Literature DB >> 31649841

Structural simplification: an efficient strategy in lead optimization.

Shengzheng Wang1,2, Guoqiang Dong1, Chunquan Sheng1.   

Abstract

The trend toward designing large hydrophobic molecules for lead optimization is often associated with poor drug-likeness and high attrition rates in drug discovery and development. Structural simplification is a powerful strategy for improving the efficiency and success rate of drug design by avoiding "molecular obesity". The structural simplification of large or complex lead compounds by truncating unnecessary groups can not only improve their synthetic accessibility but also improve their pharmacokinetic profiles, reduce side effects and so on. This review will summarize the application of structural simplification in lead optimization. Numerous case studies, particularly those involving successful examples leading to marketed drugs or drug-like candidates, will be introduced and analyzed to illustrate the design strategies and guidelines for structural simplification.
© 2019 Chinese Pharmaceutical Association and Institute of Materia Medica, Chinese Academy of Medical Sciences. Production and hosting by Elsevier B.V.

Entities:  

Keywords:  11β-HSD, 11β-hydroxysteroid dehydrogenase; 3D, three-dimensional; ADMET, absorption, distribution, metabolism, excretion and toxicity; AM2, adrenomedullin-2 receptor; BIOS, biology-oriented synthesis; CCK, cholecystokinin receptor; CGRP, calcitonin gene-related peptide; Drug design; Drug discovery; GlyT1, glycine transport 1; HBV, hepatitis B virus; HDAC, histone deacetylase; HLM, human liver microsome; JAKs, Janus tyrosine kinases; LE, ligand efficiency; Lead optimization; LeuRS, leucyl-tRNA synthetase; MCRs, multicomponent reactions; MDR-TB, multidrug-resistant tuberculosis; MW, molecular weight; NP, natural product; NPM, nucleophosmin; PD, pharmacodynamic; PK, pharmacokinetic; PKC, protein kinase C; Pharmacophore-based simplification; Reducing chiral centers; Reducing rings number; SAHA, vorinostat; SAR, structure‒activity relationship; SCONP, structural classification of natural product; Structural simplification; Structure-based simplification; TSA, trichostatin A; TbLeuRS, T. brucei LeuRS; ThrRS, threonyl-tRNA synthetase; VANGL1, van-Gogh-like receptor protein 1; aa-AMP, aminoacyl-AMP; aa-AMS, aminoacylsulfa-moyladenosine; aaRSs, aminoacyl-tRNA synthetases; hA3 AR, human A3 adenosine receptor; mTORC1, mammalian target of rapamycin complex 1

Year:  2019        PMID: 31649841      PMCID: PMC6804494          DOI: 10.1016/j.apsb.2019.05.004

Source DB:  PubMed          Journal:  Acta Pharm Sin B        ISSN: 2211-3835            Impact factor:   11.413


Introduction

For several decades, the pharmaceutical industry has suffered high attrition rates in drug development despite an ever-increasing understanding of chemistry and biology and the emergence of new drug discovery technologies1, 2. A typical drug discovery and development process includes target identification, hit generation, hit-to-lead-to-candidate optimization, and preclinical and clinical evaluation of the resulting drug candidates. The efficiency of the hit-to-lead-to-candidate process is particularly important for identifying drug-like candidates and determining the success of the drug development process. During hit-to-lead optimization, medicinal chemists always attempt to improve the target binding affinity and maximize the in vitro potency. This usually leads to compounds with higher molecular weights (MW values) and lipophilicities, resulting in undesirable physicochemical properties and pharmacokinetic properties. A retrospective analysis of molecules reported in the Journal of Medicinal Chemistry from 1959 to 2009 indicated that the reported bioactive molecules became larger, more complex, more lipophilic, flatter and more aromatic. Oprea et al. analyzed a dataset of lead-drug pairs and found that in the optimization of a lead into a drug, the structural complexity of the compound generally increased. During the hit-to-lead-to-candidate process, the MW, lipophilicity, and number of rings and rotatable bonds will increase. However, this trend increases the failure rate of drug development due to the poor ADMET (absorption, distribution, metabolism, excretion and toxicity) profiles of the resulting candidates. Molecular obesity” has been considered an important reason for the high attrition rates of drug candidates and low productivity in the pharmaceutical industry1, 7, 8. Additionally, Polanski's analysis revealed that less complex drugs were more likely to achieve better market success. Currently, multivariate optimization, namely, simultaneous optimization of the pharmacological and pharmacokinetic properties, has been widely used to improve the efficiency of lead optimization. To reduce molecular obesity, structural simplification by the judicious removal of nonessential groups, represents a practical and powerful strategy in multivariate lead optimization. Molecular obesity is associated with large MW and high molecular complexity. In particular, the molecular complexity of target molecules should be analyzed before structural simplification of the design (Fig. 1). The number of rings and how they are connected (linked, fused or bridged) as well as the number and configuration of chiral centers are key factors in determining the molecular complexity. Reducing the MW and molecular complexity has been regarded as having positive effects on the pharmacokinetic (PK)/pharmacodynamics (PD) profiles11, 12. The typical process for structural simplification to generate simplified analogues mainly includes a step-by-step analysis of the complex structure, a determination of the substructures (or groups) important for the biological activity, the elucidation of the structure‒activity relationships (SARs) and pharmacophores, and the removal of unnecessary structural motifs. Eliminating redundant chiral centers and reducing the number of rings are the most widely used approaches to simplification13, 14. The efficiency of the structural simplification process will be improved if the targets and binding mode of the lead compounds have been identified. The effects of key structural motifs on the ligand–target interactions will guide the rational design of simplified derivatives.
Figure 1

A general process for the structural simplification of bioactive molecules.

A general process for the structural simplification of bioactive molecules. Due to its importance in drug discovery, herein we present a comprehensive review of structural simplification in medicinal chemistry and drug discovery. Representative examples leading to marketed drugs or drug-like molecules will be introduced and analyzed in detail to illustrate the design strategies and guidelines associated with structural simplification.

Structural simplification of natural products

Natural products (NPs) are rich resources for drug discovery and development13, 15. However, the complex chemical structures of NPs often complicate the total synthesis, SAR investigations and structural optimizations and result in unfavorable ADMET properties. Therefore, simplifying complex structures without decreasing the desired biological activity is an effective strategy for improving synthetic accessibility and accelerating the drug development process. A classic example of the structural simplification of NPs is the development of simplified morphine-derived analgesics, in which the complex pentacyclic system of morphine (1) was simplified step-by-step (Fig. 2). Systemically reducing the complexity of the ring system led to a number of semisynthetic or synthetic analgesics (e.g., compounds 2–5)18, 19, 20. The successful development of simplified morphine derivatives also provides several principles for further structural simplifications. First, reducing the scaffold complexity and removing chiral centers are effective approaches for designing simplified molecules. Second, retaining the key pharmacophores (for morphine: an aromatic ring, a basic tertiary amine and a piperidine or piperidine-mimic) and proper conformation is essential for biological activity. Third, the pharmacological and toxicological properties may change during the structural simplification process. Compared with morphine, several simplified morphine analogues (e.g., butophanol19, 20, 21, 2) show improved potency and reduced addiction side effects22, 23, 24, 25, 26, 27. Morphine is mainly a μ-opioid receptor agonist (Ki = 1.8 nmol/L), whereas pentazocine (3) is a κ-opioid receptor agonist and μ-receptor antagonist.
Figure 2

Structural simplification of morphine leading to marketed drugs including butophanol, pentazocine, pethidine and methadone.

Structural simplification of morphine leading to marketed drugs including butophanol, pentazocine, pethidine and methadone.

Marketed drugs and clinical candidates derived from the structural simplification of NPs

The successful development of simplified morphine derivatives inspired numerous structural simplification investigations based on NPs. Herein, only the case studies leading to marketed drugs and clinical candidates are briefly discussed (Figure 3, Figure 4).
Figure 3

Structural simplification of natural products (NPs) leading to marketed drugs including eribulin mesilate, fingolimod, vorinostat and bicyclol.

Figure 4

Structural simplification of NPs leading to clinical candidates including ruboxistaurin, enzastaurin and devazepide.

Structural simplification of natural products (NPs) leading to marketed drugs including eribulin mesilate, fingolimod, vorinostat and bicyclol. Structural simplification of NPs leading to clinical candidates including ruboxistaurin, enzastaurin and devazepide. Halichondrin B (6, Fig. 3) is a very complex marine NP that acts by destabilizing tubulin, and it shows excellent antitumor activity31, 32. However, drug development of halichondrin B was hampered by the scarcity of the marine source and its difficult total synthesis (approximately 120 steps). SAR analysis indicated that the C1–C38 macrolide-truncated fragment showed comparable antitumor activity to that of halichondrin B, and the unstable lactone moiety could be replaced by a nonhydrolyzable ketone. Thus, the simplified analogue eribulin mesilate (7, Fig. 3) was successfully developed for the treatment of refractory metastatic breast cancer35, 36, 37. Myriocin (8, Fig. 3) is a fungal metabolite with immunosuppressive activity (IC50 = 8.0 nmol/L) that acts by targeting sphingosine-1-phosphate (S1P) receptors. Myriocin was unsuitable for direct clinical development because of its significant toxicity and poor solubility. The structural simplification of myriocin was based on the SAR that the C-4 hydroxyl group, C-6 double bond, C-14 ketone and C-3 chiral center were unnecessary for the activity38, 39. Thus, simplified analogue fingolimod (9, Fig. 3) was designed with a symmetric 2-alkyl-2-aminopropane-1,3-diol side chain to mimic the terminal structure of sphingosine, and the incorporation of a phenyl group reduced the flexibility of the alkyl side chain38, 40. Compared with myriocin, fingolimod showed higher potency (IC50 = 6.1 nmol/L), more favorable physicochemical properties and reduced toxicity, and in 2010, it was marketed for the treatment of multiple sclerosis. The first marketed histone deacetylase (HDAC) inhibitor, vorinostat (SAHA, 11, Fig. 3) can be regarded as a simplified analogue of trichostatin A (TSA, 10, Fig. 3). The trans-conjugated double bonds and the chiral center in TSA were found to have little impact on its HDAC-inhibitory activity. After eliminating the chiral center and the conjugated double bond, simplified analogue SAHA retained the excellent HDAC-inhibitory activity (HDAC1 IC50 = 0.04 μmol/L) and can be easily synthesized. SAHA was approved by FDA in 2006 for the treatment of advanced primary cutaneous T-cell lymphoma. Schisandin C (12, Fig. 3) is a NP with anti-hepatitis B virus (HBV) and transaminase-decreasing activities. Structural simplification studies were initiated by the total synthesis of an incorrectly assigned structure of schisandin C. Interestingly, a synthetic intermediate (bifendate) was found to potently decrease aminotransferase levels. After structural optimization, bicyclol (13) was successfully developed for treating patients with elevated aminotransferase levels caused by chronic hepatitis. Compared with schisandin C, bicyclol retains the potent pharmacological activity, and its solubility and pharmacokinetic properties are greatly improved. Moreover, the synthetic challenge is greatly decreased due to the removal of the seven-membered ring. Currently, examples of clinical candidates derived from the structural simplification of NPs are rather limited (Fig. 4). Staurosporine (14) is a potent inhibitor of protein kinase C (PKC). Structural simplification of staurosporine led to the discovery of two clinical candidates, ruboxistaurin (15) and enzastaurin (16), which have both entered phase III clinical trials. However, further drug development failed because of limited efficacy. Asperlicin (17) is a selective antagonist (IC50 = 1.4 μmol/L) of cholecystokinin receptors (CCK) with potential therapeutic effects in CCK-related gastrointestinal disorders50, 51. To address the limitations of asperlicin (e.g., challenging total synthesis and poor oral bioavailability), simplified analogue devazepide (18, MK-329) was developed, and it shows excellent CCK antagonistic activity (IC50 = 0.8 nmol/L) and selectivity52, 53, 54. Although the clinical development of devazepide was not successful, it is widely used as a reference compound in studies on CCK receptors. In most of these case studies, reducing the synthetic difficulty is the initial impetus for the structural simplification of the NP, and in this context, simplifying the scaffold ring system and eliminating chiral centers are the most frequently used approaches. When the NPs are simpler, more favorable PK/PD profiles can be achieved.

New synthetic and computational approaches in the structural simplification of NPs

Structural simplification of bioactive alkaloids via multicomponent reactions

Multicomponent reactions (MCRs) have attracted great interest in medicinal chemistry and drug discovery due to their synthetic advantages, such as their environmental friendliness, atom economy, and ability to generate complex molecules in only one or two synthetic steps. One-step MCRs have been successfully used to construct simplified analogues of NPs (e.g., podophyllotoxin, campotothecin and melicobisquinolinone B). 4H-Pyrano-[2,3-b]naphthoquinone (blue part, Fig. 5) is a structural motif commonly found in NPs, such as pyranokunthone B (19), lapachones (20–21), and rhinacanthin O (22). Magedov et al. developed a three-component reaction of 2-hydroxy-1,4-naphthoquinone (23) with malononitrile (25) and various aromatic aldehydes (24) to efficiently construct a library of compounds with simplified pyranonaphthoquinone scaffolds (26, Fig. 5). Most derivatives displayed low micromolar inhibitory activities against a wide range of cancer cell lines. Compounds 27 and 28 displayed potent antitumor activities against HeLa cells with GI50 values of 4.0 and 5.3 μmol/L, respectively, which were comparable to that of β-lapachone (21, GI50 = 4.6 μmol/L).
Figure 5

Structural simplification of pyrano-naphthoquinone NPs based on multi-component reactions (MCRs).

Structural simplification of pyrano-naphthoquinone NPs based on multi-component reactions (MCRs).

Computational fragmentation of NPs

Recently, there has been growing interest in the computational analysis of NPs using cheminformatic and bioinformatic tools. The stepwise deconstruction of NPs leads to simplified derivatives called NP fragments. The NP-derived fragments have obvious advantages in drug discovery due to their reduced structural complexity, good synthetic accessibility and improved drug-likeness. For example, Waldmann's group performed cheminformatic analysis on more than 180,000 NPs and assembled a library containing 2000 structurally diverse NP-derived fragments. The utility of their fragment library was demonstrated by the identification of novel p38a MAP kinase stabilizers (29) and phosphatase inhibitors (30–35) with high ligand efficiency (LE) values (Fig. 6).
Figure 6

Selected examples of bioactive NP fragments. Abbreviations: mycobacterium tuberculosis protein tyrosine phosphatases B (MPTPB), vascular endothelial protein tyrosine phosphatase (VEPTP), cell division cycle 25 homologue A (Cdc25A), VH1-related phosphatase (VHR), SH2 domain-containing phosphatase (SHP2) and protein tyrosine phosphatase 1B (PTP1B).

Selected examples of bioactive NP fragments. Abbreviations: mycobacterium tuberculosis protein tyrosine phosphatases B (MPTPB), vascular endothelial protein tyrosine phosphatase (VEPTP), cell division cycle 25 homologue A (Cdc25A), VH1-related phosphatase (VHR), SH2 domain-containing phosphatase (SHP2) and protein tyrosine phosphatase 1B (PTP1B). The sequential dissection of NPs also offers new opportunities to discover novel biologically active chemical scaffolds. Thus, NP fragments can be used as good starting points for chemical biology and medicinal chemistry studies. The incorporation of NP-derived fragments has been validated as an effective strategy in drug design. More importantly, these fragments may retain the unique structural features and biological relevance of their parent NPs, which have a high degree of three-dimensional (3D) organization and occupy largely unexplored chemical space65, 66. Thus, NP fragments should be particularly useful in fragment-based drug design, de novo drug design and discovering small-molecule inhibitors of challenging protein targets (e.g., protein–protein interactions). Initially, the fragmentation of NPs was driven by chemistry-based rules, such as the structural classification of NPs (SCONP). Sequential structural simplifications following the SCONP result in a scaffold tree in which the complexity of the scaffold decreases step-by-step (Fig. 7). The simpler scaffolds in the scaffold tree may retain the bioactivity of the more complex compounds, and they can then be used for drug design or designing compound libraries. A typical SCONP scaffold tree starting from 11β-hydroxysteroid dehydrogenases (11β-HSDs) inhibitors glycyrrhetinic acid (36) and dysidiolide (37) is depicted in Fig. 770, 72. Inspired by the simplified scaffolds, libraries of α,β-unsaturated γ-lactones (38–39) and dehydrodecalines (40) were synthesized and assayed. A very simple compound (41) showed good and selective activity against 11β-HSD1 (IC50 = 0.35 μmol/L).
Figure 7

A structural classification of natural product (SCONP) scaffold tree generated from glycyrrhetinic acid and dysidiolide and compound libraries inspired by these simplified scaffolds.

A structural classification of natural product (SCONP) scaffold tree generated from glycyrrhetinic acid and dysidiolide and compound libraries inspired by these simplified scaffolds. As an improved version of SCONP, Waldmann's group further developed Scaffold Hunter, an interactive tool for the intuitive hierarchical analysis of complex structures and bioactivity data73, 74. Unlike SCONP, bioactivity was used as a major criterion for guiding the hierarchical arrangement. Thus, Scaffold Hunter generates a hierarchical scaffold tree annotated with bioactivity information. Scaffold Hunter enables the rapid and efficient navigation of large chemical and biological spaces and the identification of virtual (or novel) scaffolds possessing bioactivities similar to those of the original NPs. These virtual scaffolds offer unique opportunities to discover new ligands for a particular protein target or compounds that can be used as molecular probes to identify novel drug targets. Notably, complex structures can be simplified into synthetically accessible bicyclic to tetracyclic scaffolds with retained bioactivity, and these smaller structures offer improved drug-likeness and synthetically accessible starting points for designing new bioactive chemotypes. Recently, Prescher et al. constructed a library of unique NP-like fragments that covers novel and unprecedented chemical space by the degradation and diversification of NPs.

Biology-oriented synthesis

As hypothesis-generating approaches, SCONP and Scaffold Hunter laid a foundation for the design of collections of structurally simplified NP-like compounds. Waldmann's group developed the concept of biology-oriented synthesis (BIOS), which integrates computational and synthetic tools to design and synthesize bioactive simplified NP analogues by mapping both the biologically relevant chemical space and the target protein space. The development of highly efficient and practical synthetic methods is the heart of BIOS. Waldmann and coworkers reported a series of novel BIOS-inspired synthetic methods and constructed new compound libraries for chemical biology and medicinal chemistry studies. Phenotypic or target-based screenings of BIOS compound libraries in combination with target identification have successfully yielded several novel classes of bioactive compounds. Using biologically prevalidated NPs as starting points and using a hierarchically arranged scaffold tree for guidance, a typical BIOS library contains only 200 to 500 compounds and results in relatively high hit rates (approximately 0.5%–1.5%), showing the promise of applying BIOS in chemical biology and drug discovery. The 3,3′-pyrrolidinyl-spirooxindole scaffold is responsible for a wide variety of biological activities. For example, spirotryprostatin B (42, Fig. 8) is an inhibitor of tubulin polymerization and arrests the cell cycle at the G2/M phase. Waldmann's group constructed an NP-inspired 3,3′-pyrrolidinyl spirooxindole library (43) by a highly enantioselective, Lewis acid-catalyzed 1,3-dipolar cycloaddition reaction. Cellular evaluations revealed that compound (−)-44 interfered with microtubule polymerization rather than inhibiting p53-MDM2 interactions.
Figure 8

Biology‒oriented synthesis (BIOS) library inspired by spirotryprostatin B and bioactive simplified analogues.

Biology‒oriented synthesis (BIOS) library inspired by spirotryprostatin B and bioactive simplified analogues. Mono-, bi-, and tricyclic oxepanes are biologically relevant scaffolds embedded in a number of NPs (e.g., sodwanone S, 45, Fig. 9) that show various bioactivities. Waldmann and coworkers developed new one-pot cascade reactions for the synthesis of NP-inspired oxepane libraries (46 and 47). Among the prepared compounds, novel WNT-signaling modulators were identified by a reporter gene assay. Oxepane 48 was the most active compound with an ED50 value of 1.8 μmol/L. Moreover, its simplified analogue, 49, retained this activity (ED50 = 9.9 μmol/L). Target identification using a chemical proteomics approach indicated that compound 48 reversibly bound to van-Gogh-like receptor protein 1 (VANGL1).
Figure 9

BIOS library inspired by sodwanone S and bioactive simplified analogues.

BIOS library inspired by sodwanone S and bioactive simplified analogues. Polycyclic indole alkaloids (e.g., vinblastine, 50, Fig. 10) are a rich source of mitosis-targeting agents. Dückert et al. developed highly efficient cascade reactions to synthesize NP-inspired indoloquinolizines (51). Cellular screening in combination with target identification revealed that compound (R)-52 was a unique dual modulator of centrosome-associated protein nucleophosmin (NPM) and nuclear export receptor CRM1. The dual targeting of NPM and CRM1 in cancer cells led to the impairment of centrosome and spindle integrity, providing a new platform for novel antitumor drug discovery.
Figure 10

BIOS library inspired by vinblastine and bioactive simplified analogues.

BIOS library inspired by vinblastine and bioactive simplified analogues.

Structural simplification of bioactive small molecules

Structural simplification by reducing the number of rings

Discovery of dabrafenib through structural simplification and optimization

B-RAF, a member of the protein kinase RAF family, plays a central role in the MAPK signaling pathway. The most common mutation, observed in 80%–90% of B-RAF mutant cancers, is the B-RAF V600E mutation, which destroys the kinase activity and then causes cell carcinogenesis86, 87. Therefore, inhibitors of B-RAFV600E kinase activity offer a novel targeted approach for the treatment of B-RAF V600E-driven cancers, particularly melanoma and colon cancer. Compound 53 (Fig. 11A), a B-RAF inhibitor identified by GSK oncology-directed kinase programs, features an imidazopyridine core and a large hydrophobic benzamide headgroup. Although this compound potently inhibits B-RAFV600E (IC50 = 9 nmol/L), it showed poor antiproliferative activity in cell-based assays against the B-RAFV600E SKMEL28 melanoma cell line (EC50 = 5.32 μmol/L, Table 189, 90). Compound 53 has a molecular weight of 605 with a low LE value (0.24). Therefore, modest simplification of compound 53 was required to increase its LE value and improve its cellular activity.
Figure 11

Structural simplification process to discover dabrafenib (A) and the binding mode of dabrafenib with B-RAFV600E (B, PDB code: 4XV2).

Table 1

Enzyme potencies (IC50, nmol/L), cell potencies (EC50, nmol/L) and ligand efficiency (LE) of B-RAF inhibitors.

Compd.B-RAFV600E (IC50)pERK (EC50)SKMEL28 (EC50)LE
539>10,00053160.24
54132991.110.22
5512522870.26
563.67240.24
571.310120.25
580.51180.28
590.37100.28
604078610.29
611311870.26
620.7430.33
Structural simplification process to discover dabrafenib (A) and the binding mode of dabrafenib with B-RAFV600E (B, PDB code: 4XV2). Enzyme potencies (IC50, nmol/L), cell potencies (EC50, nmol/L) and ligand efficiency (LE) of B-RAF inhibitors. The process for lead optimization and simplification is shown in Fig. 11A89, 90. First, headgroup SAR was explored by preparing a set of analogues in which the amide linker was replaced by a series of other groups such as ureas and sulfonamides. Biological assays revealed that sulfonamide-containing analogue 54 showed a substantial improvement in cellular potency. Replacing the imidazopyridine core with a thiazole afforded 2-isopropylthiazole analogue 55, which displayed an increased LE value (0.26). Further replacement of the N-methyl-tetrahydroisoquinoline tail of 55 with an N-acetylpiperazinylpyridine afforded compound 56, which showed substantial improvements in enzyme (IC50 = 3.6 nmol/L) and cellular activity (pERK EC50 = 7 nmol/L, SKMEL28 EC50 = 24 nmol/L, Table 1). However, it had poor metabolic stability, as it was easily metabolized by rat liver microsomes (CL = 20 mL/min/g). Using the headgroup of 53, 2,6-difluorinated analogue 57 showed improved metabolic stability (CL = 7 mL/min/g). Subsequent acetylpiperazine/morpholine replacement had little effect on the cellular potency; however, 58 did present improved activity toward B-RAFV600E (IC50 = 0.5 nmol/L). Pharmacokinetic studies revealed that compound 58 showed good oral availability and clearance in rats, but poor pharmacokinetics were observed in dogs and monkeys. After structural analysis, the MW of compound 58 was 667, which is too large for an oral drug. Therefore, structural simplification involving replacing the pyridinylmorpholine with simpler alkyl groups was performed. For example, ethylmethylsulfone analogue 59 showed excellent B-RAF V600E inhibitory activity (IC50 = 0.3 nmol/L, Table 1). Pharmacokinetic studies revealed that N-dealkylated compound 60 was the major metabolite of 59, but it was less active than the parent compound (IC50 = 40 nmol/L, Table 1). The isopropyl group was replaced with a tert-butyl group in an attempt to further improve the metabolic stability and bioavailability. For example, compound 61 had good in vitro and in vivo activities. Finally, removing the ethylmethylsulfone group of the tail and optimizing the substituents at each site afforded compound 62 (dabrafenib). It displayed excellent inhibitory activity for B-RAFV600E (IC50 = 0.7 nmol/L, Table 1) and had favorable pharmacological, pharmacokinetic and physicochemical properties. Compared to lead compound 53 (MW = 605, LE = 0.24), the MW of dabrafenib was reduced to 519, and the LE value was increased to 0.33 (Table 1). The co-crystal structure of dabrafenib with B-RAFV600E (PDB code: 4XV2) revealed the aminopyrimidine and sulfamide groups of dabrafenib formed several hydrogen bonds with Cys532, Lys483, Phe595 and Asp594 (Fig. 11B). The difluorophenyl and t-butyl groups formed hydrophobic interactions with surrounding hydrophobic residues (Fig. 11B). Dabrafenib, developed by GSK, was approved by the FDA in 2013 for the treatment of unresectable or metastatic malignant melanomas with B-RAF V600E or V600K mutations.

Discovery of tofacitinib through structural simplification and optimization

The Janus tyrosine kinases (JAKs) include four subtypes, JAK1, JAK2, JAK3 and Tyk2. Among them, JAK3 is an important drug target for the treatment of autoimmune diseases, and its inhibitors can regulate or suppress immune function. JAK1 is broadly expressed, and the inhibition of JAK1 is anticipated to play a role in cellular potency either additively or synergistically with JAK3 due to the manner in which these enzymes operate together at the IL-2 receptor. JAK2 plays an essential role in hematopoiesis, including in epo receptor signaling and red blood cell homeostasis, and its inhibitors could lead to undesired effects such as anemia. Therefore, the development of JAK3 inhibitors should improve the inhibitory selectivity for JAK2 and result in good inhibitory activity for JAK1 while at the same time producing a synergistic effect. Researchers at Pfizer performed a high-throughput screening and identified selective JAK3 inhibitor 63 (Fig. 12). It showed good inhibitory activity for JAK3 (IC50 = 210 nmol/L), and it was 45-fold less potent against JAK2 and inactive against JAK1 (IC50 > 10 μmol/L, Table 2)94, 96. A cell-based assay (IL-2-induced proliferation of human T-cell blasts) revealed that compound 63 only moderately inhibited cellular activity (IC50 = 3200 nmol/L), meaning there was substantial room for improvement. In addition, the half-life of compound 63 in human liver microsome (HLM) was short (15 min). Therefore, structural optimizations focused on improving the JAK3 inhibitory activity and selectivity as well as its metabolic stability.
Figure 12

Discovery of tofacitinib through structural simplification and optimization.

Table 2

Biological activities and metabolic stabilities of selected JAK inhibitors.

Compd.JAK3 (nmol/L)JAK2/JAK3JAK1 (nmol/L)Cell IC50 (nmol/L)aHLM t1/2 (min)
6321045>10,000320015
652034018
6712008900
68490
6925014
713.32011040>100
7243580
7312011>120

–Not available.

Determined using an IL-2-induced T-cell blast proliferation assay.

Discovery of tofacitinib through structural simplification and optimization. Biological activities and metabolic stabilities of selected JAK inhibitors. –Not available. Determined using an IL-2-induced T-cell blast proliferation assay. Compound 63 contains five rings, and the first step in structural optimization was to reduce the number of rings and MW, leaving room for subsequent optimization. Flanagan et al. replaced the carbazole group with N-methyl-cycloalkyl groups, and the resulting analogues (64) demonstrated greater potency against JAK1, while the JAK3 inhibitory activity was retained. Moreover, these analogues showed improved whole–cell activity over that of the lead compound (63). For example, N-methyl-cyclohexyl analogue 65 was a highly active JAK3 (IC50 = 20 nmol/L) and T-cell (IC50 = 340 nmol/L) inhibitor, but its metabolic stability was still poor (t1/2 = 18 min, Table 2). Subsequently, natural carvone (66) was used as the chiral source to replace the 2′,5′-dimethyl cyclohexane moiety of compound 65. A kinase assay revealed that compound 69 was the most potent isomer (JAK3 IC50 = 2 nmol/L; cellular IC50 = 50 nmol/L, Table 2). However, the PK profiles, such as its microsomal stability (HLM t1/2 = 14 min), aqueous solubility (1.3 μg/mL) and rat bioavailability (∼7%) of compound 69, were unfavorable. To address this problem, the carvone moiety was replaced with piperidinyl amide groups. After incorporation of a nitrogen atom, the aqueous solubility was significantly improved, and one chiral center was eliminated, which facilitated analogue synthesis (70, Fig. 12). Among the prepared analogues, compound 71 displayed the highest potency (JAK3 IC50 = 3.3 nmol/L; cellular IC50 = 40 nmol/L, t1/2>100 min) and favorable metabolic stability. Further evaluation of its enantiomers revealed that (3R,4R) isomer 73 had an IC50 value of 1 nmol/L against JAK3, making it approximately 40-fold more potent than (3S,4S) isomer 72. In addition, compound 73 had desirable characteristics, including good solubility (>4 mg/mL in water), metabolic stability (HLM t1/2>120 min) and oral bioavailability (78% in dogs). Therefore, compound 73 (tofacitinib) was approved by the FDA in 2012 as the first-in-class oral JAK inhibitor for the treatment of rheumatoid arthritis.

Structural simplification of GlyT1 inhibitors

Recent studies have indicated that selective glycine transport 1 (GlyT1) inhibitors have the potential to alleviate symptoms of schizophrenia97, 98. In their search for novel selective GlyT1 inhibitors, scientists at Roche performed a high-throughput screening and found several hits. Compound 74 (Fig. 13) showed potent inhibitory activity against GlyT1 (EC50 = 154 nmol/L). However, the 5-phenyl-benzodiazepine-2-one scaffold could cause off-target toxicities. Therefore, the potential liability of the benzodiazepine moiety and relatively high MW (506) prompted the design of structurally simpler derivatives. Based on the SAR indicating that the benzodiazepinone moiety was not essential for the GlyT1 inhibitory activity, Jolidon et al. replaced it with a simpler diarylmethylamine scaffold, which also mimicked the key interactions with the target. Simplified analogue 75 (Fig. 13) displayed more potent GlyT1 inhibitory activity (EC50 = 16 nmol/L) than was seen with lead compound 74. Moreover, 73 showed excellent metabolic stability.
Figure 13

Structural simplification of GlyT1 inhibitors.

Structural simplification of GlyT1 inhibitors.

Structural simplification of CGRP receptor antagonists

Calcitonin gene-related peptide (CGRP) exhibits potent vasodilation activity and is involved in the pathogenesis of migraine. Recent studies revealed that CGRP antagonists could be efficacious and well tolerated in the migraine treatment101, 102. Two small-molecule CGRP receptor antagonists, olcegepant and telcagepant, effectively normalized circulating CGRP levels with concomitant pain relief101, 103. Bell et al. reported a novel class of CGRP inhibitors with high potency (76, Ki = 0.13 nmol/L, Fig. 14) and good pharmacokinetics. However, synthetic difficulties associated with the structural complexity of compound 76 hampered the rapid exploration of SAR. To discover novel CGRP receptor antagonists, Selnick et al. performed a systematic step-by-step simplification of 76. First, the pyridine substructure of 76 was replaced by an amide, which had little impact on the binding affinity, while greatly simplifying the synthetic route as a straightforward amide coupling could then be used. The replacement of the azaoxindole group in 76 by hydantoin (compound 77) decreased the binding affinity by approximately 10-fold but allowed the use of more readily available starting materials. Deletion of the 6-membered lactam in 76 simplified the tricyclic structure to a bicyclic structure. Further scission of the remaining 5-membered lactam afforded compounds 78 and 79, which facilitated additional modifications. Compound 79, which possessed a benzyl group (n = 1), displayed more potent CGRP binding affinity (Ki = 10 nmol/L) than compound 78 (Ki = 140 nmol/L). The hydroxyl group of 79 was then removed, and S-isomer 80 displayed an improved CGRP binding affinity (Ki = 1.9 nmol/L). However, analogue 80 also showed a submicromolar binding affinity to the closely related adrenomedullin-2 receptor (AM2, Ki = 720 nmol/L), which could cause off-target toxicities. Therefore, further modifications were focused on improving the enzymatic selectivity. By optimizing the substituents at the benzylic position and on the benzyl group of 80, analogue 81, with a 3,5-difluorophenyl substituent, displayed the best CGRP inhibitory activity (Ki = 0.26 nmol/L) and enzymatic selectivity (AM2 Ki = 1400 nmol/L, SIAM2/CGRP>5000). Straightforward application of Ellman sulfinimide synthetic methodologies afforded lactams 82 (Ki = 0.23 nmol/L) and 83 (Ki = 0.48 nmol/L), and their CGRP antagonistic activities revealed that the methyl group at the benzylic position was not beneficial to the binding affinity. Starting from 82, the azaoxindole group of 76 was reintroduced to afford analogue 84, which displayed the best CGRP inhibitory activity (Ki = 0.035 nmol/L) and excellent selectivity (SIAM2/CGRP = 4600). Compared with lead compound 76, simplified analogue 84 is easier to synthesize and possesses improved potency.
Figure 14

Structural simplification of CGRP receptor antagonists.

Structural simplification of CGRP receptor antagonists.

Structural simplification of nootropic agents

4-Substituted 1,4-diazabicyclo[4.3.0]nonan-9-ones are extremely potent nootropic agents according to a mouse passive avoidance test. The most active derivative, DM232 (85, Fig. 15), prevented amnesia at doses as low as 0.001 mg/kg sc. Gualtieri et al. simplified the structure of DM232 via the scission of the 5-membered lactam ring to afford 4-substituted 1-acylpiperazines (86). The simplified analogues maintained the high nootropic activity of the parent compound, indicating that an N-acylpiperazine group could mimic the 2-pyrrolidinone ring of DM232. An in vivo mouse passive avoidance test revealed that DM235 (87, Fig. 15) displayed comparable potency (active at a dose of 0.001 mg/kg, sc) to that of lead compound DM232.
Figure 15

Structural simplification of nootropic agents.

Structural simplification of nootropic agents.

Structural simplification of hA3 AR antagonist

Human A3 adenosine receptor (hA3 AR) is a member of the G-protein-coupled receptor (GPCR) family that is involved in modulating various physiopathological conditions. Selective hA3 AR antagonists were found to be beneficial in treating inflammatory, asthmatic and ischemic conditions. Moreover, the A3 receptor is overexpressed in several tumor cell lines, making it a potential target for cancer therapy. Tricyclic 2-aryl-1,2,4-triazolo[4,3-a]quinoxalin-1-one derivatives, either 4-amino- or 4-oxo-substituted derivatives (represented by 88 and 91, Fig. 16), displayed high affinities and selectivities for hA3 AR. To shorten the synthetic route and improve the pharmacokinetic profile, Moro et al. performed structural simplification studies to afford synthetically more tractable 2-amino/2-oxoquinazoline-4-carboxamido analogues. For example, starting from tricyclic compound 88, 2-oxoquinazoline-4-carboxamido analogues 89 were obtained via opening the C ring. Their planar conformations were similar to that of compound 88 because of the presence of an intramolecular hydrogen bond. Among these analogues, 90 displayed a binding affinity toward hA3 AR (Ki = 19.5 nmol/L) comparable to that of lead compound 88 (Ki = 16 nmol/L). Notably, these simplified analogues displayed significantly enhanced solubility compared to their tricyclic parent compound. However, further removing the planar aromatic ring (A ring) afforded 2-aminopyrimidine-4-carboxyamides (92), which were completely inactive toward hA3 AR.
Figure 16

Structural simplification of hA3 AR antagonist.

Structural simplification of hA3 AR antagonist. Moro and coworkers identified the 2-phenylphthalazin-1(2H)-one ring system (such as that in 93) as a simplified scaffold for the design of novel hA3 AR antagonists. Among the prepared analogues, 94 was a highly potent and selective hA3 AR antagonist (Ki = 0.776 nmol/L; hA1/hA3 and hA2A/hA3>12,000). The same group also used a scaffold simplification strategy to improve the selectivity of the pyrazolo-[3,4-c]quinolin-4-one hA3 AR antagonists (95). After removing the A ring, the 2-arylpyrazolo[4,3-d]pyrimidin-7-one analogues (96) displayed high hA3 AR affinities in the low nanomolar range (Ki range: 1.2–72 nmol/L). Among these compounds, 97 displayed the best hA3 AR affinity with a Ki value of 1.2 nmol/L, and it was completely inactive toward hA1, hA2A, and hA2B ARs. Pastorin et al. reported that pyrazolo-triazolo-pyrimidine derivative 98 is a potent and highly selective hA3 AR antagonist (hA3 AR Ki = 0.108 nmol/L; hA1/hA3 = 5200; hA2A/hA3 = 7200). However, the tricyclic compound has a high molecular weight and a complex scaffold, leading to unfavorable drug-like properties, such as poor aqueous solubility and synthetic difficulty. To address these drawbacks, the same group simplified the tricyclic scaffold by removing the A ring to afford novel bicyclic pyrazolo[3,4-d]pyrimidine derivatives (99). However, compound 100 (Ki = 0.9 μmol/L) showed lower affinity than its parent compound. Nonetheless, the authors considered it a good starting point for developing more potent hA3 AR antagonists.

Structural simplification of cruzain inhibitors

Cruzain is the major cysteine protease of Trypanosoma cruzi, which is an attractive target for antiparasitic agents due to its essential functions in parasites. Through a combination of docking studies and high-throughput screening, Shoichet et al. identified indole-pyrimidine 101, which showed good cruzain inhibitory activity (Ki = 2.0 μmol/L; IC50 = 2.5 μmol/L) and represents a promising lead structure for the development of antiparasitic agents. Oliveira et al. simplified the scaffold of compound 101 (Fig. 17) by using mono- or bicyclic heterocycles such as quinoline (102), indole (103), aniline (104), pyrrole (105) and pyrimidine (106). A biological assay revealed that compound 107 displayed the best cruzain inhibitory activity (IC50 = 15 μmol/L) with moderate cellular potency against T. cruzi (IC50 = 67.7 μmol/L). Although further simplified pyrimidine derivative 108 showed improved activity against T. cruzi (IC50 = 3.1 μmol/L) with excellent selectivity (SI = 128), it was completely inactive against cruzain, indicating that it might have a different mechanism of action.
Figure 17

Structural simplification of cruzain inhibitors.

Structural simplification of cruzain inhibitors.

Structural simplification by reducing the number of chiral centers

Structural simplification of CDC7 kinase inhibitors

CDC7 kinase is an essential protein that promotes DNA replication in eukaryotic organisms. Inhibition of CDC7 causes selective tumor-cell death in a p53-independent manner, suggesting small-molecule CDC7 inhibitors could be developed as anticancer agents116, 117. A series of pyrrolopyridinone derivatives, represented by compound 109 (Fig. 18), were shown to be potent and selective CDC7 kinase inhibitors. The co-crystal structure of compound 109 with CDC7 kinase (PDB code: 4F9B) revealed the pyridine and lactam moieties of 109 formed three hydrogen bonds with residues Leu137, Lys90 and Asp196 (Fig. 18B). Further SAR studies led to the discovery of compound 110, which showed excellent CDC7 inhibitory activity (IC50 = 0.002 μmol/L) and acceptable selectivity against a panel of unrelated kinases. Moreover, it displayed good potency in a cell proliferation assay (A2780 ovarian carcinoma, IC50 = 0.5 μmol/L). Similar to compound 109, molecular docking simulation revealed that compound 110 formed hydrogen bonding interaction with residues Leu137, Lys90 and Asp196 (Fig. 18C). Moreover, the aminopyrimidine group formed an additional hydrogen bond with Pro135 (Fig. 18C). However, further evaluations indicated that compound 110 had unfavorable pharmacokinetic behavior in animal species (e.g., rapid clearance from plasma). To improve the PK properties, Menichincheri et al. simplified the scaffold by opening the lactam ring to afford 5-heteroaryl-3-carboxamido-2-substituted pyrrole derivatives. In addition, the elimination of the stereogenic center also facilitated chemical synthesis and SAR investigations. Representative analogue 111 (Fig. 18) displayed excellent inhibitory activity against CDC7 (IC50 = 0.009 μmol/L); however, it was only moderately active in an A2780 cellular assay (IC50 = 2.0 μmol/L). Further modifications were focused on the replacement of ring A and central core B with various heterocycles (112). Several of the resulting analogues displayed good CDC7 kinase inhibitory activities, in vitro antiproliferative activities and favorable PK properties. In particular, compound 113 was orally active and displayed excellent in vivo antitumor potency against A2780 ovarian carcinoma (tumor growth inhibition, TGI>90%), HCT-116 (TGI = 68%) and COLO-205 (max TGI = 41%) colorectal cancer xenograft models. Similar to compound 110, compound 113 also formed several hydrogen bonds with Leu137, Lys90, Asp196 and Pro135 (Fig. 18D).
Figure 18

Structural simplification of CDC7 kinase inhibitors (A) and the binding modes of compounds 109 (B, PDB code: 4F9B), 110 (C) and 113 (D) with CDC7 kinase.

Structural simplification of CDC7 kinase inhibitors (A) and the binding modes of compounds 109 (B, PDB code: 4F9B), 110 (C) and 113 (D) with CDC7 kinase.

Structural simplification of ATP synthase inhibitors

In 2012, bedaquiline (114, Fig. 19), which blocks the proton pump for ATP synthase of mycobacteria, was approved for the treatment of multidrug-resistant tuberculosis (MDR-TB)122, 123. However, bedaquiline has two adjacent chiral centers, making its chemical synthesis laborious and costly. Therefore, reducing the structural complexity of bedaquiline while retaining its potent antitubercular activity is of great importance. Yin et al. systematically simplified the structure of bedaquiline by removing the two adjacent chiral centers, which greatly streamlined the synthetic process. Analogue 115 displayed potent in vitro antitubercular activities against both the drug-sensitive mycobacterium tuberculosis (M. tuberculosis) strain H37Rv (MIC = 0.43 μg/mL) and drug-resistant strain 12153 (MIC = 0.48 μg/mL).
Figure 19

Structural simplification of ATP synthase inhibitors and binding mode of bedaquiline with mycobacterial ATP synthase rotor ring (PDB code: 4V1F).

Structural simplification of ATP synthase inhibitors and binding mode of bedaquiline with mycobacterial ATP synthase rotor ring (PDB code: 4V1F).

Structural simplification of LeuRS-targeted mTORC1 inhibitors

Recent studies indicated that leucyl-tRNA synthetase (LeuRS) may act as a leucine sensor for the mammalian target of rapamycin complex 1 (mTORC1) pathway, potentially providing an alternative strategy for overcoming rapamycin resistance in cancer treatments125, 126. In 2016, Lee et al. reported leucyladenylate sulfamate derivative 116 as a novel LeuRS-targeted mTORC1 inhibitor (Fig. 20). Compound 116 selectively inhibited LeuRS-mediated mTORC1 activation and exerted specific cytotoxicity against colon cancer cells with hyperactive mTORC1. However, its high polarity hindered further preclinical development as it resulted in synthetic difficulties and poor bioavailability. To resolve these obstacles, Lee et al. performed further structural simplifications by replacing the adenylate group of leucyladenylate sulfamate with an N-(3,4-dimethoxybenzyl) benzenesulfonamide group (red part, Fig. 20). Simplified analogues 117, which were less polar and had fewer asymmetric centers, had more favorable physicochemical properties. Biological assays revealed that 3,4-dimethoxybenzyl analogues 117 generally showed good activities. For example, compound 118 and its constrained analogue 119 demonstrated micromolar inhibitory activities against six types of cancer cells (Table 3,), and their activities were comparable to those of lead compound 116. They effectively inhibited S6K phosphorylation in a dose-dependent manner without affecting the catalytic leucylation activity of LeuRS.
Figure 20

Structural simplification of LeuRS-targeted mTORC1 inhibitors.

Table 3

In vitro antitumor activity of simplified LeuRS-targeted mTORC1 inhibitors (IC50, μmol/L).a

Compd.A549HCT116K562MDA-MB-231SK-HEP-1SNU638MRC5
1161.750.541.0612.65.635.7>50
1185.293.964.485.443.076.26>20
1195.544.282.865.652.445.22>20
Etoposide0.301.060.761.530.631.0511.73

A549, lung cancer cells; HCT116, colon cancer cells; K562, leukemia cells; MDA-MB-231, breast cancer cells; SK-Hep-1, liver cancer cells; SNU638, stomach cancer cells; MRC5, lung normal epithelial cells.

Structural simplification of LeuRS-targeted mTORC1 inhibitors. In vitro antitumor activity of simplified LeuRS-targeted mTORC1 inhibitors (IC50, μmol/L).a A549, lung cancer cells; HCT116, colon cancer cells; K562, leukemia cells; MDA-MB-231, breast cancer cells; SK-Hep-1, liver cancer cells; SNU638, stomach cancer cells; MRC5, lung normal epithelial cells.

Structural simplification by structure-based design

Structural simplification of aminoacyl-tRNA synthetases inhibitors

Aminoacyl-tRNA synthetases (aaRSs) are a class of enzymes that have been validated as antimicrobial targets129, 130, 131, 132. Most aaRS inhibitors are targeted at their synthetic active site by mimicking the endogenous substrate aminoacyl-AMP (aa-AMP) or its stable analogue aminoacylsulfa-moyladenosine (aa-AMS). Although potent inhibitors have been discovered, they generally lack both selectivity and antibacterial potency. To address these issues, Teng et al. designed and synthesized threonyl-tRNA synthetase (ThrRS) inhibitors by structure-based design (Fig. 21). The co–crystal structure of Thr-AMS (120) with Escherichia coli ThrRS (PDB code: 1KOG) revealed the adenine and acylsulfonamide moieties of Thr-AMS formed a tight hydrogen bonding network with surrounding residues including Val376, Glu365, Arg363, Gln381 and Gln484 (Fig. 21B). Moreover, the amino‒alcohol groups chelated the Zn2+ in the active site of E. coli ThrRS (Fig. 21B). First, they simplified Thr-AMS by replacing the polar adenosine moiety with a 4-phenoxyphenyl moiety while retaining the acylsulfonamide moiety (121). These changes resulted in a loss of potency due to the absence of the hydrogen bonding network involving adenosine (Fig. 21C). To restore the hydrogen bonding interactions, the distal phenoxyl group was replaced with heterocyclic fragments, such as quinazoline, isoquinoline, aminopyrimidine and pyrrolopyrimidine. Several analogues displayed selective inhibitory activities against E. coli ThrRS and moderate antibacterial activity against H. influenzae at nanomolar concentrations. Among the indazole derivatives, 122 displayed the best E. coli and human ThrRS selectivity radio (E. coli ThrRS Ki = 0.18 μmol/L, human ThrRS Ki>50 μmol/L). The co-crystal structure of compound 122 with E. coli ThrRS (PDB code: 4HWR) revealed the indazole moiety formed two hydrogen bonds with residue Val376. Similar to Thr-AMS, the acylsulfonamide side chain of compound 122 chelated the Zn2+ in the active site and formed a hydrogen bonding network with surrounding residues including Lys465, Arg363, Gln381 and Gln484 (Fig. 21D).
Figure 21

Structural simplification of ThrRS inhibitors (A) and binding modes of 120 (B, PDB code: 1KOG), 121 (C) and 122 (D, PDB code: 4HWR) with E. coli ThrRS.

Structural simplification of ThrRS inhibitors (A) and binding modes of 120 (B, PDB code: 1KOG), 121 (C) and 122 (D, PDB code: 4HWR) with E. coli ThrRS. Starting from Leu-AMS (123), Zhou et al. reported the discovery of N-(4-sulfamoylphenyl)thioureas as a new class of Trypanosoma brucei LeuRS (TbLeuRS) inhibitors (Fig. 22). Guided by molecular docking, simplified analogue 124 displayed good inhibitory activity against TbLeuRS (IC50 = 1.1 μmol/L), but its selectivity was poor (human cytoplasmic LeuRS IC50 = 4.9 μmol/L). In 2018, Finn et al. further simplified the scaffold (Fig. 22). Through analyzing the interaction between the inhibitors and the ATP binding site (Fig. 22B), benzenesulfonamide inhibitors were designed. The simplest analogue (125) was found to exhibit the best binding affinity against E. coli LeuRS with a Kd value of 1.3 nmol/L. The antibacterial assay indicated that compound 125 showed moderate antibacterial activity against the E. coli ATCC 25922 strain (MIC = 8 μg/mL). Molecular docking simulation revealed that the amino and sulfamide groups of compound 125 formed three hydrogen bonds with residues Gln566, Met40 and Leu41 (Fig. 22C).
Figure 22

Structural simplification of LeuRS inhibitors (A) and binding modes of 123 (B, PDB code: 5ONH), 125 (C) with E. coli LeuRS.

Structural simplification of LeuRS inhibitors (A) and binding modes of 123 (B, PDB code: 5ONH), 125 (C) with E. coli LeuRS.

Structural simplification by pharmacophore-based design

Structural simplification of SST1 receptor antagonists

The somatostatin SST1 receptors, members of the GPCR superfamily, act as inhibitory autoreceptors on somatostatin neurons in the hypothalamus, basal ganglia, retina and possibly hippocampus. SST1 antagonists promote social interactions, reduce aggressive behavior and stimulate learning in rodents. Through a systematic SAR study, obeline derivatives (126, Fig. 23) and ergoline (127, Fig. 23) were identified as highly potent and selective inhibitors of the SST1 receptor (Kd = 0.71 and 0.20 nmol/L, respectively). However, these compounds were difficult to synthesize and had poor pharmacokinetic properties. Through structural analysis, Troxler et al. proposed that these ligands shared a common pharmacophore schematically represented by 128 (Fig. 23). Structural simplification was conducted based on this pharmacophore, and the chiral moiety was replaced with an achiral dibenzosuberane to afford analogue 129, which retained the high SST1 affinity (Kd = 18.2 nmol/L) and selectivity over SST2 (SI > 100) that was present in the parent compound. Further investigation was focused on the optimization of the tricyclic dibenzosuberane moiety, which led to the identification of novel, highly potent and selective SST1 receptor antagonists. Analogues 130 and 131 displayed the best SST1 receptor antagonistic activities with Kd values of 0.52 and 0.78 nmol/L, respectively. Moreover, these achiral analogues displayed favorable pharmacokinetic properties, namely, good oral absorption and metabolic stability, in rodents. In addition to good binding affinities, selectivities and PK profiles, these simplified analogues had better synthetic accessibility than the lead compounds and can be easily synthesized on a large scale.
Figure 23

Structural simplification of SST1 receptor antagonists.

Structural simplification of SST1 receptor antagonists. Based on the binding mode of bedaquiline with ATP synthase (PDB code: 4V1F), Saxena et al. identified three important structural features in bedaquiline (Fig. 24), namely, the quinolone (132), tertiary amine (133) and hydroxyl fragments (134). Database searching and structure-based hit optimization led to compound 136 (Fig. 24), which displayed potent in vitro antituberculosis efficacy. Moreover, it had good selectivity and favorable pharmacokinetic properties, such as quick absorption and distribution and slow elimination. Although compound 136 was not directly compared with bedaquiline, it has a relatively simpler structure and better synthetic accessibility and represents a promising preclinical candidate under further evaluations.
Figure 24

Structural simplification of bedaquiline.

Structural simplification of bedaquiline.

Conclusions and perspectives

Avoiding “molecular obesity” can improve the success rate of drug development. The design of “low-fat” drug-like molecules by structural simplification represents an effective strategy in lead optimization of both NPs and bioactive small molecules. Historically, structural simplification was initially applied in drug development to improve the synthetic accessibility and drug-likeness of complex NPs and successfully resulted in several marketed drugs. Recently, extremely complex NPs (e.g., marine NPs) with highly potent biological activities have been identified, offering challenging targets for structural simplification. Thus, the development of efficient synthetic and computational approaches for simplification design is highly desirable. For example, Scaffold Hunter and BIOS provide efficient tools for the computational analysis of complex structures and bioactivity data and for identifying simplified scaffolds with the desired activity by rational fragmentation. Such new technologies will improve the efficiency of structural simplification. Based on the numerous case studies described above, several guidelines can be summarized to guide future structural simplification studies. The first challenge is defining what constitutes a successful structural simplification study. Pharmacological activity is important but it is not the only criterion for evaluating the success of a simplified design. The identification of less complex molecules with comparable (or even with increased) biological activity is indeed the main goal for structural simplification. However, in some cases, the activity of the simplified compounds may be decreased, particularly at the molecular or cellular level. The value of simplification should be validated by more biological models, especially in vivo models, although most simplified analogues have not been fully assayed. Moreover, multiple rounds of optimization are often required to improve the activity. Thus, the success of structural simplification should be defined based on whether the simplified compounds have addressed the drawbacks of the original lead compounds. The most important purpose of simplification is to improve the drug-likeness of lead compounds. Therefore, the balance among synthetic feasibility, in vitro and in vivo potency, physicochemical properties, and pharmacokinetic profiles should be considered. Moreover, structural simplification aims to design lead compounds or drug candidates with reduced synthetic difficulty, which will facilitate the development of synthetic process in the pharmaceutical industry. Second, during the simplification process, the biological activity and binding targets might change as the structure of the compound changes. Thus, moderate structural simplifications may be most appropriate. Finally, it is important to understand the scope of structural simplification, and not all bioactive compounds can be simplified. For some types of drug targets, the molecular complexity of the ligands is necessary to form unique and specific interactions, and the structural simplification of these molecules may be quite challenging. The construction of pharmacophore model is important to improve the efficiency of structural simplification design. Taken together, with the development of new design approaches and the increasing number of medicinal chemistry efforts devoted to this important area, structural simplification will play an important role in improving the efficiency and success rate of new drug development.
  125 in total

1.  Natural product-inspired cascade synthesis yields modulators of centrosome integrity.

Authors:  Heiko Dückert; Verena Pries; Vivek Khedkar; Sascha Menninger; Hanna Bruss; Alexander W Bird; Zoltan Maliga; Andreas Brockmeyer; Petra Janning; Anthony Hyman; Stefan Grimme; Markus Schürmann; Hans Preut; Katja Hübel; Slava Ziegler; Kamal Kumar; Herbert Waldmann
Journal:  Nat Chem Biol       Date:  2011-12-25       Impact factor: 15.040

Review 2.  Clinical and preclinical rationale for CGRP-receptor antagonists in the treatment of migraine.

Authors:  Stewart J Tepper; Mark J Stillman
Journal:  Headache       Date:  2008-09       Impact factor: 5.887

3.  Development of potent B-RafV600E inhibitors containing an arylsulfonamide headgroup.

Authors:  John C Stellwagen; George M Adjabeng; Marc R Arnone; Scott H Dickerson; Chao Han; Keith R Hornberger; Alastair J King; Robert A Mook; Kimberly G Petrov; Tara R Rheault; Cynthia M Rominger; Olivia W Rossanese; Kimberly N Smitheman; Alex G Waterson; David E Uehling
Journal:  Bioorg Med Chem Lett       Date:  2011-06-16       Impact factor: 2.823

4.  Natural-product-derived fragments for fragment-based ligand discovery.

Authors:  Björn Over; Stefan Wetzel; Christian Grütter; Yasushi Nakai; Steffen Renner; Daniel Rauh; Herbert Waldmann
Journal:  Nat Chem       Date:  2012-12-02       Impact factor: 24.427

5.  Discovery of Janus Kinase 2 (JAK2) and Histone Deacetylase (HDAC) Dual Inhibitors as a Novel Strategy for the Combinational Treatment of Leukemia and Invasive Fungal Infections.

Authors:  Yahui Huang; Guoqiang Dong; Huanqiu Li; Na Liu; Wannian Zhang; Chunquan Sheng
Journal:  J Med Chem       Date:  2018-07-14       Impact factor: 7.446

Review 6.  Butorphanol: effects of a prototypical agonist-antagonist analgesic on kappa-opioid receptors.

Authors:  Stephen Commiskey; Lir-Wan Fan; Ing K Ho; Rob W Rockhold
Journal:  J Pharmacol Sci       Date:  2005-06-08       Impact factor: 3.337

Review 7.  New anti-mitotic drugs with distinct anti-calmodulin activity.

Authors:  F Orosz; I Horváth; J Ovádi
Journal:  Mini Rev Med Chem       Date:  2006-10       Impact factor: 3.862

8.  SRA880, in vitro characterization of the first non-peptide somatostatin sst(1) receptor antagonist.

Authors:  D Hoyer; C Nunn; J Hannon; P Schoeffter; D Feuerbach; E Schuepbach; D Langenegger; R Bouhelal; K Hurth; P Neumann; T Troxler; P Pfaeffli
Journal:  Neurosci Lett       Date:  2004-05-06       Impact factor: 3.046

9.  Efficacy and tolerability of MK-0974 (telcagepant), a new oral antagonist of calcitonin gene-related peptide receptor, compared with zolmitriptan for acute migraine: a randomised, placebo-controlled, parallel-treatment trial.

Authors:  Tony W Ho; Michel D Ferrari; David W Dodick; Vince Galet; James Kost; Xiaoyin Fan; Heather Leibensperger; Samar Froman; Christopher Assaid; Christopher Lines; Hille Koppen; Paul K Winner
Journal:  Lancet       Date:  2008-11-25       Impact factor: 79.321

10.  Discovery of N-(4-sulfamoylphenyl)thioureas as Trypanosoma brucei leucyl-tRNA synthetase inhibitors.

Authors:  Fenglong Zhang; Jin Du; Qing Wang; Qinghua Hu; Jiong Zhang; Dazhong Ding; Yaxue Zhao; Fei Yang; Enduo Wang; Huchen Zhou
Journal:  Org Biomol Chem       Date:  2013-08-28       Impact factor: 3.876

View more
  9 in total

1.  In Silico Screening of Bioactive Compounds of Representative Seaweeds to Inhibit SARS-CoV-2 ACE2-Bound Omicron B.1.1.529 Spike Protein Trimer.

Authors:  Muruganantham Bharathi; Bhagavathi Sundaram Sivamaruthi; Periyanaina Kesika; Subramanian Thangaleela; Chaiyavat Chaiyasut
Journal:  Mar Drugs       Date:  2022-02-17       Impact factor: 5.118

2.  Improving the odds of success in antitumoral drug development using scoring approaches towards heterocyclic scaffolds.

Authors:  George Nicolae Daniel Ion; Octavian Tudorel Olaru; Georgiana Nitulescu; Iulia Ioana Olaru; Aristidis Tsatsakis; Tatiana I Burykina; Demetrios A Spandidos; George Mihai Nitulescu
Journal:  Oncol Rep       Date:  2020-06-05       Impact factor: 3.906

Review 3.  Theory and applications of differential scanning fluorimetry in early-stage drug discovery.

Authors:  Kai Gao; Rick Oerlemans; Matthew R Groves
Journal:  Biophys Rev       Date:  2020-01-31

4.  Protocol Optimization for the Production of the Non-Cytotoxic JΔNI5 HSV Vector Deficient in Expression of Immediately Early Genes.

Authors:  Seiji Kuroda; Yoshitaka Miyagawa; Yuriko Sato; Motoko Yamamoto; Kumi Adachi; Hiromi Kinoh; William F Goins; Justus B Cohen; Joseph C Glorioso; Nobuhiko Taniai; Hiroshi Yoshida; Takashi Okada
Journal:  Mol Ther Methods Clin Dev       Date:  2020-03-17       Impact factor: 6.698

5.  Human defensin-inspired discovery of peptidomimetic antibiotics.

Authors:  Gan Luo; Jue Zhang; HanBin Wang; YaQi Sun; BaoLi Cheng; ZhiPeng Xu; Yan Zhang; Hui Li; WuYuan Lu; Elizabeta Nemeth; Tomas Ganz; XiangMing Fang
Journal:  Proc Natl Acad Sci U S A       Date:  2022-03-01       Impact factor: 12.779

6.  Drug-like Properties and Fraction Lipophilicity Index as a combined metric.

Authors:  Anna Tsantili-Kakoulidou; Vassilis J Demopoulos
Journal:  ADMET DMPK       Date:  2021-10-10

Review 7.  Cardioprotective Role of Melatonin in Acute Myocardial Infarction.

Authors:  Zhenhong Fu; Yang Jiao; Jihang Wang; Ying Zhang; Mingzhi Shen; Russel J Reiter; Qing Xi; Yundai Chen
Journal:  Front Physiol       Date:  2020-04-29       Impact factor: 4.566

8.  Synthesis and Cytotoxicity Evaluation of Spirocyclic Bromotyrosine Clavatadine C Analogs.

Authors:  Piyush A Patel; Tanja Bruun; Polina Ilina; Heidi Mäkkylä; Antti Lempinen; Jari Yli-Kauhaluoma; Päivi Tammela; Paula S Kiuru
Journal:  Mar Drugs       Date:  2021-07-20       Impact factor: 5.118

9.  Synthesis and Biological Evaluation of Dantrolene-Like Hydrazide and Hydrazone Analogues as Multitarget Agents for Neurodegenerative Diseases.

Authors:  Isabella Bolognino; Nicola Giangregorio; Annamaria Tonazzi; Antón L Martínez; Cosimo D Altomare; María I Loza; Sara Sablone; Saverio Cellamare; Marco Catto
Journal:  ChemMedChem       Date:  2021-06-22       Impact factor: 3.466

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.