Literature DB >> 32617527

Whole Genome Analysis and Targeted Drug Discovery Using Computational Methods and High Throughput Screening Tools for Emerged Novel Coronavirus (2019-nCoV).

Hemanth Kumar Manikyam1, Sunil K Joshi2.   

Abstract

A novel coronavirus designated as SARS-CoV-2 in February 2020 by World Health organization (WHO) was identified as main cause of SARS like pneumonia cases in Wuhan city in Hubei Province of China at the end of 2019. This been recently declared as Global Pandemic by WHO. There is a global emergency to identify potential drugs to treat the SARS-CoV-2. Currently, there is no specific treatment against the new virus. There is a urgency to identifying potential antiviral agents to combat the disease is urgently needed. An effective and quick approach is to test existing antiviral drugs against. Whole genome analysis and alignment carried out using BLASTn, SMART BLAST and WebDSV 2.0 had shown more than 238 ORF's coding for proteins mostly origin from Bat SARS coronavirus and root genomic origin from Archaea. Molecular docking results against protein targets Furin, papain like proteases, RdRp and Spike glycoprotein had shown paritaprevir, ritonavir, entecavir and chloroquine derivatives are the best drugs to inhibit multi targets of coronavirus infection including natural compounds corosolic acid, baicalin and glycyrrhizic acid with minimal inhibitory concentrations. Thus we propose use of paritaprevir, entecavir, ritonavir and chloroquine derivatives as best drug combination along with niacinamide, folic acid and zinc supplements to treat novel coronavirus infection. We also propose use of plant protease inhibitors (PI's) and Anti-IL8, IL-6, IL-2 as future drug models against coronavirus.

Entities:  

Keywords:  Antiviral drugs; BLASTn; Coronavirus; Docking tools; Ligands; Polymerase inhibitors; Protease inhibitors; SARS-CoV-2; SMART BLAST and WebDSV 2.0

Year:  2020        PMID: 32617527      PMCID: PMC7331973     

Source DB:  PubMed          Journal:  J Pharm Drug Res        ISSN: 2640-6152


INTRODUCTION

A novel coronavirus designated as SARS-CoV-2 in February 2020 by World Health organization (WHO) was identified as main cause of SARS like pneumonia cases in Wuhan city in Hubei Province of China at the end of 2019. This been recently declared as Global Pandemic by WHO. There is a global emergency to identify potential drugs to treat the SARS-CoV-2. Currently, there is no specific treatment against the new virus. There is a urgency to identifying potential antiviral agents to combat the disease is urgently needed. An effective and quick approach is to test existing antiviral drugs against SARS-CoV-2. Spike protein recognize and bind host receptors like ACE-2 and whose conformational changes facilitates fusion of viral envelop and host membrane leading viral entry into host cells. Replication of viral RNA occurs through RNA polymerase activity by n unique mechanism. Targeting protease like Spike protein for viral entry and polymerase for replication of virus in host cell can bring effective treatment against novel SARS-CoV-2. Coronavirus are enveloped with a positive RNA genome. Coronaviridae family of the order Nidovirales, having four genera (α, β, γ and δ). sThe SARS-CoV-2 seems be β genus and probable origin from bat and suspected to have an intermittent host. Structurally coronavirus contain spike (S) protein, envelope (E) protein, membrane (M) protein and nucleocapsid (N) protein. Viral entry through host receptor attachment promoted by spike protein leading to viral fusion to cell membrane of the host and leading to infection. Incubation period may range from 7 days to 21 days with flu like symptoms or sometimes go asymptomatic. Spike protein determines the viral entry and infection. Antiviral therapies targeting human immune system and direct coronavirus are the primary methods of treating the viral infection. Innate immunity of human immune system plays important role as primary defence mechanism against coronavirus infection and its replication. Interferon plays key role in controlling viral replication and immune presentation of viral antigens and to enhance immune responses. Viral entry and replication require human cell signal pathways, by blocking such signal pathways can bring anti-viral effect. Previously known coronavirus infections SARS and MERS causing virus used angiotensin converting enzyme 2 (ACE2) and DPP4 human receptors of human cells independently. Targeting RNA-dependent RNA polymerase (RdRP) of coronavirus is second line of treatment itself include preventing the synthesis of viral RNA through acting on the genetic material of the virus inhibiting virus replication. Activation of the viral spike protein (S) by host cell proteases is essential for viral host cell attachment and entry and the responsible enzymes are potential therapeutic targets. The cellular proteases like furin, cathepsin and receptors like C-type lectins are Ca++-dependent glycan-binding proteins (GBPs) a functional receptor-mediated endocytosis in Golgi bodies plays important role viral infection, replication and maturation as shown in (Figure 1).
Figure 1.

SARS-CoV-2 proposed viral proteins and human cell proteins aiding virus host cell entry and replication.

Different strategies for developing drugs and treatment against SARS-CoV-2 include viral protein inhibitors and human cell receptor inhibitors to be studied extensively. Some interferon inhibition like ribavirin and cyclophilin were studied to treat coronavirus pneumonia. Interferon inhibition alone cannot treat the SARS-CoV-2, multi target therapy to be considered as effective way of treating which includes inhibition of receptor proteases like furins, viral proteins like spike (S) and Nsp12, a coronavirus, is an RNA-dependent RNA polymerase (RdRp) protein vital enzyme for coronavirus replication/transcription complex, which can inhibit both viral host cell entry and replication. As designing of novel molecules at present is time consuming and no present therapies existing to treat SARS-CoV-2, we propose use of existing antiviral and other drugs to treat the coronavirus infection. High-throughput screening, bioinformatics and AI based tools and methods to screen existing drug database is the fastest approach to discover drug leads against SARS-CoV-2 for example anti-retro viral drugs like Lopinavir and Ritonavir. After determining the efficacy, the drugs can be approved through proper hospital based clinical trials for clinical treatment of patients. Viral encoding proteins and human cell proteins aiding viral host cell entry and replication were analysed by bioinformatics tools like Molecular docking and Swiss Dock protocols by conducting homology modelling and ligand preparations. SARS-CoV-2 Viral papain like protease, main protease, spike and RNA-dependent RNApolymerase (RdRp) and human furin human ACE2 and type-II transmembrane serine protease proteins were extensively used for targeted drug discovery. Virtual screening of proposed protein targets was docked against anti-HIV and anti-Hepatitis drugs were selected as ligands from drug database including some natural phytochemicals known for antiviral properties. The present study predicts wide range of drug leads that may inhibit this study predicts a variety of compounds that may inhibit novel SARS-CoV-2 coronavirus. Validation of successful drug leads should be studies for complete efficacy using proper in-vitro and in-vivo methods further to continue clinical studies.

METHODS

Methods & materials

Homology genome blast and genomes information

Whole genome of SARS-CoV-2 was obtained from NBCO Nucleotide database with reference number NC_045512.2. The nucleotide sequences were aligned using BLASTn sequence aligner and similarity search analysis with SARS-CoV-2 viral genomes submitted at NCBI from different samples of infected Cluster. MN908947 (complete genome) NC_045512 (reference sequence), LC522350 (gene region coded for RdRp), LC523807 (coded for N), LC523808 (coded for N), LC523809 (coded for N), LC528232 complete, LC528233 complete, LC529905 complete, LR757995 complete, LR757996 complete, LR757997 complete, gapped, LR757998 complete, MN938384 complete, MN938385RdRP, MN938386 RdRP, MN938387 S, MN938388 S, MN938389 S, MN938390 S, MN970003 RdRP, MN970004 RdRP, MN975262 complete, MN975263 RdRP, MN975264 RdRP, MN975265RdRP [1-3].

Open reading frame finder

ORF finder searches for open reading frames (ORFs) in the DNA sequence you enter. The program returns the range of each ORF, along with its protein translation. Use ORF finder to search newly sequenced DNA for potential protein encoding segments, verify predicted protein using newly developed SMART BLAST or regular BLASTP [1,4,5]. After genome alignment, the whole genome was searched for ORF domains using SMART BLAST. Quality parameters like minimal ORF length 75 with standard genetic code having ATG and initiation codons been set.

Alignment of nucleotide and amino acid sequence analysis

Nucleotide sequence editing was conducted using WebDSV 2.0. Protein alignment was done using Clustalw and protein to DNA sequence comparison done using pairwise alignment EMBL EBI tools [6,7]. The homology model prediction was carried out through searching in RCSB database included in Fold and Function Assignment System. Prediction Binding pockets was done online dockingserver.com. 3D structure structures are aligned by Autodock and pymol structure alignment tools.

COMPUTATIONAL METHODS

Docking calculations were carried out using Docking Server. Gasteiger partial charges were added to the ligand atoms. Non-polar hydrogen atoms were merged, and rotatable bonds were defined [8-10]. Docking calculations were carried out on selected ligands to SARS-CoV-2 main protease PDB ID 6LU7, Human furin PDB ID6HZD, PDB ID 3E9S papain like protease and PDB ID 6NUR Nsp12 of SARS virus. Essential hydrogen atoms, Kollman united atom type charges, and solvation parameters were added with the aid of Autodock tools [11]. Affinity (grid) maps of Å grid points and 0.375 Å spacing were generated using the Autogrid program [11]. Swiss protein modelling and Autodock tools are used for protein clean. Autodock parameter set- and distance-dependent dielectric functions were used in the calculation of the van der Waals and the electrostatic terms, respectively [11-13]. Docking simulations were performed using the Lamarckian genetic algorithm (LGA) and the Solis & Wets local search method [12]. Initial position, orientation and torsions of the ligand molecules were set randomly. All rotatable torsions were released during docking. Each docking experiment was derived from 100 different runs that were set to terminate after a maximum of 2500000 energy evaluations. The population size was set to 150. During the search, a translational step of 0.2 Å and quaternion and torsion steps of 5 were applied.

RESULTS

Homology genome blast and genomes information

Genetic ID MN908947 SARS-CoV-2 isolate Wuhan-Hu-1, complete genome after BLASTn similarity search had shown more similarity with many bat coronaviruses, some unknown virus and for some synthetic recombinant virus with genetic ID FJ211859.1 see Figure 2 and Figure 3 for whole genome and distance tree analysis. After whole genome alignment in WebDSV 2.0 tools, forward and reverse primers identified as shown in Figure 4 and Figure 5 both circular and linear alignments for 29903 bp.
Figure 2.

Multiple sequence alignment viewer of distance tree of genome of SARS-CoV-2 genetic ID MN908947.3.

Figure 3.

Distance tree of SARS-CoV-2 viral genome genetic ID MN908947.3 by blastn suite.

Figure 4.

Circular genome-Forward primer sites in whole Genome of SARS-CoV-2.

Figure 5.

Linear genome-Forward primer sites in whole Genome of SARS-CoV-2.

Open reading frame finder

SMART BLAST analysis shows more than 283 open reading frames shown in supplementary file orf finder-NCBI and in Table 1. ORF16, ORF5, ORF8 had shown most proteins coding for mono-ADP-ribosyltransferase PARP protein families, helicases, coronavirus family proteins NSP11 and NSP13, papain like viral protease, Pfam super family proteins of orthocoronaviridae, APA3 viroporin: Coronavirus accessory protein 3a, orf3a protein of coronaviridae. ORF120 coded for BAT SARS coronavirus HKU3, HKU3–2 and HKU3–9 mainly origin from Rhinolophus affinis an Intermediate horseshoe bat widely available in Asia. ORF238 codes for enzymes dimethylaniline monooxygenase. All positive strand ORF’s coded for Bat SARS coronavirus related proteins.
Table 1.

Open reading frames in whole genome of SARS-CoV-2.

LabelStrandFrameStartStopLength (nt | aa)
ORF16 +22661348313218 | 4405
ORF5 +113768215557788 | 2595
ORF42 +221521253843864 | 1287
ORF50 +228274295331260 | 419
ORF8 +12539326220828 | 275
ORF117 +32649927191693 | 230
ORF215 218431391453 | 150
ORF278 327122290423 | 140
ORF119 +32789428259366 | 121
ORF12 +12739427759366 | 121
ORF214 229172561357 | 118
ORF220 32915128813339 | 112
ORF269 364896187303 | 100
ORF120 +32827828577300 | 99
ORF180 22349423198297 | 98
ORF98 +32191822199282 | 93
ORF168 22914028862279 | 92
ORF234 32334923074276 | 91
ORF229 32536825099270 | 89
ORF161 132633006258 | 85
ORF65 +329583206249 | 82
ORF121 +32871028955246 | 81
ORF238 32001019765246 | 81
ORF217 2667422246 | 81
ORF233 32391923680240 | 79
ORF193 21235512122234 | 77
ORF9 +12624526472228 | 75
ORF97 +32163921863225 | 74
ORF173 22580725586222 | 73
ORF56 +38881097210 | 69
ORF102 +32288423093210 | 69
ORF88 +31019110400210 | 69
ORF21 +21546115667207 | 68
ORF167 22941329207207 | 68
ORF140 11818517979207 | 68
ORF257 31190411701204 | 67
ORF171 22700726804204 | 67
ORF254 31248612283204 | 67
ORF181 22211121911201 | 66
ORF128 12637826181198 | 65
ORF132 12103820844195 | 64
ORF75 +361566350195 | 64
ORF68 +339124103192 | 63
ORF150 11355013359192 | 63
ORF225 32722527034192 | 63
ORF48 +22668426872189 | 62
ORF100 +32253922724186 | 61
ORF205 260195834186 | 61
ORF232 32411123926186 | 61
ORF11 +12720227387186 | 61
ORF25 +21661616798183 | 60
ORF282 3315133183 | 60
ORF260 31099510819177 | 58
ORF126 12955229376177 | 58
ORF164 1692516177 | 58
ORF252 31305312880174 | 57
ORF253 31276512592174 | 57
ORF243 31832418151174 | 57
ORF147 11448614313174 | 57
ORF115 +32552425697174 | 57
ORF55 +3711881171 | 56
ORF261 31076710597171 | 56
ORF74 +359196089171 | 56
ORF78 +375427709168 | 55
ORF250 31515914992168 | 55
ORF108 +32387424041168 | 55
ORF87 +3995110115165 | 54
ORF280 316891528162 | 53
ORF196 21038410223162 | 53
ORF59 +315781739162 | 53
ORF67 +335943752159 | 52
ORF118 +32772927887159 | 52
ORF192 21327313115159 | 52
ORF231 32456124406156 | 51
ORF95 +31331113466156 | 51
ORF242 31854318388156 | 51
ORF36 +21914819303156 | 51
ORF178 22417824023156 | 51
ORF125 12984029685156 | 51
ORF207 256415486156 | 51
ORF275 339633811153 | 50
ORF265 389498797153 | 50
ORF237 32113520983153 | 50
ORF272 350224873150 | 49
ORF52 +3276425150 | 49
ORF26 +21697317122150 | 49
ORF190 21405913910150 | 49
ORF40 +22099321142150 | 49
ORF157 164046258147 | 48
ORF138 11929219146147 | 48
ORF256 31207811932147 | 48
ORF155 11064910503147 | 48
ORF135 12015020007144 | 47
ORF127 12887128728144 | 47
ORF146 11465114508144 | 47
ORF191 21344113298144 | 47
ORF70 +346924835144 | 47
ORF136 11985619713144 | 47
ORF244 31799417851144 | 47
ORF186 21693916799141 | 46
ORF17 +21428814428141 | 46
ORF203 278257688138 | 45
ORF112 +32460624743138 | 45
ORF174 22498824851138 | 45
ORF197 21017710040138 | 45
ORF104 +32322023357138 | 45
ORF189 21570315566138 | 45
ORF4 +11095111088138 | 45
ORF202 283718237135 | 44
ORF273 344584324135 | 44
ORF33 +21839218523132 | 43
ORF222 32777127640132 | 43
ORF76 +372367367132 | 43
ORF156 175387407132 | 43
ORF86 +392019329129 | 42
ORF23 +21615116279129 | 42
ORF105 +32338523513129 | 42
ORF90 +31231812443126 | 41
ORF43 +22545725582126 | 41
ORF177 22436724242126 | 41
ORF133 12057620451126 | 41
ORF13 +12806628191126 | 41
ORF6 +12468824813126 | 41
ORF109 +32404524170126 | 41
ORF122 +32896229084123 | 40
ORF264 392889166123 | 40
ORF148 11402713905123 | 40
ORF245 31762817506123 | 40
ORF14 +12917329295123 | 40
ORF216 21021899123 | 40
ORF83 +388568975120 | 39
ORF114 +32532925448120 | 39
ORF221 32841328297117 | 38
ORF18 +21463614752117 | 38
ORF107 +32364023756117 | 38
ORF169 22852228406117 | 38
ORF34 +21864718763117 | 38
ORF279 320461930117 | 38
ORF51 +22955829674117 | 38
ORF110 +32421324329117 | 38
ORF113 +32476224875114 | 37
ORF200 287858672114 | 37
ORF71 +351035216114 | 37
ORF208 250114901111 | 36
ORF1 +158035913111 | 36
ORF142 11727617166111 | 36
ORF266 387548644111 | 36
ORF45 +22606026170111 | 36
ORF111 +32433024440111 | 36
ORF28 +21760617716111 | 36
ORF24 +21649316603111 | 36
ORF54 +3576686111 | 36
ORF277 329492842108 | 35
ORF153 11208311976108 | 35
ORF123 +32916029267108 | 35
ORF124 +32934329450108 | 35
ORF139 11857818471108 | 35
ORF159 142984191108 | 35
ORF211 234663359108 | 35
ORF210 236853578108 | 35
ORF62 +322082312105 | 34
ORF204 273367232105 | 34
ORF81 +379988102105 | 34
ORF267 381488044105 | 34
ORF85 +390909194105 | 34
ORF201 285818477105 | 34
ORF92 +31266912773105 | 34
ORF184 21737717273105 | 34
ORF271 355775473105 | 34
ORF106 +32352023624105 | 34
ORF31 +21808618187102 | 33
ORF53 +3432533102 | 33
ORF281 311101009102 | 33
ORF224 32745627355102 | 33
ORF61 +318661967102 | 33
ORF63 +325832684102 | 33
ORF57 +311281229102 | 33
ORF255 31225512154102 | 33
ORF84 +389829083102 | 33
ORF240 31897818877102 | 33
ORF219 32951129410102 | 33
ORF152 11305812957102 | 33
ORF154 11085610755102 | 33
ORF116 +32596826069102 | 33
ORF195 2115961149899 | 32
ORF283 31081099 | 32
ORF274 34236413899 | 32
ORF235 3225992250199 | 32
ORF236 3213722127499 | 32
ORF199 29493939599 | 32
ORF239 3191011900399 | 32
ORF268 37419732199 | 32
ORF248 3158881579099 | 32
ORF263 3103711027399 | 32
ORF39 +2201652026399 | 32
ORF187 2163061620899 | 32
ORF158 15546544899 | 32
ORF141 1175431744599 | 32
ORF46 +2261832628199 | 32
ORF10 +1268122691099 | 32
ORF131 1215512145399 | 32
ORF47 +2264562655499 | 32
ORF143 1162951620096 | 31
ORF213 23190309596 | 31
ORF212 23298320396 | 31
ORF276 33450335596 | 31
ORF103 +3231062320196 | 31
ORF259 3111541105996 | 31
ORF179 2236322353796 | 31
ORF66 +33207330296 | 31
ORF246 3171061701196 | 31
ORF194 2118421174796 | 31
ORF91 +3124801257293 | 30
ORF228 3256022551093 | 30
ORF72 +35565565793 | 30
ORF44 +2258922598493 | 30
ORF77 +37377746993 | 30
ORF188 2159911589993 | 30
ORF160 13830373893 | 30
ORF7 +1251952528793 | 30
ORF163 11904181293 | 30
ORF270 36072598093 | 30
ORF19 +2147651485793 | 30
ORF206 25779568793 | 30
ORF172 2265362644790 | 29
ORF249 3156961560790 | 29
ORF185 2172001711190 | 29
ORF80 +37893798290 | 29
ORF251 3143671427890 | 29
ORF176 2245952450690 | 29
ORF101 +3227762286590 | 29
ORF129 1254542536590 | 29
ORF134 1204382034990 | 29
ORF227 3261272603890 | 29
ORF170 2281052801690 | 29
ORF175 2248112472587 | 28
ORF60 +31770185687 | 28
ORF22 +2158121589887 | 28
ORF247 3168181673287 | 28
ORF183 2178541776887 | 28
ORF30 +2179661805287 | 28
ORF144 1156171553187 | 28
ORF73 +35697578387 | 28
ORF35 +2187641884784 | 27
ORF2 +18815889884 | 27
ORF32 +2182841836784 | 27
ORF41 +2213172140084 | 27
ORF58 +31476155984 | 27
ORF258 3115771149484 | 27
ORF151 1132771319484 | 27
ORF165 122714484 | 27
ORF182 2187031862084 | 27
ORF94 +3130051308884 | 27
ORF166 2295002941784 | 27
ORF145 1151431506084 | 27
ORF130 1223522226984 | 27
ORF223 3276212753884 | 27
ORF137 1197001961784 | 27
ORF82 +38745882581 | 26
ORF162 12561248181 | 26
ORF27 +2173931747381 | 26
ORF29 +2178311791181 | 26
ORF149 1136311355181 | 26
ORF226 3262262614681 | 26
ORF262 3105091042981 | 26
ORF49 +2278752795581 | 26
ORF99 +3223142239481 | 26
ORF79 +37758783881 | 26
ORF69 +34350443081 | 26
ORF89 +3121261220681 | 26
ORF15 +25913678 | 25
ORF209 24408433178 | 25
ORF20 +2148581493578 | 25
ORF3 +19541961878 | 25
ORF198 29964988778 | 25
ORF218 231023378 | 25
ORF37 +2195501962778 | 25
ORF38 +2196641974178 | 25
ORF230 3249662488978 | 25
ORF96 +3211172119478 | 25
ORF93 +3128641294178 | 25
ORF64 +32793287078 | 25
ORF241 3187771870078 | 25

Docking results

Selected paritaprevir, entecavir, ergotamine tartrate, telaprevir, dihydroergotamine, simeprevir, ergotamine alkaloid, telmisartan, ritonavir tartrate, fgi 106, corosolic acid, chloroquine, darunavir, nelfinavir, glycyrrhizic acid, baicalin, ritonavir, quilajja saponin, lopinavir, amprenavir, fosamprenavir, quercetin, remdesivir, pemetrexed, raltitrexed, sofosbuvir were docked against proteins SARS-CoV-2 main protease PDB ID 6LU7, Human furinPDB ID6HZD, PDB ID 3E9S papain like protease and PDB ID 6NUR Nsp12 (RdRp) in selective manner as mentioned in (Tables 2, 3 and 4).
Table 2.

Identified potential drug leads against protease and replication polymerase novel corona virus targets.

S. NoDrug nameTarget Viral ProteinΔG (Free Energy of Binding) kcal/molInhibition Constant Ki
1.ParitaprevirProteases−9.32147.06 nM
2.Ergotamine tartrateProteases−9.23171.72 nM
3.TelaprevirProteases−8.98260.28 nM
4.DihydroergotamineProteases−8.96270.32 nM
5.SimeprevirProteases−8.61489.77 nM
6.Ergotamine alkaloidProteases−8.541.85 uM
7.TelmisartanProteases−7.364.03 uM
8.Ritonavir tartrateProteases−7.304.48 uM
9.FGI 106Proteases−7.145.82 uM
10.Corosolic acidProteases−7.096.33 uM
11.ChloroquineProteases−6.967.94 uM
12.DarunavirProteases−6.948.15 uM
13.NelfinavirProteases−6.7910.55 uM
14.Glycyrrhizic acidProteases−6.7511.26 uM
15.BaicalinProteases−6.5815.00 uM
16.RitonavirProteases−6.3920.64 uM
17.quilajja saponinProteases−6.1630.59 uM
18.LopinavirProteases−5.9245.67 uM
19.AmprenavirProteases−5.8254.06 uM
20.FosamprenavirProteases−4.94240.42 uM
21.QuercetinProteases−4.74338.05 uM
22.RemdesivirProteases−4.53475.88 uM
23.PemetrexedRdRp (viral Replication)−6.4917.54 uM
24.RaltitrexedRdRp (viral Replication)−6.7112.08 uM
25.SofosbuvirRdRp (viral Replication)−5.4030.89 uM
Table 3.

Identified potential drug leads against human furin proteases for novel corona virus targets.

S. No.Drug NameTarget ProteinΔG (Free Energy of Binding) kcal/molInhibition Constant Ki
1.ChloroquineFurin−8.61 kcal/mol487.42 nM
2.BaicalinFurin−7.40 kcal/mol3.75 uM
3.Corosolic acidFurin−7.67 kcal/mol2.41 uM
4.Glycyrrhizic acidFurin−5.84 kcal/mol52.76 uM (mild inhibitor)
5.ParitaprevirFurin−10.02 kcal/mol45.27 nM(strong inhibitor)
6.RitonavirFurin−7.91 kcal/mol1.58 uM
7.RemdesivirFurin−4.81 kcal/mol300.08 uM
Table 4.

Identified potential drug leads against papain like proteases of novel corona virus targets.

S. NoDrug NameTarget ProteinΔG (Free Energy of Binding) kcal/molInhibition Constant Ki
1.Paritaprevirpapain like proteases−7.09 kcal/mol6.40 uM
2.Lopinavirpapain like proteases−4.25 kcal/mol772.95 uM (weak inhibitor)
3.Ritonavirpapain like proteases−4.73 kcal/mol339.64 uM
4.Chloroquinepapain like proteases−7.28 kcal/mol4.61 uM
5.Remdesivirpapain like proteases−5.66 kcal/mol70.56 uM (weal inhibition)
Paritaprevir, chloroquine and ritonavir had shown strong multi target inhibition like spike proteins, proteases and furin. Natural compounds like baicalin, corosolic acid had shown multi target inhibition properties against spike proteins, proteases and furin.

DISCUSSION

At present world is facing pandemic situation because of SARS-CoV-2 infection. There is an urgency to address this situation as no present treatment protocols are not been established. The only way to develop quick treatment protocols can be achieved by studying detailed case studies of SARS infections caused by influenza and non-influenza viruses and also studying existing antiviral drugs. Computational and high throughput screening tools are the best aids to design and study the efficacy of existing antiviral drugs along with some anti-inflammatory drugs against SARS-CoV-2 targeted sites. Antiviral drugs like oseltamivir used against neuraminidase of SARS in last decade, favilavir an RNA-Dependent RNA polymerase (RdRp) inhibitor also showed effective against the SARS influenza virus. Recently Japan also proposed use of favipiravir and Avian flu drug to treat SARS-CoV-2 infection. Remdesivir a proposed drug to treat Ebola virus also been proposed to test against SARS-CoV-2. DNA and RNA inhibitors like sofosbuvir and anti-HIV drug compositions also been proposed at present to treat the present global pandemic caused by novel coronavirus. Most of the proposed drugs had shown either less efficacy or effective in some patients but not achieved complete success. In order to develop complete treatment protocol, one should understand the disease pathogenesis. As per case reports available study indicates respiratory outburst due to various inflammatory study indicates severe diarrhoea and respiratory outburst due to inflammatory factors causing death among novel coronavirus infected patients. As per our study we found CD4+ activation leading to TH1 and TH2 cytokines outburst in excessive leading to severe respiratory illness in patients affected by SARS-CoV-2. This virus has Orf zone indicating C lectin type binding receptors of host (Figure 4, 5 and 6) which may make this virus to escape MHC Class I antigen presentation leading to asymptomatic conditions in some patients. Interleukins like IL6, IL8 and IL2 along with TNFα might be main causative inflammatory leading respiratory failure. Based on available case study by [14] most of the patients admitted had shown difficulty in breathing, cough and fever with severe respiratory illness and pneumonia. In this study we propose use of multi target therapy which includes viral protein targets involving in host cell entry and replication and host cytokines. Viral proteins like spike, neuraminidase, main protease (3CLpro), papain like protease (PLpro) and RNA-Dependent RNA polymerase (RdRp) are the key viral protein targets [2]. Inhibition of spike (S) protein binding to ACE 2 will be key prophylactic drug discovery to control SARS-CoV-2.
Figure 6.

ProrVista tool analysis of ORF reads of SARS-CoV-2.

CONCLUSION

The present used carried out using computational and high throughput screening tools in order to evaluate the whole Genome analysis of SARS-CoV-2 and identifying potential drugs to treat novel coronavirus influenza. Gene sequence was obtained from NCBI genome database [15,3] and Molbiol and other BLAST analysis tools were used to analyse genome wide study. Similarity search analysis had shown possible close species relation with BAT SARS Corona virus particularly from Intermediate horseshoe bat (Rhinolophus affinis) and some Beta Coronaviridae family. The data also suggest some possible cross species interaction of Delta coronavirus families and species jump from bats to intermediate host which is unknown or from porcine origin. VISTA Tools for Comparative Genomics had shown some phylogenetic origin of SARS-CoV-2 by chimeric recombination between HKU2 alpha Coronaviridae which caused severe Swine diarrhoea syndrome caused by Bat droppings and HKU15 a delta corona virus causing swine respiratory syndrome (Figure 7). Some genome wide analysis also matches with Recombination Clone of SARS Coronavirus with genetic ID FJ211859.1 which should be properly evaluated as future indication. Orf reading had shown more than main 238 Orf sites SARS coronavirus Orf3/3a (Figure 6) which is a characteristic protein for SARS Coronavirus family. Some other proteins include NS3/E, small non-structural proteins, well conserved among Coronavirus strains and a small uncharacteristic protein SARS_NS6 with small amino acid sequence. Drugs selected from zinc database like remdesivir, paritaprevir, sofosbuvir, ritonavir, lopinavir, chloroquine derivatives like hydroxychloroquine including natural molecules like glycyrrhizin, corosolic acid and baicalin were used as ligands in docking studies against viral proteins like spike, main protease (3CLpro). Papain like protease (PLpro), RNA dependent RNA polymerase. Docking results had shown paritaprevir, ritonavir and chloroquine derivatives as best drug leads against spike and proteases of SARS-Co-V2. Natural drugs like glycyrrhizin, corosolic acid and baicalin also shown strong binding affinity against spike and protease proteins of novel corona virus. From existing clinical data, we also propose use of anti-inflammatory drugs in treating the SARS-CoV-2 disease progression. In this study we propose for clinical study by combined use of paritaprevir, entecavir, ritonavir, and hydroxychloroquine along with anti-inflammatory drugs and also use of niacinamide, vitamin C, zinc supplements for possible good clinical outcome. We also propose study plant protease inhibitors (PI’s), glycoprotein-based antibodies and small molecules like Lysozyme hydrochloride, Oxamniquine and Nateglinide therapies.
Figure 7.

VISTA GENOME TOOL COMPRATIVE ANALYSIS-JQ065043.2–HKU2 swine corona virus, NC 009988.1 HKU15 SARS coronavirus from horseshoe bats (Rhinolophus) & MN908947.3 SARS-CoV-2.

  3 in total

1.  Application of the PM6 semi-empirical method to modeling proteins enhances docking accuracy of AutoDock.

Authors:  Zsolt Bikadi; Eszter Hazai
Journal:  J Cheminform       Date:  2009-09-11       Impact factor: 5.514

2.  Clinical Characteristics of Coronavirus Disease 2019 in China.

Authors:  Wei-Jie Guan; Zheng-Yi Ni; Yu Hu; Wen-Hua Liang; Chun-Quan Ou; Jian-Xing He; Lei Liu; Hong Shan; Chun-Liang Lei; David S C Hui; Bin Du; Lan-Juan Li; Guang Zeng; Kwok-Yung Yuen; Ru-Chong Chen; Chun-Li Tang; Tao Wang; Ping-Yan Chen; Jie Xiang; Shi-Yue Li; Jin-Lin Wang; Zi-Jing Liang; Yi-Xiang Peng; Li Wei; Yong Liu; Ya-Hua Hu; Peng Peng; Jian-Ming Wang; Ji-Yang Liu; Zhong Chen; Gang Li; Zhi-Jian Zheng; Shao-Qin Qiu; Jie Luo; Chang-Jiang Ye; Shao-Yong Zhu; Nan-Shan Zhong
Journal:  N Engl J Med       Date:  2020-02-28       Impact factor: 91.245

3.  Analysis of therapeutic targets for SARS-CoV-2 and discovery of potential drugs by computational methods.

Authors:  Canrong Wu; Yang Liu; Yueying Yang; Peng Zhang; Wu Zhong; Yali Wang; Qiqi Wang; Yang Xu; Mingxue Li; Xingzhou Li; Mengzhu Zheng; Lixia Chen; Hua Li
Journal:  Acta Pharm Sin B       Date:  2020-02-27       Impact factor: 11.413

  3 in total
  5 in total

Review 1.  In silico Methods for Identification of Potential Therapeutic Targets.

Authors:  Xuting Zhang; Fengxu Wu; Nan Yang; Xiaohui Zhan; Jianbo Liao; Shangkang Mai; Zunnan Huang
Journal:  Interdiscip Sci       Date:  2021-11-26       Impact factor: 3.492

2.  Identifying and repurposing antiviral drugs against severe acute respiratory syndrome coronavirus 2 with in silico and in vitro approaches.

Authors:  Koichi Watashi
Journal:  Biochem Biophys Res Commun       Date:  2020-11-20       Impact factor: 3.575

Review 3.  Targeting autophagy with natural products to prevent SARS-CoV-2 infection.

Authors:  Chiara Vidoni; Andréa Fuzimoto; Alessandra Ferraresi; Ciro Isidoro
Journal:  J Tradit Complement Med       Date:  2021-10-14

4.  Virtual screening and molecular dynamics study of approved drugs as inhibitors of spike protein S1 domain and ACE2 interaction in SARS-CoV-2.

Authors:  Manisha Prajapat; Nishant Shekhar; Phulen Sarma; Pramod Avti; Sanjay Singh; Hardeep Kaur; Anusuya Bhattacharyya; Subodh Kumar; Saurabh Sharma; Ajay Prakash; Bikash Medhi
Journal:  J Mol Graph Model       Date:  2020-08-21       Impact factor: 2.518

5.  In silico identification of available drugs targeting cell surface BiP to disrupt SARS-CoV-2 binding and replication: Drug repurposing approach.

Authors:  Yiming Zhang; Rory A Greer; Yuwei Song; Hrithik Praveen; Yuhua Song
Journal:  Eur J Pharm Sci       Date:  2021-02-19       Impact factor: 4.384

  5 in total

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