages, the material presented is substantially reduced compared to information and links presented on the website. It provides a permanent, citable, point-in-time record that will survive database updates. The full contents of this section can be found at http://onlinelibrary.wiley.com/doi/bph.15537. In addition to this overview, in which are identified 'Other protein targets' which fall outside of the subsequent categorisation, there are six areas of focus: G protein-coupled receptors, ion channels, nuclear hormone receptors, catalytic receptors, enzymes and transporters. These are presented with nomenclature guidance and summary information on the best available pharmacological tools, alongside key references and suggestions for further reading. The landscape format of the Concise Guide is designed to facilitate comparison of related targets from material contemporary to mid-2021, and supersedes data presented in the 2019/20, 2017/18, 2015/16 and 2013/14 Concise Guides and previous Guides to Receptors and Channels. It is produced in close conjunction with the Nomenclature and Standards Committee of the International Union of Basic and Clinical Pharmacology (NC-IUPHAR), therefore, providing official IUPHAR classification and nomenclature for human drug targets, where appropriate.
© 2021 The Authors. British Journal of Pharmacology published by John Wiley & Sons Ltd on behalf of The British Pharmacological Society.

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Year:  2021        PMID: 34529830      PMCID: PMC9513948          DOI: 10.1111/bph.15537

Source DB:  PubMed          Journal:  Br J Pharmacol        ISSN: 0007-1188            Impact factor:   9.473


Conflict of interest

The authors state that there are no conflicts of interest to disclose.

Table of contents

S1 Introduction and Other Protein Targets S8 Adiponectin receptors S9 Aryl hydrocarbon receptor S10 Non‐enzymatic BRD containing proteins S11 CD molecules S13 Methyllysine reader proteins S14 Fatty acid‐binding proteins S16 Notch receptors S17 Regulators of G protein Signaling (RGS) proteins S17 RZ family S18 R4 family S19 R7 family S19 R12 family S20 Sigma receptors S21 Transthyretin S22 Tubulins S23 SARS‐CoV‐2 S23 Structural proteins S24 Polyproteins S24 Proteases S25 Nucleic acid turnover S25 Other proteins S27 G protein‐coupled receptors S31 Orphan and other 7TM receptors S32 Class A Orphans S41 Class C Orphans S41 Opsin receptors S42 Taste 1 receptors S43 Taste 2 receptors S44 Other 7TM proteins S45 5‐Hydroxytryptamine receptors S48 Acetylcholine receptors (muscarinic) S50 Adenosine receptors S52 Adhesion Class GPCRs S55 Adrenoceptors S59 Angiotensin receptors S60 Apelin receptor S61 Bile acid receptor S62 Bombesin receptors S63 Bradykinin receptors S64 Calcitonin receptors S66 Calcium‐sensing receptor S67 Cannabinoid receptors S68 Chemerin receptors S69 Chemokine receptors S73 Cholecystokinin receptors S74 Class Frizzled GPCRs S76 Complement peptide receptors S78 Corticotropin‐releasing factor receptors S79 Dopamine receptors S81 Endothelin receptors S82 G protein‐coupled estrogen receptor S83 Formylpeptide receptors S84 Free fatty acid receptors S86 GABAB receptors S87 Galanin receptors S89 Ghrelin receptor S90 Glucagon receptor family S91 Glycoprotein hormone receptors S92 Gonadotrophin‐releasing hormone receptors S93 GPR18, GPR55 and GPR119 S94 Histamine receptors S96 Hydroxycarboxylic acid receptors S97 Kisspeptin receptor S98 Leukotriene receptors S100 Lysophospholipid (LPA) receptors S101 Lysophospholipid (S1P) receptors S103 Melanin‐concentrating hormone receptors S104 Melanocortin receptors S105 Melatonin receptors S106 Metabotropic glutamate receptors S108 Motilin receptor S110 Neuromedin U receptors S111 Neuropeptide FF/neuropeptide AF receptors S112 Neuropeptide S receptor S113 Neuropeptide W/neuropeptide B receptors S114 Neuropeptide Y receptors S116 Neurotensin receptors S117 Opioid receptors S119 Orexin receptors S120 Oxoglutarate receptor S120 P2Y receptors S123 Parathyroid hormone receptors S124 Platelet‐activating factor receptor S125 Prokineticin receptors S126 Prolactin‐releasing peptide receptor S127 Prostanoid receptors S129 Proteinase‐activated receptors S131 QRFP receptor S132 Relaxin family peptide receptors S134 Somatostatin receptors S135 Succinate receptor S136 Tachykinin receptors S137 Thyrotropin‐releasing hormone receptors S138 Trace amine receptor S139 Urotensin receptor S140 Vasopressin and oxytocin receptors S142 VIP and PACAP receptors S157 Ion channels S159 Ligand‐gated ion channels S160 5‐HT3 receptors S162 Acid‐sensing (proton‐gated) ion channels (ASICs) S165 Epithelial sodium channel (ENaC) S166 GABA receptors S172 Glycine receptors S175 Ionotropic glutamate receptors S180 IP3 receptors S181 Nicotinic acetylcholine receptors S185 P2X receptors S187 ZAC S188 Voltage‐gated ion channels S188 CatSper and Two‐Pore channels S190 Cyclic nucleotide‐regulated channels S192 Potassium channels S193 Calcium‐ and sodium‐activated potassium channels S195 Inwardly rectifying potassium channels S199 Two‐pore domain potassium channels S201 Voltage‐gated potassium channels S204 Ryanodine receptors S205 Transient Receptor Potential channels S219 Voltage‐gated calcium channels S222 Voltage‐gated proton channel S223 Voltage‐gated sodium channels S225 Aquaporins S227 Chloride channels S228 ClC family S230 CFTR S231 Calcium activated chloride channel S232 Maxi chloride channel S233 Volume regulated chloride channels S234 Connexins and Pannexins S236 Piezo channels S237 Sodium leak channel, non‐selective S238 Orai channels S245 Nuclear hormone receptors S247 1A. Thyroid hormone receptors S248 1B. Retinoic acid receptors S249 1C. Peroxisome proliferator‐activated receptors S250 1D. Rev‐Erb receptors S251 1F. Retinoic acid‐related orphans S252 1H. Liver X receptor‐like receptors S253 1I. Vitamin D receptor‐like receptors S254 2A. Hepatocyte nuclear factor‐4 receptors S255 2B. Retinoid X receptors S255 2C. Testicular receptors S256 2E. Tailless‐like receptors S256 2F. COUP‐TF‐like receptors S257 3B. Estrogen‐related receptors S257 4A. Nerve growth factor IB‐like receptors S258 5A. Fushi tarazu F1‐like receptors S259 6A. Germ cell nuclear factor receptors S259 0B. DAX‐like receptors S260 Steroid hormone receptors S260 3A. Estrogen receptors S261 3C. 3‐Ketosteroid receptors S264 Catalytic receptors S266 Cytokine receptor family S266 IL‐2 receptor family S268 IL‐3 receptor family S268 IL‐6 receptor family S270 IL‐12 receptor family S271 Prolactin receptor family S272 Interferon receptor family S273 IL‐10 receptor family S274 Immunoglobulin‐like family of IL‐1 receptors S275 IL‐17 receptor family S276 GDNF receptor family S277 Integrins S281 Pattern recognition receptors S281 Toll‐like receptor family S283 NOD‐like receptor family S285 RIG‐I‐like receptor family S285 Receptor guanylyl cyclase (RGC) family S286 Transmembrane guanylyl cyclases S287 Nitric oxide (NO)‐sensitive (soluble) guanylyl cyclase S288 Receptor tyrosine kinases (RTKs) S289 Type I RTKs: ErbB (epidermal growth factor) receptor family S290 Type II RTKs: Insulin receptor family S291 Type III RTKs: PDGFR, CSFR, Kit, FLT3 receptor family S292 Type IV RTKs: VEGF (vascular endothelial growth factor) receptor family S293 Type V RTKs: FGF (fibroblast growth factor) receptor family S294 Type VI RTKs: PTK7/CCK4 S294 Type VII RTKs: Neurotrophin receptor/Trk family S295 Type VIII RTKs: ROR family S296 Type IX RTKs: MuSK S296 Type X RTKs: HGF (hepatocyte growth factor) receptor family S297 Type XI RTKs: TAM (TYRO3‐, AXL‐ and MER‐TK) receptor family S297 Type XII RTKs: TIE family of angiopoietin receptors S298 Type XIII RTKs: Ephrin receptor family S299 Type XIV RTKs: RET S299 Type XV RTKs: RYK S300 Type XVI RTKs: DDR (collagen receptor) family S300 Type XVII RTKs: ROS receptors S301 Type XVIII RTKs: LMR family S301 Type XIX RTKs: Leukocyte tyrosine kinase (LTK) receptor family S302 Type XX RTKs: STYK1 S302 Receptor serine/threonine kinase (RSTK) family S303 Type I receptor serine/threonine kinases S304 Type II receptor serine/threonine kinases S304 Type III receptor serine/threonine kinases S305 RSTK functional heteromers S306 Receptor tyrosine phosphatase (RTP) family S308 Tumour necrosis factor (TNF) receptor family S313 Enzymes S318 Acetylcholine turnover S318 Adenosine turnover S321 Amino acid hydroxylases S322 L‐Arginine turnover S336 2.1.1.‐ Protein arginine N‐methyltransferases S322 Arginase S323 Arginine:glycine amidinotransferase S323 Dimethylarginine dimethylaminohydrolases S324 Nitric oxide synthases S325 Carbonic anhydrases S325 Carboxylases and decarboxylases S326 Carboxylases S327 Decarboxylases S328 Catecholamine turnover S330 Ceramide turnover S331 Serine palmitoyltransferase S331 Ceramide synthase S332 Sphingolipid Δ4‐desaturase S332 Sphingomyelin synthase S333 Sphingomyelin phosphodiesterase S333 Neutral sphingomyelinase coupling factors S334 Ceramide glucosyltransferase S334 Acid ceramidase S334 Neutral ceramidases S335 Alkaline ceramidases S335 Ceramide kinase S336 Chromatin modifying enzymes S336 2.1.1.‐ Protein arginine N‐methyltransferases S337 3.5.1.‐ Histone deacetylases (HDACs) S338 Cyclic nucleotide turnover/signalling S338 Adenylyl cyclases (ACs) S340 Exchange protein activated by cyclic AMP (EPACs) S341 Phosphodiesterases, 3’,5’‐cyclic nucleotide (PDEs) S344 Cytochrome P450 S344 CYP1 family S345 CYP2 family: drug metabolising subset S346 CYP2 family: physiological enzymes subset S346 CYP3 family S347 CYP4 family S348 CYP5, CYP7 and CYP8 families S349 CYP11, CYP17, CYP19, CYP20 and CYP21 families S350 CYP24, CYP26 and CYP27 families S350 CYP39, CYP46 and CYP51 families S351 DNA topoisomerases S351 E3 ubiquitin ligase components S352 Endocannabinoid turnover S353 N‐Acylethanolamine turnover S354 2‐Acylglycerol ester turnover S355 Eicosanoid turnover S355 Cyclooxygenase S356 Prostaglandin synthases S358 Lipoxygenases S359 Leukotriene and lipoxin metabolism S359 GABA turnover S361 Glycerophospholipid turnover S361 Phosphoinositide‐specific phospholipase C S363 Phospholipase A2 S364 Phosphatidylcholine‐specific phospholipase D S365 Lipid phosphate phosphatases S366 Phosphatidylinositol kinases S368 Phosphatidylinositol phosphate kinases S369 Haem oxygenase S370 Hydrogen sulphide synthesis S371 Hydrolases S373 Inositol phosphate turnover S373 Inositol 1,4,5‐trisphosphate 3‐kinases S373 Inositol polyphosphate phosphatases S374 Inositol monophosphatase S374 Kinases (EC 2.7.x.x) S375 Rho kinase S375 Protein kinase C (PKC) family S376 Alpha subfamily S376 Delta subfamily S377 Eta subfamily S377 Iota subfamily S378 FRAP subfamily S378 Cyclin‐dependent kinase (CDK) family S379 CDK4 subfamily S379 GSK subfamily S380 Polo‐like kinase (PLK) family S381 STE7 family S382 Abl family S382 Ack family S383 Janus kinase (JakA) family S383 Src family S384 Tec family S385 RAF family S385 Lanosterol biosynthesis pathway S388 Nucleoside synthesis and metabolism S389 Paraoxonase (PON) family S390 Peptidases and proteinases S390 Blood coagulation components S391 A1: Pepsin S391 A22: Presenilin S392 C14: Caspase S392 M1: Aminopeptidase N S393 M2: Angiotensin‐converting enzymes (ACE and ACE2) S393 M10: Matrix metallopeptidase S394 M12: Astacin/Adamalysin S394 M28: Aminopeptidase Y S395 M19: Membrane dipeptidase S395 S1: Chymotrypsin S396 T1: Proteasome S397 S8: Subtilisin S397 S9: Prolyl oligopeptidase S397 Peptidyl‐prolyl cis/trans isomerases S399 Poly ADP‐ribose polymerases S399 Prolyl hydroxylases S400 Sphingosine 1‐phosphate turnover S400 Sphingosine kinase S402 Sphingosine 1‐phosphate phosphatase S402 Sphingosine 1‐phosphate lyase S403 Thyroid hormone turnover S404 1.14.13.9 Kynurenine 3‐monooxygenase S405 2.5.1.58 Protein farnesyltransferase S405 3.5.3.15 Peptidyl arginine deiminases (PADI) S406 3.6.5.2 Small monomeric GTPases S406 RAS subfamily S406 RAB subfamily S412 Transporters S414 ATP‐binding cassette transporter family S415 ABCA subfamily S416 ABCB subfamily S417 ABCC subfamily S418 ABCD subfamily of peroxisomal ABC transporters S419 ABCG subfamily S419 F‐type and V‐type ATPases S420 F‐type ATPase S420 V‐type ATPase S420 P‐type ATPases S421 P1B P‐type ATPases: Cu+‐ATPases S421 P2A P‐type ATPases: Ca2+‐ATPases S422 P2B P‐type ATPases: Ca2+‐ATPases S422 Na+/K+‐ATPases S422 H+/K+‐ATPases S423 P4 P‐type ATPases: Phospholipid‐transporting ATPases S423 P5 P‐type ATPases: Mn2+‐ATPases S424 SLC superfamily of solute carriers S425 SLC1 family of amino acid transporters S425 Glutamate transporter subfamily S427 Alanine/serine/cysteine transporter subfamily S427 SLC2 family of hexose and sugar alcohol transporters S428 Class I transporters S428 Class II transporters S429 Proton‐coupled inositol transporter S430 SLC3 and SLC7 families of heteromeric amino acid transporters (HATs) S430 SLC3 family S430 SLC7 family S432 SLC4 family of bicarbonate transporters S432 Anion exchangers S433 Sodium‐dependent HCO3 − transporters S433 SLC5 family of sodium‐dependent glucose transporters S434 Hexose transporter family S435 Choline transporter S436 Sodium iodide symporter, sodium‐dependent multivitamin transporter and sodium‐coupled monocarboxylate transporters S437 Sodium myo‐inositol cotransporter transporters S438 SLC6 neurotransmitter transporter family S439 Monoamine transporter subfamily S439 GABA transporter subfamily S440 Glycine transporter subfamily S442 Neutral amino acid transporter subfamily S443 SLC8 family of sodium/calcium exchangers S444 SLC9 family of sodium/hydrogen exchangers S444 SLC10 family of sodium‐bile acid co‐transporters S445 SLC11 family of proton‐coupled metal ion transporters S446 SLC12 family of cation‐coupled chloride transporters S448 SLC13 family of sodium‐dependent sulphate/carboxylate transporters S449 SLC14 family of facilitative urea transporters S450 SLC15 family of peptide transporters S453 SLC16 family of monocarboxylate transporters S454 SLC17 phosphate and organic anion transporter family S454 Type I sodium‐phosphate co‐transporters S455 Sialic acid transporter S455 Vesicular glutamate transporters (VGLUTs) S456 Vesicular nucleotide transporter S456 SLC18 family of vesicular amine transporters S457 SLC19 family of vitamin transporters S458 SLC20 family of sodium‐dependent phosphate transporters S459 SLC22 family of organic cation and anion transporters S460 Organic cation transporters (OCT) S461 Organic zwitterions/cation transporters (OCTN) S461 Organic anion transporters (OATs) S462 Urate transporter S463 Atypical SLC22B subfamily S464 SLC23 family of ascorbic acid transporters S465 SLC24 family of sodium/potassium/calcium exchangers S466 SLC25 family of mitochondrial transporters S466 Mitochondrial di‐ and tri‐carboxylic acid transporter subfamily S467 Mitochondrial amino acid transporter subfamily S468 Mitochondrial phosphate transporters S468 Mitochondrial nucleotide transporter subfamily S469 Mitochondrial uncoupling proteins S469 Miscellaneous SLC25 mitochondrial transporters S470 SLC26 family of anion exchangers S470 Selective sulphate transporters S471 Chloride/bicarbonate exchangers S471 Anion channels S472 Other SLC26 anion exchangers S472 SLC27 family of fatty acid transporters S473 SLC28 and SLC29 families of nucleoside transporters S474 SLC28 family S475 SLC29 family S476 SLC30 zinc transporter family S477 SLC31 family of copper transporters S478 SLC32 vesicular inhibitory amino acid transporter S479 SLC33 acetylCoA transporter S480 SLC34 family of sodium phosphate co‐transporters S481 SLC35 family of nucleotide sugar transporters S482 SLC36 family of proton‐coupled amino acid transporters S483 SLC37 family of phosphosugar/phosphate exchangers S484 SLC38 family of sodium‐dependent neutral amino acid transporters S484 System A‐like transporters S485 System N‐like transporters S485 Orphan SLC38 transporters S486 SLC39 family of metal ion transporters S487 SLC40 iron transporter S488 SLC41 family of divalent cation transporters S489 SLC42 family of Rhesus glycoprotein ammonium transporters S490 SLC43 family of large neutral amino acid transporters S491 SLC44 choline transporter‐like family S492 SLC45 family of putative sugar transporters S493 SLC46 family of folate transporters S494 SLC47 family of multidrug and toxin extrusion transporters S495 SLC48 heme transporter S495 SLC49 family of FLVCR‐related heme transporters S496 SLC50 sugar transporter S497 SLC51 family of steroid‐derived molecule transporters S498 SLC52 family of riboflavin transporters S499 SLC53 Phosphate carriers S499 SLC54 Mitochondrial pyruvate carriers S500 SLC55 Mitochondrial cation/proton exchangers S500 SLC56 Sideroflexins S501 SLC57 NiPA‐like magnesium transporter family S501 SLC58 MagT‐like magnesium transporter family S502 SLC59 Sodium‐dependent lysophosphatidylcholine symporter family S502 SLC60 Glucose transporters S503 SLC61 Molybdate transporter family S503 SLC62 Pyrophosphate transporters S504 SLC63 Sphingosine phosphate transporters S504 SLC64 Golgi Ca2+/H+ exchangers S505 SLC65 NPC‐type cholesterol transporters S505 SLC66 Lysosomal amino acid transporters S506 SLCO family of organic anion transporting polypeptides

Introduction

In order to allow clarity and consistency in pharmacology, there is a need for a comprehensive organisation and presentation of the targets of drugs. This is the philosophy of the IUPHAR/BPS Guide to PHARMACOLOGY presented on the online free access database (http://www.guidetopharmacology.org/). This database is supported by the British Pharmacological Society (BPS), the International Union of Basic and Clinical Pharmacology (IUPHAR), the University of Edinburgh and previously the Wellcome Trust. Data included in the Guide to PHARMACOLOGY are derived in large part from interactions with the subcommittees of the Nomenclature amd Standards Committee of the International Union of Basic and Clinical Pharmacology (NC‐IUPHAR). A major influence on the development of the database was Tony Harmar (1951‐2014), who worked with a passion to establish the curators as a team of highly informed and informative individuals, with a focus on high‐quality data input, ensuring a suitably validated dataset. The Editors of the Concise Guide have compiled the individual records, in concert with the team of Curators, drawing on the expert knowledge of these latter subcommittees. The tables allow an indication of the status of the nomenclature for the group of targets listed, usually previously published in Pharmacological Reviews. In the absence of an established subcommittee, advice from several prominent, independent experts has generally been obtained to produce an authoritative consensus on nomenclature, which attempts to fit in within the general guidelines from NC‐IUPHAR. This current edition, the Concise Guide to PHARMACOLOGY 2021/22, is the latest snapshot of the database in print form, following on from the Concise Guide to PHARMACOLOGY 2019/20. It contains data drawn from the online database as a rapid overview of the major pharmacological targets. Thus, there are many fewer targets presented in the Concise Guide compared to the online database. The priority for inclusion in the Concise Guide is the presence of quantitative pharmacological data for human proteins. This means that often orphan family members are not presented in the Concise Guide, although structural information is available on the online database. The organisation of the data is tabular(where appropriate) with a standardised format, where possible on a single page, intended to aid understanding of, and comparison within, a particular target group. The Concise Guide is intended as an initial resource, with links to additional reviews and resources for greater depth and information. Pharmacological and structural data focus primarily on human gene products, wherever possible, with links to HGNC gene nomenclature and UniProt IDs. In a few cases, where data from human proteins are limited, data from other species are indicated. Pharmacological tools listed are prioritised on the basis of selectivity and availability. That is, agents(agonists, antagonists, inhibitors, activators, etc.) are included where they are both available (by donation or from commercial sources, now or in the near future) AND the most selective. The Concise Guide is divided into seven sections, which comprise pharmacological targets of similar structure/function. These are G protein‐coupled receptors, ion channels (combining previous records of ligand‐gated, voltage‐gated and other ion channels), catalytic receptors, nuclear hormone receptors, enzymes, transporters and other protein targets. We hope that the Concise Guide will provide for researchers, teachers and students a state‐of‐the art source of accurate, curated information on the background to their work that they will use in the Introductions to their Research Papers or Reviews, or in supporting their teaching and studies. We recommend that any citations to information in the Concise Guide are presented in the following format: Alexander SPH et al. (2021). The Concise Guide to PHARMACOLOGY 2021/22: Overview. Br J Pharmacol 178: S1–S26. In this overview are listed protein targets of pharmacological interest, which are not G protein‐coupled receptors, ion channels, nuclear hormone receptors, catalytic receptors, transporters or enzymes. For obvious reasons, we have included potential drug targets of the SARS‐CoV‐2 virus, despite the current limited pharmacological data.

Acknowledgements

We are extremely grateful to the British Pharmacological Society and the International Union of Basic and Clinical Pharmacology, for financial support of the website and for advice from the NC‐IUPHAR subcommittees. We thank the University of Edinburgh, who host the www.guidetopharmacology.org website. Previously, IUPHAR and the Wellcome Trust (099156/Z/12/Z]) also supported the initiation and expansion of the database. We are also tremendously grateful to the long list of collaborators from NC‐IUPHAR subcommittees and beyond, who have assisted in the construction of the Concise Guide to PHARMACOLOGY 2021/22 and the online database www.GuideToPHARMACOLOGY.org. The authors state that there are no conflicts of interest to disclose.

Family structure

– Abscisic acid receptor complex S8 Adiponectin receptors – Anti‐infective targets – Antimalarial targets – Other anti‐infective targets S9 Aryl hydrocarbon receptor – B‐cell lymphoma 2(Bcl‐2) protein family – Bromodomain‐containing proteins S10 Non‐enzymatic BRD containing proteins – Butyrophilin and butyrophilin‐like proteins S11 CD molecules – Chaperone proteins – Lipid binding chaperones – Chitinase‐like proteins – Chromatin‐interacting transcriptional repressors S13 Methyllysine reader proteins – Circadian clock proteins – Claudins – Cytolytic pore‐forming proteins – EF‐hand domain containing proteins S14 Fatty acid‐binding proteins – Guanine nucleotide exchange factors (GEFs) – Heat shock proteins – Hypoxia‐inducible factors – Immune checkpoint proteins – Immunoglobulin C1‐set domain‐containing proteins – Immunoglobulin C2‐set domain‐containing proteins – Immunoglobulin like domain containing proteins – Immunoglobulins – Inhibitors of apoptosis (IAP) protein family – Kelch‐like proteins – Kinesins – Leucine‐rich repeat proteins – Lymphocyte antigens – Mitochondrial‐associated proteins – Myosin binding proteins – Neuropilins and Plexins – Non‐catalytic pattern recognition receptors S16 Notch receptors – Nuclear export proteins – Pentraxins S17 Regulators of G protein Signaling (RGS) proteins S17 RZ family S18 R4 family S19 R7 family S19 R12 family – Repulsive guidance molecules – Reticulons and associated proteins – Ribosomal factors – Sialic acid binding Ig like lectins S20 Sigma receptors – Signal regulatory proteins – Tetraspanins – Transcription factors – Transcription factor regulators –NF‐κB regulators S21 Transthyretin S22 Tubulins – Tumour‐associated antigens – WD repeat‐containing proteins – Plasmodium multidrug resistance family S23 SARS‐CoV‐2 S23 Structural proteins S24 Polyproteins S24 Proteases S25 Nucleic acid turnover S25 Other proteins

Adiponectin receptors

Overview

Adiponectin receptors (provisional nomenclature, ENSFM00500000270960) respond to the 30 kDa complement‐related protein hormone adiponectin (also known as : adipocyte, C1q and collagen domain‐containing protein; ACRP30, adipose most abundant gene transcript 1; apM‐1; gelatin‐binding protein: Q15848) originally cloned from adipocytes [69]. Although sequence data suggest 7TM domains, immunological evidence indicates that, contrary to typical 7TM topology, the carboxyl terminus is extracellular, while the amino terminus is intracellular [136]. Signalling through these receptors appears to avoid G proteins; modelling based on the crystal structures of the adiponectin receptors suggested ceramidase acivity, which would make these the first in a new family of catalytic receptors [121].

Further reading on Adiponectin receptors

Fisman EZ et al. (2014) Adiponectin: a manifold therapeutic target for metabolic syndrome, diabetes, and coronary disease? Cardiovasc Diabetol 13: 103 [PMID:24957699] Okada‐Iwabu M et al. (2018) Structure and function analysis of adiponectin receptors toward development of novel antidiabetic agents promoting healthy longevity. Endocr J 65: 971‐977 [PMID:30282888] Ruan H et al. (2016) Adiponectin signaling and function in insulin target tissues. J Mol Cell Biol 8: 101‐9 [PMID:26993044] Wang Y et al. (2017) Cardiovascular Adiponectin Resistance: The Critical Role of Adiponectin Receptor Modification. Trends Endocrinol Metab 28: 519‐530 [PMID:28473178] Zhao L et al. (2014) Adiponectin and insulin cross talk: the microvascular connection. Trends Cardiovasc Med 24: 319‐24 [PMID:25220977]

Comments

T‐Cadherin ( , P55290) has also been suggested to be a receptor for (hexameric) adiponectin [47].

Aryl hydrocarbon receptor

The aryl hydrocarbon receptor, highly expressed in the liver and barrier organs, is resident in the cytoplasm bound to the chaperone heat shock protein hsp90. Upon agonist activation, the ligand:aryl hydrocarbon receptor complex migrates to the nucleus and binds the aryl hydrocarbon receptor nuclear translocator (ARNT, P27540, also known as HIF1β). The complex regulates transcription of selected genes through interaction with xenobiotic response elements (XRE). Among the genes regulated by the AHR/ARNT complex are cytochrome P450s, particularly CYP1A1, and the period circadian protein homolog 1 (PER1, O15534). The aryl hydrocarbon receptor is also capable of non‐genomic signalling.

Further reading on Aryl hydrocarbon receptor

Bock KW. (2019) Aryl hydrocarbon receptor (AHR): From selected human target genes and crosstalk with transcription factors to multiple AHR functions. Biochem Pharmacol 168: 65‐70 [PMID:31228464] Bock KW. (2020) Aryl hydrocarbon receptor (AHR) functions: Balancing opposing processes including inflammatory reactions. Biochem Pharmacol 178: 114093 [PMID:32535108] Esser C et al. (2015) The aryl hydrocarbon receptor in barrier organ physiology, immunology, and toxicology. Pharmacol Rev 67: 259‐79 [PMID:25657351] Roman ÁC et al. (2018) The aryl hydrocarbon receptor in the crossroad of signalling networks with therapeutic value. Pharmacol Ther 185: 50‐63 [PMID:29258844] Rothhammer V et al. (2019) The aryl hydrocarbon receptor: an environmental sensor integrating immune responses in health and disease. Nat Rev Immunol 19: 184‐197 [PMID:30718831] Shi Y et al. (2020) The aryl hydrocarbon receptor: An environmental effector in the pathogenesis of fibrosis. Pharmacol Res 160: 105180 [PMID:32877693]

Non‐enzymatic BRD containing proteins

Bromodomains bind proteins with acetylated lysine residues, such as histones, to regulate gene transcription. Listed herein are examples of bromodomain‐containing proteins for which sufficient pharmacology exists.

Further reading on Non‐enzymatic BRD containing proteins

Fujisawa T et al. (2017) Functions of bromodomain‐containing proteins and their roles in homeostasis and cancer. Nat Rev Mol Cell Biol 18: 246‐262 [PMID:28053347] Myrianthopoulos V et al. (2019) From bench to bedside, via desktop. Recent advances in the application of cutting‐edge in silico tools in the research of drugs targeting bromodomain modules. Biochem Pharmacol 159: 40‐51 [PMID:30414936] Nicholas DA et al. (2017) BET bromodomain proteins and epigenetic regulation of inflammation: implications for type 2 diabetes and breast cancer. Cell Mol Life Sci 74: 231‐243 [PMID:27491296] Ramadoss M et al. (2018) Targeting the cancer epigenome: synergistic therapy with bromodomain inhibitors. Drug Discov Today 23: 76‐89 [PMID:28943305] Spriano F et al. (2020) Targeting BET bromodomain proteins in cancer: The example of lymphomas. Pharmacol Ther 215: 107631 [PMID:32693114] Tang P et al. (2021) Targeting Bromodomain and Extraterminal Proteins for Drug Discovery: From Current Progress to Technological Development. J Med Chem 64: 2419‐2435 [PMID:33616410]

CD molecules

Cluster of differentiation refers to an attempt to catalogue systematically a series of over 300 cell‐surface proteins associated with immunotyping. Many members of the group have identified functions as enzymes (for example, see CD73 ecto‐5’‐nucleotidase) or receptors (for example, see CD41 integrin, alpha 2b subunit). Many CDs are targeted for therapeutic gain using antibodies for the treatment of proliferative disorders. A full listing of all the Clusters of Differentiation proteins is not possible in the Guide to PHARMACOLOGY; listed herein are selected members of the family targeted for therapeutic gain.

Further reading on CD molecules

Bewersdorf JP et al. (2021) Immune checkpoint inhibition in myeloid malignancies: Moving beyond the PD‐1/PD‐L1 and CTLA‐4 pathways. Blood Rev 45: 100709 [PMID:32487480] Chi Z et al. (2021) Transcriptional and epigenetic regulation of PD‐1 expression. Cell Mol Life Sci 78: 3239‐3246 [PMID:33738533] Gabius HJ et al. (2015) The glycobiology of the CD system: a dictionary for translating marker designations into glycan/lectin structure and function. Trends Biochem Sci 40: 360‐76 [PMID:25981696] Huang MY et al. (2021) Combination therapy with PD‐1/PD‐L1 blockade in non‐small cell lung cancer: strategies and mechanisms. Pharmacol Ther 219: 107694 [PMID:32980443] Vosoughi T et al. (2019) CD markers variations in chronic lymphocytic leukemia: New insights into prognosis. J Cell Physiol 234: 19420‐19439 [PMID:31049958] The endogenous ligands for human PD‐1 are programmed cell death 1 ligand 1 (PD‐L1 aka CD274 (CD274, Q9NZQ7)) and programmed cell death 1 ligand 2 (PD‐L2; PDCD1LG2). These ligands are cell surface peptides, normally involved in immune system regulation. Expression of PD‐1 by cancer cells induces immune tolerance and evasion of immune system attack. Anti‐PD‐1 monoclonal antibodies are used to induce immune checkpoint blockade as a therapeutic intervention in cancer, effectively re‐establishing immune vigilance. Pembrolizumab was the first anti‐PD‐1 antibody to be approved by the US FDA.

Methyllysine reader proteins

Methyllysine reader proteins bind to methylated proteins, such as histones, allowing regulation of gene expression.

Further reading on Methyllysine reader proteins

Daskalaki MG et al. (2018) Histone methylation and acetylation in macrophages as a mechanism for regulation of inflammatory responses. J Cell Physiol 233: 6495‐6507 [PMID:29574768] Furuya K et al. (2019) Epigenetic interplays between DNA demethylation and histone methylation for protecting oncogenesis. J Biochem 165: 297‐299 [PMID:30605533] Levy D. (2019) Lysine methylation signaling of non‐histone proteins in the nucleus. Cell Mol Life Sci 76: 2873‐2883 [PMID:31123776] Li J et al. (2019) Understanding histone H3 lysine 36 methylation and its deregulation in disease. Cell Mol Life Sci 76: 2899‐2916 [PMID:31147750] Shafabakhsh R et al. (2019) Role of histone modification and DNA methylation in signaling pathways involved in diabetic retinopathy. J Cell Physiol 234: 7839‐7846 [PMID:30515789]

Fatty acid‐binding proteins

Fatty acid‐binding proteins are low molecular weight (100‐130 aa) chaperones for long chain fatty acids, fatty acyl CoA esters, eicosanoids, retinols, retinoic acids and related metabolites and are usually regarded as being responsible for allowing the otherwise hydrophobic ligands to be mobile in aqueous media. These binding proteins may perform functions extracellularly (e.g. in plasma) or transport these agents; to the nucleus to interact with nuclear receptors (principally PPARs and retinoic acid receptors [99]) or for interaction with metabolic enzymes. Although sequence homology is limited, crystallographic studies suggest conserved 3D structures across the group of binding proteins.

Further reading on Fatty acid‐binding proteins

Gajda AM et al. (2015) Enterocyte fatty acid‐binding proteins (FABPs): different functions of liver and intestinal FABPs in the intestine. Prostaglandins Leukot Essent Fatty Acids 93: 9‐16 [PMID:25458898] Glatz JF. (2015) Lipids and lipid binding proteins: a perfect match. Prostaglandins Leukot Essent Fatty Acids 93: 45‐9 [PMID:25154384] Hotamisligil GS et al. (2015) Metabolic functions of FABPs–mechanisms and therapeutic implications. Nat Rev Endocrinol 11: 592‐605 [PMID:26260145] Matsumata M et al. (2016) Fatty acid binding proteins and the nervous system: Their impact on mental conditions. Neurosci Res 102: 47‐55 [PMID:25205626] Nguyen HC et al. (2020) Role of the Fatty Acid Binding Proteins in Cardiovascular Diseases: A Systematic Review. J Clin Med 9: [PMID:33105856] Osumi T et al. (2016) Heart lipid droplets and lipid droplet‐binding proteins: Biochemistry, physiology, and pathology. Exp Cell Res 340: 198‐204 [PMID:26524506] Although not tested at all FABPs, BMS309403 exhibits high affinity for FABP4 (pIC50 ˜8.8) compared to FABP3 or FABP5 (pIC50<6.6) [27, 118]. HTS01037 is reported to interfere with FABP4 action [42]. Ibuprofen displays some selectivity for FABP4 (pIC50 5.5) relative to FABP3 (pIC50 3.5) and FABP5 (pIC50 3.8) [68]. Fenofibric acid displays some selectivity for FABP5 (pIC50 5.5) relative to FABP3 (pIC50 4.5) and FABP4 (pIC50 4.6) [68]. Multiple pseudogenes for the FABPs have been identified in the human genome.

Notch receptors

Aberrant Notch signalling is implicated in a number of human cancers [59, 80, 108, 126], and there is intense pharmaceutical activity being directed towards achieving clinically effective Notch pathway inhibition [24, 75].

Further reading on Notch receptors

Fabbro D et al. (2020) Notch Inhibition in Cancer: Challenges and Opportunities. Chimia (Aarau) 74: 779‐783 [PMID:33115560] Moore G et al. (2020) Top Notch Targeting Strategies in Cancer: A Detailed Overview of Recent Insights and Current Perspectives. Cells 9: [PMID:32575680] Palmer WH et al. (2015) Ligand‐Independent Mechanisms of Notch Activity. Trends Cell Biol 25: 697‐707 [PMID:26437585] Previs RA et al. (2015) Molecular pathways: translational and therapeutic implications of the Notch signaling pathway in cancer. Clin Cancer Res 21: 955‐61 [PMID:25388163] Takebe N et al. (2015) Targeting Notch, Hedgehog, and Wnt pathways in cancer stem cells: clinical update. Nat Rev Clin Oncol 12: 445‐64 [PMID:25850553]

Regulators of G protein Signaling (RGS) proteins

Regulator of G protein Signaling, or RGS, proteins serve an important regulatory role in signaling mediated by G protein‐coupled receptors (GPCRs). They all share a common RGS domain that directly interacts with active, GTP‐bound Gα subunits of heterotrimeric G proteins. RGS proteins stabilize the transition state for GTP hydrolysis on Gα and thus induce a conformational change in the Gα subunit that accelerates GTP hydrolysis, thereby effectively turning off signaling cascades mediated by GPCRs. This GTPase accelerating protein (GAP) activity is the canonical mechanism of action for RGS proteins, although many also possess additional functions and domains. RGS proteins are divided into four families, R4, R7, R12 and RZ based on sequence homology, domain structure as well as specificity towards Gα subunits. For reviews on RGS proteins and their potential as therapeutic targets, see e.g. [5, 45, 79, 93, 105, 106, 107, 138, 140].

Further reading on Regulators of G protein Signaling (RGS) proteins

Alqinyah M et al. (2018) Regulating the regulators: Epigenetic, transcriptional, and post‐translational regulation of RGS proteins. Cell Signal 42: 77‐87 [PMID:29042285] Fuentes N et al. (2021) RGS proteins, GRKs, and beta‐arrestins modulate G protein‐mediated signaling pathways in asthma. Pharmacol Ther 223: 107818 [PMID:33600853] Neubig RR et al. (2002) Regulators of G‐protein signalling as new central nervous system drug targets. Nat Rev Drug Discov 1: 187‐97 [PMID:12120503] Sethakorn N et al. (2010) Non‐canonical functions of RGS proteins. Cell Signal 22: 1274‐81 [PMID:20363320] Sjögren B. (2017) The evolution of regulators of G protein signalling proteins as drug targets ‐ 20 years in the making: IUPHAR Review 21. Br J Pharmacol 174: 427‐437 [PMID:28098342] Sjögren B et al. (2010) Thinking outside of the "RGS box": new approaches to therapeutic targeting of regulators of G protein signaling. Mol Pharmacol 78: 550‐7 [PMID:20664002]

RZ family

The RZ family of RGS proteins is less well characterized than the other families. It consists of, RGS17(also known as RGSZ2), RGS19 (also known as GAIP) and RGS20 (with several splice variants including RGSZ1 and Ret‐RGS). All members contain an N‐terminal cysteine string motif [62] which is a site of palmitoylation and could serve functions in membrane targeting, protein stability or aid protein‐protein interactions [2, 62]. However, the function in the case of RZ family RGS proteins is not yet fully understood. Members of the RZ family of RGS proteins are the only RGS proteins that have selective GAP activity for Gαz, a function that resulted in the name of the family [31, 71, 127, 134]. However, the members of the RZ family are able to also GAP Gαi/o members with varying selectivity.

R4 family

The R4 family of RGS proteins is the largest family of RGS proteins with 10 members. Each of the R4 family members contain only small N‐ and C‐termini apart from the RGS domain. The N‐terminal amphipathic helix present in most R4 family members serves an important function in membrane association and can directly bind phospholipids. In contrast to the RGS domain, which is well conserved among members of the R4 family of RGS proteins, the N‐ and C‐termini vary, enabling specificity of non‐GAP functions. Despite the non‐complex structure of these proteins, several R4 family RGS proteins have been shown to possess additional functions apart from acting as GAPs at activated Gα subunits [11, 96].

Further reading on R4 family

Xie Z et al. (2016) R4 Regulator of G Protein Signaling (RGS) Proteins in Inflammation and Immunity. AAPS J 18: 294‐304 [PMID:26597290]

R7 family

The members of the R7 family of RGS proteins [6] are more complex structures than the R4 family and are closely related to the C. elegans homologues EGL‐10 and EAT‐16 that were identified in the early stage of RGS protein research [36, 55]. Apart from the RGS domain, several additional domains are present in these proteins that mediate protein‐protein interactions, sub‐cellular localization and protein stability. All R7 family members form obligatory dimers with Gβ5 through the G‐γ like (GGL) domain and the disheveled‐EGL10‐Pleckstrin homology (DEP) domain [109]. The DEP and DEP helical extension domain interact with R7 binding protein (R7BP) or RGS9 anchoring protein (R9AP; in retina) that serves as a plasma membrane anchoring mechanism [41, 51].

R12 family

The R12 family consisting of RGS10, 12 and 14. RGS12 and 14 are large proteins with additional domains that can participate in protein‐protein interactions and other functions. In contrast, RGS10 is a small protein consisting of the RGS domain and small N‐ and C‐termini, similar to members of the R4 family. However, the sequence homology the RGS10 RGS domain clearly places it in the R12 family [58]. The Gαi/o‐Loco(GoLoco) motif in RGS12 and 14 has GDI activity (for Guanine nucleotide Dissociation Inhibitor) towards Gαi1, Gαi2 and Gαi3 [53, 105]. Through this activity RGS12 and RGS14 can inhibit G protein signaling both by accelerating GTP hydrolysis and by preventing G protein activation. Splice variants of RGS12 and RGS14 also contain membrane targeting and protein‐protein interaction domains [97, 111, 112].

Sigma receptors

Although termed ’receptors’, the evidence for coupling through conventional signalling pathways is lacking. Initially described as a subtype of opioid receptors, there is only a modest pharmacological overlap and no structural convergence with the G protein‐coupled receptors; the crystal structure of the sigma1 receptor [98] suggests a trimeric structure of a single short transmembrane domain traversing the endoplasmic reticulum membrane, with the bulk of the protein facing the cytosol. A wide range of compounds, ranging from psychoactive agents to antihistamines, have been observed to bind to these sites.

Further reading on Sigma receptors

Chu UB et al. (2016) Biochemical Pharmacology of the Sigma‐1 Receptor. Mol Pharmacol 89: 142‐53 [PMID:26560551] Herrando‐Grabulosa M et al. (2021) Sigma 1 receptor as a therapeutic target for amyotrophic lateral sclerosis. Br J Pharmacol 178: 1336‐1352 [PMID:32761823] Sambo DO et al. (2018) The sigma‐1 receptor as a regulator of dopamine neurotransmission: A potential therapeutic target for methamphetamine addiction. Pharmacol Ther 186: 152‐167 [PMID:29360540] Schmidt HR et al. (2019) The Molecular Function ofσ Receptors: Past, Present, and Future. Trends Pharmacol Sci 40: 636‐654 [PMID:31387763] Su TP et al. (2016) The Sigma‐1 Receptor as a Pluripotent Modulator in Living Systems. Trends Pharmacol Sci 37: 262‐278 [PMID:26869505] Vavers E et al. (2019) Allosteric Modulators of Sigma‐1 Receptor: A Review. Front Pharmacol 10: 223 [PMID:30941035] (‐)‐pentazocine also shows activity at opioid receptors. The sigma2 receptor has recently been reported to be TMEM97 [4], a 4TM protein partner of NPC1, the Niemann‐Pick C1 protein, a 13TM cholesterol‐binding protein.

Transthyretin

Transthyretin (TTR) is a homo‐tetrameric protein which transports thyroxine in the plasma and cerebrospinal fluid and retinol (vitamin A) in the plasma. Many disease causing mutations in the protein have been reported, many of which cause complex dissociation and protein mis‐assembly and deposition of toxic aggregates amyloid fibril formation [84]. These amyloidogenic mutants are linked to the development of pathological amyloidoses, including familial amyloid polyneuropathy (FAP) [7, 20], familial amyloid cardiomyopathy(FAC) [49], amyloidotic vitreous opacities, carpal tunnel syndrome [76] and others. In old age, non‐mutated TTR can also form pathological amyloid fibrils [131]. Pharmacological intervention to reduce or prevent TTR dissociation is being pursued as a therapeutic strategy. To date one small molecule kinetic stabilising molecule (tafamidis) has been approved for FAP, and is being evaluated in clinical trials for other TTR amyloidoses.

Further reading on Transthyretin

Adams D et al. (2019) Hereditary transthyretin amyloidosis: a model of medical progress for a fatal disease. Nat Rev Neurol 15: 387‐404 [PMID:31209302] Bezerra F et al. (2020) Modulation of the Mechanisms Driving Transthyretin Amyloidosis. Front Mol Neurosci 13: 592644 [PMID:33362465] Dohrn MF et al. (2020) Targeting transthyretin ‐ Mechanism‐based treatment approaches and future perspectives in hereditary amyloidosis. J Neurochem [PMID:33155274] Galant NJ et al. (2017) Transthyretin amyloidosis: an under‐recognized neuropathy and cardiomyopathy. Clin Sci 131: 395‐409 [PMID:28213611] Griffin JM et al. (2019) Transthyretin cardiac amyloidosis: A treatable form of heart failure with a preserved ejection fraction. Trends Cardiovasc Med [PMID:31889610] Excess production and accumulation of TTR causes hereditary transthyretin‐mediated amyloidosis. Two novel drugs are now approved to combat this disease: inotersen(Tegsedi ) [52] and patisiran(Onpattro ) [46]. Both of these drugs act to reduce the amount of TTR protein (both wild type and mutant) produced in the liver, but by slightly different mechanisms. Inotersen is an antisense oligonucleotide inhibitor of TTR synthesis, whereas patisiran is a double‐stranded small interfering RNA (which targets a conserved sequence in the 3’ UTR of mutant and wild‐type TTR mRNA). Inotersen is administered subcutaneously, and patisiran is delivered by intravenous infusion in a lipid nanoparticle formulation.

Tubulins

Tubulins are a family of intracellular proteins most commonly associated with microtubules, part of the cytoskeleton. They are exploited for therapeutic gain in cancer chemotherapy as targets for agents derived from a variety of natural products: taxanes, colchicine and vinca alkaloids. These are thought to act primarily throughβ‐tubulin, thereby interfering with the normal processes of tubulin polymer formation and disassembly.

Further reading on Tubulins

Arnst KE et al. (2019) Current advances of tubulin inhibitors as dual acting small molecules for cancer therapy. Med Res Rev 39: 1398‐1426 [PMID:30746734] Boiarska Z et al. (2021) Microtubule‐targeting agents and neurodegeneration. Drug Discov Today 26: 604‐615 [PMID:33279455] Eshun‐Wilson L et al. (2019) Effects of α‐tubulin acetylation on microtubule structure and stability. Proc Natl Acad Sci USA 116: 10366‐10371 [PMID:31072936] Gadadhar S et al. (2017) The tubulin code at a glance. J Cell Sci 130: 1347‐1353 [PMID:28325758] Magiera MM et al. (2018) Tubulin Posttranslational Modifications and Emerging Links to Human Disease. Cell 173: 1323‐1327 [PMID:29856952] Penna LS et al. (2017) Anti‐mitotic agents: Are they emerging molecules for cancer treatment? Pharmacol Ther 173: 67‐82 [PMID:28174095]

SARS‐CoV‐2

Coronaviruses are large, often spherical, enveloped, single‐stranded positive‐sense RNA viruses, ranging in size from 80–220 nm. Their genomes and protein structures are highly conserved. Three coronaviruses have emerged over the last 20 years as serious human pathogens: SARS‐CoV was identified as the causative agent in an outbreak in 2002–2003, Middle East respiratory syndrome (MERS) CoV emerged in 2012 and the novel coronavirus SARS‐CoV‐2 emerged in 2019–2020. SARS‐CoV‐2 is the virus responsible for the infectious disease termed COVID‐19 (WHO Technical Guidance 2020). Alexander SPH et al. (2020) A rational roadmap for SARS‐CoV‐2/COVID‐19 pharmacotherapeutic research and development: IUPHAR Review 29. Br J Pharmacol, 177 (21): 4942‐4966. [PMID:32358833] Cannalire R et al. (2020) Targeting SARS‐CoV‐2 Proteases and Polymerase for COVID‐19 Treatment: State of the Art and Future Opportunities. J Med Chem, [Epub ahead of print]. [PMID:33186044] Cui J et al. (2019) Origin and evolution of pathogenic coronaviruses. Nat Rev Microbiol, 17 (3): 181‐192. [PMID:30531947] Desforges M et al. (2019) Human Coronaviruses and Other Respiratory Viruses: Underestimated Opportunistic Pathogens of the Central Nervous System?. Viruses, 12 (1). [PMID:31861926] Song Z et al. (2019) From SARS to MERS, Thrusting Coronaviruses into the Spotlight. Viruses, 11 (1). [PMID:30646565] Zumla A et al. (2016) Coronaviruses ‐ drug discovery and therapeutic options. Nat Rev Drug Discov, 15(5): 327‐47. [PMID:26868298]

Structural proteins

The virus particle has four structural proteins. The envelope, membrane and spike proteins are on the viral surface, while the polybasic nucleoprotein enables the tight coiling of the viral RNA.

Polyproteins

The viral RNA encodes two overlapping polyproteins which are cleaved autocatalytically by intrinsic proteases (see below).

Comment

The component proteins are non‐structural and are involved in the transcription and replication of viral proteins and RNA.

Proteases

Nucleic acid turnover

Other proteins

Nomenclature Adipo1 receptor Adipo2 receptor
HGNC, UniProt ADIPOR1 , Q96A54 ADIPOR2 , Q86V24
Rank order of potency globular adiponectin ( ADIPOQ , Q15848) > adiponectin ( ADIPOQ , Q15848) globular adiponectin (ADIPOQ, Q15848) = adiponectin ( ADIPOQ , Q15848)
Nomenclature Aryl hydrocarbon receptor
HGNC, UniProt AHR , P35869
Agonists indolo[3,2‐b]carbazole [12] – Mouse, tapinarof [110], indole‐3‐carbinol [12] – Mouse, TCDD
Antagonists ezutromid (pK d 7.3) [132]
Nomenclature bromodomain adjacent to zinc finger domain 2A bromodomain adjacent to zinc finger domain 2B CREB binding protein polybromo 1 SWI/SNF related, matrix associated, actin dependent regulator of chromatin, subfamily a, member 4
HGNC, UniProt BAZ2A , Q9UIF9 BAZ2B , Q9UIF8 CREBBP , Q92793 PBRM1 , Q86U86 SMARCA4 , P51532
Selective inhibitors GSK2801 (pK d 6.6) [87] GSK2801 (Binding) (pK d 6.9) [87] I‐CBP112 (pK d 6.8) [88] PFI‐3 (Binding) (pK d 7.3) [101] PFI‐3 (Binding) (pK d 7.1) [101]
Nomenclature CD2 CD3e CD6 CD20 (membrane‐spanning 4‐domains, subfamily A, member 1) CD33
Common abbreviationSIGLEC3
HGNC, UniProt CD2 , P06729 CD3E , P07766 CD6 , P30203 MS4A1 , P11836 CD33 , P20138
Selective inhibitors alefacept [23, 74]
Antibodies catumaxomab (Binding) [63], muromonab‐CD3 (Binding) [32], otelixizumab (Binding) [14] ofatumumab (Binding) (pK d 9.9) [58], rituximab (Binding) (pK d 8.5) [113], ibritumomab tiuxetan (Binding), obinutuzumab (Binding) [3, 90], tositumomab (Binding) lintuzumab (Binding) (pK d∼10) [16], gemtuzumab ozogamicin (Binding) [10]
Nomenclature CD52 CD80 CD86 cytotoxic T‐lymphocyte‐associated protein 4 (CD152) programmed cell death 1 (CD279) CD300a
Common abbreviationCTLA‐4PD‐1
HGNC, UniProt CD52 , P31358 CD80 , P33681 CD86 , P42081 CTLA4 , P16410 PDCD1 , Q15116 CD300A , Q9UGN4
Endogenous ligands programmed cell death 1 ligand 1 (CD274, Q9NZQ7) (Binding)
Selective inhibitors abatacept (pK d∼7.9) [64, 125] abatacept (pK d∼7.9) [64, 125], belatacept [57]
Antibodies alemtuzumab (Binding) [30, 89] ipilimumab (Binding) (pK d>9) [33], tremelimumab (Binding) (pK d 8.9) [35] pembrolizumab (Binding) (pK d∼10) [17], nivolumab (Binding) (pK d 9.1) [38, 54, 49]
Nomenclature L3MBTL histone methyl‐lysine binding protein 3
HGNC, UniProt L3MBTL3 , Q96JM7
Selective agonists UNC1215 [50]
Nomenclature fatty acid binding protein 1 fatty acid binding protein 2 fatty acid binding protein 3 fatty acid binding protein 4 fatty acid binding protein 5
HGNC, UniProt FABP1, P07148 FABP2, P12104 FABP3, P05413 FABP4, P15090 FABP5, Q01469
Rank order of potency stearic acid, oleic acid> palmitic acid, linoleic acid> arachidonic acid, α‐linolenic acid [91] stearic acid> palmitic acid, oleic acid> linoleic acid> arachidonic acid, α‐linolenic acid [91] stearic acid, oleic acid, palmitic acid> linoleic acid, α‐linolenic acid, arachidonic acid [91] oleic acid, palmitic acid, stearic acid, linoleic acid> α‐linolenic acid, arachidonic acid [91]
Inhibitors fenofibrate (pKi 7.6) [18] – Rat, fenofibric acid (pKi 6.5) [18] – Rat, HTS01037 (pKi 5.1) [42] – Mouse compound 13 (pKi 8.7) [118]
Selective inhibitors HM50316 (pKi>9) [66]
CommentsA broader substrate specificity than other FABPs, binding two fatty acids per protein [123].Crystal structure of the rat FABP2 [95].Crystal structure of the human FABP3 [137].Crystal structure of the human FABP5 [44].
Nomenclature fatty acid binding protein 6 fatty acid binding protein 7 peripheral myelin protein 2 fatty acid binding protein 9 fatty acid binding protein 12
HGNC, UniProt FABP6, P51161 FABP7, O15540 PMP2, P02689 FABP9, Q0Z7S8 FABP12, A6NFH5
CommentsAble to transport bile acids [142].Crystal structure of the human FABP7 [9].In silico modelling suggests that PMP2/FABP8 can bind both fatty acids and cholesterol [70].
Nomenclature retinol binding protein 1  retinol binding protein 2  retinol binding protein 3  retinol binding protein 4  retinol binding protein 5  retinol binding protein 7 
HGNC, UniProt RBP1, P09455 RBP2, P50120 RBP3, P10745 RBP4, P02753 RBP5, P82980 RBP7, Q96R05
Rank order of potency stearic acid> palmitic acid, oleic acid, linoleic acid, α‐linolenic acid, arachidonic acid [92]
Inhibitors A1120 (pIC50 7.8) [128]
Nomenclature retinaldehyde binding protein 1 cellular retinoic acid binding protein 1 cellular retinoic acid binding protein 2
HGNC, UniProt RLBP1, P12271 CRABP1, P29762 CRABP2, P29373
Rank order of potency 11‐cis‐retinal, 11‐cis‐retinol> 9‐cis‐retinal, 13‐cis‐retinal, 13‐cis‐retinol, all‐trans‐retinal, retinol [22] tretinoin> alitretinoin stearic acid> palmitic acid, oleic acid, linoleic acid, α‐linolenic acid, arachidonic acid [92]
Nomenclature notch receptor 1 notch receptor 2 notch receptor 3 notch receptor 4
HGNC, UniProt NOTCH1, P46531 NOTCH2, Q04721 NOTCH3, Q9UM47 NOTCH4, Q99466
Inhibitors IMR‐1 (Binding) (pK d 5) [8]
Antibodies brontictuzumab (Binding) (pK d 8.4) [30] tarextumab (Binding) (pK d>10) [31] tarextumab (Binding) (pK d 9.9) [31]
CommentsVarious types of activating and inactivating NOTCH1 mutations have been reported to be associated with human diseases, for example: aortic valve disease [29, 73], Adams‐Oliver syndrome 5 [114], T‐cell acute lymphoblastic leukemia (T‐ALL) [130], chronic lymphocytic leukemia (CLL) [89] and head and neck squamous cell carcinoma [1, 115].Notch receptor 4 is a potential therapeutic molecular target for triple‐negative breast cancer [60, 77].
Nomenclature regulator of G‐protein signaling 17 regulator of G‐protein signaling 19 regulator of G‐protein signaling 20
Common abbreviationRGS17RGS19RGS20
HGNC, UniProt RGS17, Q9UGC6 RGS19, P49795 RGS20, O76081
Nomenclature regulator of G‐protein signaling 1 regulator of G‐protein signaling 2 regulator of G‐protein signaling 3 regulator of G‐protein signaling 4
Common abbreviationRGS1RGS2RGS3RGS4
HGNC, UniProt RGS1, Q08116 RGS2, P41220 RGS3, P49796 RGS4, P49798
Selective inhibitors RGS4 inhibitor 11b (pIC50 7.8) [124], CCG‐50014 (pIC50 7.5) [13, 124], RGS4 inhibitor 13 (pIC50 7.3) [124]
Nomenclature regulator of G‐protein signaling 5 regulator of G‐protein signaling 8 regulator of G‐protein signaling 13 regulator of G‐protein signaling 16 regulator of G‐protein signaling 18 regulator of G‐protein signaling 21
Common abbreviationRGS5RGS8RGS13RGS16RGS18RGS21
HGNC, UniProt RGS5, O15539 RGS8, P57771 RGS13, O14921 RGS16, O15492 RGS18, Q9NS28 RGS21, Q2M5E4
Nomenclature regulator of G‐protein signaling 6 regulator of G‐protein signaling 7 regulator of G‐protein signaling 9 regulator of G‐protein signaling 11
Common abbreviationRGS6RGS7RGS9RGS11
HGNC, UniProt RGS6, P49758 RGS7, P49802 RGS9, O75916 RGS11, O94810
Nomenclature regulator of G‐protein signaling 10 regulator of G‐protein signaling 12 regulator of G‐protein signaling 14
Common abbreviationRGS10RGS12RGS14
HGNC, UniProt RGS10, O43665 RGS12, O14924 RGS14, O43566
Nomenclature sigma non‐opioid intracellular receptor 1 σ2
HGNC, UniProt SIGMAR1, Q99720 TMEM97, Q5BJF2
Agonists 1,3‐ditolylguanidine [61] – Guinea pig
Selective agonists PRE‐084 [117], (+)‐SKF 10.047
Antagonists SM 21 (pIC50 7.2) [67]
Selective antagonists NE‐100 (pIC50 8.4) [81], BD‐1047 (pIC50 7.4) [72]
Labelled ligands [3H]pentazocine (Agonist) [3H]‐di‐o‐tolylguanidine (Agonist)
CommentsThe sigma2 receptor has been reported to be TMEM97 [4], a 4TM protein partner of NPC1, the Niemann‐Pick C1 protein, a 13TM cholesterol‐binding protein.
Nomenclature transthyretin
Common abbreviationTTR
HGNC, UniProt TTR, P02766
Inhibitors tafamidis (pK d 8.7) [15]
Nomenclature tubulin alpha 1a tubulin alpha 4a tubulin beta class I tubulin beta 3 class III tubulin beta 4B class IVb tubulin beta 8 class VIII
HGNC, UniProt TUBA1A, Q71U36 TUBA4A, P68366 TUBB, P07437 TUBB3, Q13509 TUBB4B, P68371 TUBB8, Q3ZCM7
Inhibitors vinblastine (pIC50 9), eribulin (pIC50 8.2) [78], paclitaxel (Mitotic cell cycle arrest in A431 cells) (pEC50 8.1) [83], colchicine (pIC50 8) [19], cabazitaxel, docetaxel, ixabepilone, vincristine combretastatin A4 (pIC50 8.2) [28]
Nomenclature Envelope protein Membrane glycoprotein Nucleoprotein Spike glycorprotein
Other namesenvelope small membrane protein, orf4Membrane proteinNucleocapsid proteinSpike protein
UniProt P0DTC4 P0DTC5 P0DTC9 P0DTC2
FunctionBy similarity to other coronavirus E proteins, SARS‐CoV‐2 E is predicted to constitute a single transmembrane (potentially homopentameric) ion channel with selectivity for monovalent cations over monovalent anions [85, 119, 133, 139]The membrane glycoprotein (M) is usually regarded as the most abundant protein in the coronavirus envelope. By similarity with other coronavirus M proteins it is predicted to be essential for initiating assembly of the viral envelope components [94]The coronavirus nucleocapsid phosphoprotein (N, or nucleoprotein) is highly basic and binds the viral RNA as a dimeric entity [25] into nucleocapsids which protect the viral genome, while also providing access for replication when requiredThe spike protein extends from the viral surface and binds to the host cell surface enzyme ACE2 to facilitate viral entry into the cell
Nomenclature Replicase polyprotein 1a Replicase polyprotein 1ab
Other namesPolyprotein 1aPolyprotein 1ab
UniProt P0DTC1 P0DTD1
FunctionThe replicase polyprotein 1a (pp1a) encodes a set of 11 smaller proteins, including two proteases that are responsible for cleaving the polyprotein chain into its component partsThe replicase polyprotein 1ab (pp1ab) encodes a set of 16 smaller proteins (5 more than pp1a)
Nomenclature 3C‐like (main) protease Papain‐like protease
Other names3c‐like proteinase, SARS‐CoV‐2 Mpro, Chain A, 3c‐like Proteinase, 3CL protease, Mpro, nsp5non‐structural protein 3, NS3, nsp3, PL‐PRO
UniProt P0C6U8 P0DTC1
EC number3.4.22.693.4.22.46
FunctionThe 3C‐like protease cleaves the two polyproteins encoded by the SARS‐CoV‐2 genome (pp1a and pp1ab) into a range of non‐structural proteins (nsp1‐11 from pp1a; nsp1‐16 from pp1ab). As these component proteins play crucial roles in viral replication, the 3C‐like protease is considered to be a good molecular target for drug development. Small molecule 3C‐like protease inhibitors would be predicted to reduce viral replication [33, 85]The papain‐like protease is a domain within coronavirus Nsp3. Its proteolytic activity cleaves three sites in the viral replicase polyprotein (recognition consensus sequence LXGGXX) to release the three non‐structural proteins Nsp1, Nsp2, and Nsp3 [40]. It has additional non‐proteolytic functions as part of the multicomponent replicase‐transcriptase complex [103]
Nomenclature Non‐structural protein 8 RNA‐dependent RNA polymerase
Other namesNsp8non‐structural protein 12, nsp12
UniProt P0DTC8 P0DTD1
FunctionCoronavirus nsp8 proteins form a hexadecameric complex with nsp7 proteins (8 subunits of each) [48, 122]. This complex may participate in viral replication by acting as a primase for de novo initiation of RNA synthesisThe conservation of RdRP catalytic domain between different RNA viruses endows inhibitors that were designed against other viral pathogens with activity against the SARS coronaviruses. Viral RdRP is the molecular target of nucleotide‐based broad‐spectrum antiviral compounds like remdesivir, tenofovir and ribavirin [33, 129, 141]
Nomenclature Protein 3a Protein 7a Protein 9b Non‐structural protein 6 Non‐structural protein 7b
Other namesOrf3aOrf7aOrf9b, Accessory protein 9b, ORF‐9bNsp6Accessory protein 7b, nsp7b
UniProt P0DTC3 P0DTC7 P0DTD2 P0DTC6 P0DTD8
FunctionProtein 3a is a transmembrane pore‐forming viral protein (viroporin) with potassium ion channel activityThe main function of the SARS‐CoV protein 7a appears to be disruption of the host cell cycle and induction of caspase‐dependent apoptosis [120]. By homology SARS‐CoV‐2 protein 7a is likely to produce the same effectSARS‐CoV protein 9b is a virion‐associated accessory protein [120] that acts to block the host’s ability to mount an antiviral IFN‐induced innate immune response [87]. By homology, 9b from SARS‐CoV‐2 would be predicted to exhibit a similar functionCoronavirus nsp6 proteins limit autophagosome expansion [21]. This mechanism may favour coronavirus infection by damaging autophagosome‐mediated delivery of viral components to lysosomes for degradationProtein 7b is a coronavirus accessory protein. Experimental evidence suggests that SARS‐CoV 7b has some attenuating function [87]. By homology, SARS‐CoV‐2 7b is likely to have a similar function
  6 in total

1.  Global distribution of radionuclides (137Cs and 40K) in marine mammals.

Authors:  Ryuji Yoshitome; Takashi Kunito; Tokutaka Ikemoto; Shinsuke Tanabe; Hisataka Zenke; Masanobu Yamauchi; Nobuyuki Miyazaki
Journal:  Environ Sci Technol       Date:  2003-10-15       Impact factor: 9.028

2.  Environmental impact from agrochemicals in Bali (Indonesia).

Authors:  B Machbub; H F Ludwig; D Gunaratnam
Journal:  Environ Monit Assess       Date:  1988-07       Impact factor: 2.513

3.  FACS enrichment and identification of floc-associated alphaproteobacterial tetrad-forming organisms in an activated sludge community.

Authors:  Simon McIlroy; Daniel Hoefel; Sarah Schroeder; Johwan Ahn; Daniel Tillett; Christopher Saint; Robert J Seviour
Journal:  FEMS Microbiol Lett       Date:  2008-06-28       Impact factor: 2.742

4.  Flap management during LASIK after radial keratotomy.

Authors:  V Thompson
Journal:  J Refract Surg       Date:  1997 Mar-Apr       Impact factor: 3.573

5.  AG10 inhibits amyloidogenesis and cellular toxicity of the familial amyloid cardiomyopathy-associated V122I transthyretin.

Authors:  Sravan C Penchala; Stephen Connelly; Yu Wang; Miki S Park; Lei Zhao; Aleksandra Baranczak; Irit Rappley; Hannes Vogel; Michaela Liedtke; Ronald M Witteles; Evan T Powers; Natàlia Reixach; William K Chan; Ian A Wilson; Jeffery W Kelly; Isabella A Graef; Mamoun M Alhamadsheh
Journal:  Proc Natl Acad Sci U S A       Date:  2013-05-28       Impact factor: 11.205

Review 6.  Transport and biological activities of bile acids.

Authors:  Brittnee L Zwicker; Luis B Agellon
Journal:  Int J Biochem Cell Biol       Date:  2013-04-17       Impact factor: 5.085

  6 in total
  20 in total

1.  Transmembrane Domain 3 Is a Transplantable Pharmacophore in the Photodynamic Activation of Cholecystokinin 1 Receptor.

Authors:  Yuan Li; Zong Jie Cui
Journal:  ACS Pharmacol Transl Sci       Date:  2022-07-08

2.  A novel peptide inhibitor of Dll4-Notch1 signalling and its pro-angiogenic functions.

Authors:  Guofu Zhu; Ying Lin; Tandi Ge; Shekhar Singh; Hao Liu; Linlin Fan; Shumin Wang; Jordan Rhen; Dongyang Jiang; Yuyan Lyu; Yiheng Yin; Xiankai Li; Danielle S W Benoit; Weiming Li; Yawei Xu; Jinjiang Pang
Journal:  Br J Pharmacol       Date:  2022-01-11       Impact factor: 9.473

3.  Glucosylsphingosine evokes pruritus via activation of 5-HT2A receptor and TRPV4 in sensory neurons.

Authors:  Babina Sanjel; Bo-Hyun Kim; Myung-Hyun Song; Earl Carstens; Won-Sik Shim
Journal:  Br J Pharmacol       Date:  2022-02-04       Impact factor: 9.473

4.  Untargeted metabolomics identifies the potential role of monocarboxylate transporter 6 (MCT6/SLC16A5) in lipid and amino acid metabolism pathways.

Authors:  Tianjing Ren; Robert S Jones; Marilyn E Morris
Journal:  Pharmacol Res Perspect       Date:  2022-06

5.  The IUPHAR/BPS guide to PHARMACOLOGY in 2022: curating pharmacology for COVID-19, malaria and antibacterials.

Authors:  Simon D Harding; Jane F Armstrong; Elena Faccenda; Christopher Southan; Stephen P H Alexander; Anthony P Davenport; Adam J Pawson; Michael Spedding; Jamie A Davies
Journal:  Nucleic Acids Res       Date:  2022-01-07       Impact factor: 16.971

6.  Antibiotic use and associated factors in adult outpatients from 2000 to 2019.

Authors:  Carlotta Franchi; Sara Mandelli; Ida Fortino; Alessandro Nobili
Journal:  Pharmacol Res Perspect       Date:  2021-12

Review 7.  New insights into the role of melatonin in diabetic cardiomyopathy.

Authors:  Keming Huang; Xianling Luo; Yi Zhong; Li Deng; Jian Feng
Journal:  Pharmacol Res Perspect       Date:  2022-02

8.  Safety and efficacy of fluvoxamine in COVID-19 ICU patients: An open label, prospective cohort trial with matched controls.

Authors:  Martina Calusic; Robert Marcec; Lea Luksa; Ivan Jurkovic; Natasa Kovac; Slobodan Mihaljevic; Robert Likic
Journal:  Br J Clin Pharmacol       Date:  2021-12-01       Impact factor: 3.716

9.  The effects of prolactin receptor blockade in a murine endometriosis interna model.

Authors:  Christiane Otto; Hannes-Friedrich Ulbrich; Christoph Freiberg
Journal:  Pharmacol Res Perspect       Date:  2022-02

Review 10.  Community guidelines for GPCR ligand bias: IUPHAR review 32.

Authors:  Peter Kolb; Terry Kenakin; Stephen P H Alexander; Marcel Bermudez; Laura M Bohn; Christian S Breinholt; Michel Bouvier; Stephen J Hill; Evi Kostenis; Kirill A Martemyanov; Rick R Neubig; H Ongun Onaran; Sudarshan Rajagopal; Bryan L Roth; Jana Selent; Arun K Shukla; Martha E Sommer; David E Gloriam
Journal:  Br J Pharmacol       Date:  2022-03-27       Impact factor: 9.473

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