Docking studies of tetra substituted pyrazolone derivatives as potential antiviral agents

2018 ◽  
Vol 5 (2) ◽  
pp. 5-8
Author(s):  
Jyothi Achuthanandhan ◽  
Baskar Lakshmanan
Keyword(s):  
Rna Polymerase ◽  
Inhibitory Activity ◽  
In Silico ◽  
Antiviral Agents ◽  
Docking Studies ◽  
Binding Modes ◽  
Binding Interaction ◽  
Rna Dependent Rna Polymerase ◽  
Adme Prediction ◽  
Pyrazolone Derivatives

In an attempt to find potential antiviral agents, a series of pyrazolones (PA1-PA6& PC1-PC6) were designed and evaluated for their  DENVNS5 (RNA-dependent RNA polymerase) inhibitory activity. Molecular docking studies of all the designed compounds into the binding site of DENVNS5 (PDB Code: 4C11) were performed to gain a comprehensive understanding into rational binding modes. These compounds were also screened for in silico drug-likeliness properties on the basis of the absorption, distribution, metabolism and excretion (ADME) prediction. Among all the synthesized compounds, analogue  PA6showed superior inhibitory activity against RNA dependent RNA polymerase. SAR  study indicated that the presence of an electron withdrawing substitution on pyrazolone derivatives significantly improves its binding interaction with the protein.Results of ADME prediction revealed that most of these compounds showed in silico drug-likeliness.

scholarly journals Virtual Combinatorial Library Screening of Quinadoline B Derivatives against SARS-CoV-2 RNA-Dependent RNA Polymerase

Computation ◽  
2022 ◽  
Vol 10 (1) ◽  
pp. 7
Author(s):  
Simone Brogi ◽  
Mark Tristan Quimque ◽  
Kin Israel Notarte ◽  
Jeremiah Gabriel Africa ◽  
Jenina Beatriz Hernandez ◽  
...  
Keyword(s):  
Rna Polymerase ◽  
In Silico ◽  
Antiviral Agents ◽  
Computational Procedure ◽  
Binding Mode ◽  
Significant Activity ◽  
Chemical Library ◽  
Rna Dependent Rna Polymerase ◽  
Peptide Residue ◽  
Starting Compound

The unprecedented global health threat of SARS-CoV-2 has sparked a continued interest in discovering novel anti-COVID-19 agents. To this end, we present here a computer-based protocol for identifying potential compounds targeting RNA-dependent RNA polymerase (RdRp). Starting from our previous study wherein, using a virtual screening campaign, we identified a fumiquinazolinone alkaloid quinadoline B (Q3), an antiviral fungal metabolite with significant activity against SARS-CoV-2 RdRp, we applied in silico combinatorial methodologies for generating and screening a library of anti-SARS-CoV-2 candidates with strong in silico affinity for RdRp. For this study, the quinadoline pharmacophore was subjected to structural iteration, obtaining a Q3-focused library of over 900,000 unique structures. This chemical library was explored to identify binders of RdRp with greater affinity with respect to the starting compound Q3. Coupling this approach with the evaluation of physchem profile, we found 26 compounds with significant affinities for the RdRp binding site. Moreover, top-ranked compounds were submitted to molecular dynamics to evaluate the stability of the systems during a selected time, and to deeply investigate the binding mode of the most promising derivatives. Among the generated structures, five compounds, obtained by inserting nucleotide-like scaffolds (1, 2, and 5), heterocyclic thiazolyl benzamide moiety (compound 3), and a peptide residue (compound 4), exhibited enhanced binding affinity for SARS-CoV-2 RdRp, deserving further investigation as possible antiviral agents. Remarkably, the presented in silico procedure provides a useful computational procedure for hit-to-lead optimization, having implications in anti-SARS-CoV-2 drug discovery and in general in the drug optimization process.

scholarly journals In-Silico Computational Screening of Siddha formulations Visha Sura Kudineer and Adathodai Kudineer against RNA dependent RNA polymerase of SARS CoV-2

2021 ◽  
Vol 12 (3) ◽  
pp. 534-537
Author(s):  
Panneerselvam N R ◽  
Anbarasan B
Keyword(s):  
Rna Polymerase ◽  
In Silico ◽  
Viral Infections ◽  
Therapeutic Option ◽  
Docking Studies ◽  
The Novel ◽  
Rna Dependent Rna Polymerase ◽  
Computational Screening ◽  
Novel Coronavirus ◽  
Tract Infections

Background: Siddha Medicine is an important therapeutic option used for treating various respiratory viral infections and has antiviral herbs. Aim: The study aims to perform the In Silico computational studies of Phytoconstituents of Siddha formulation Visha Sura Kudineer and Adathodai Kudineer which are commonly used in the treatment of viral fever and respiratory tract infections and could be effective against the novel coronavirus disease. Methods: Autodock program was used for the molecular docking studies against RNA-dependent RNA polymerase (RdRP) (PDB ID: 6NUR). Results: A total of 9 compounds were screened, of these 4 compounds namely, Andrographolide of Visha Sura Kudineer and Anisotine, Apioside, and 1-(p-Methoxybenzoyl) aziridine of Adathodai Kudineer showed high binding affinity against RdRp. Conclusion: Based on further experiments and clinical trials, formulations Visha Sura Kudineer and Adathodai Kudineer could be effective in the treatment of COVID-19.

scholarly journals Combinatorial library screening of quinadoline B derivatives against SARS-CoV-2 RNA-dependent RNA polymerase

2021 ◽  
Author(s):  
simone brogi ◽  
Mark Tristan Quimque ◽  
Kin Israel Notarte ◽  
Jeremiah Gabriel Africa ◽  
Jenina Beatriz Hernandez ◽  
...  
Keyword(s):  
Rna Polymerase ◽  
In Silico ◽  
Antiviral Agents ◽  
Computational Procedure ◽  
Binding Mode ◽  
Significant Activity ◽  
Chemical Library ◽  
Rna Dependent Rna Polymerase ◽  
Peptide Residue ◽  
Starting Compound

The unprecedented global health threat of SARS-CoV-2 has sparked a continued interest to discover novel anti-COVID-19 agents. To this end, we present here a computer-based protocol for identifying potential compounds targeting RNA-dependent RNA polymerase (RdRp). Starting from our previous study in which, by a virtual screening campaign, we identified a fumiquinazolinone alkaloid quinadoline B (Q3), an antiviral fungal metabolite with significant activity against SARS-CoV-2 RdRp, we applied an in silico combinatorial methodologies for generating and screening a library of anti-SARS-CoV-2 candidates with strong in silico affinity for RdRp. For this study, the quinadoline pharmacophore was subjected to structural iteration obtaining a Q3-focused library of over 900,000 unique structures. This chemical library was explored to identify binders of RdRp with greater affinity with respect to the starting compound Q3. Coupling this approach with the evaluation of physchem profile, we found 26 compounds with significant affinities for the RdRp binding site. Moreover, top-ranked compounds were submitted to molecular dynamics to evaluate the stability of the systems during a selected time, and for deeply investigating the binding mode of the most promising derivatives. Among the generated structures, five compounds, obtained by inserting nucleotide-like scaffolds (1, 2, and 5), heterocyclic thiazolyl benzamide moiety (compound 3), and a peptide residue (compound 4), exhibited enhanced binding affinity for SARS-CoV-2 RdRp, deserving further investigation as possible antiviral agents. Remarkably, the presented in silico procedure provides a useful computational procedure for hit-to-lead optimization, having implications in anti-SARS-CoV-2 drug discovery and in general in the drug optimization process.

Recent Advances towards Drug Design Targeting the Protease of 2019 novel coronavirus (2019-nCoV)

2020 ◽  
Vol 27 ◽  
Author(s):  
Sehrish Bano ◽  
Abdul Hameed ◽  
Mariya Al-Rashida ◽  
Shafia Iftikhar ◽  
Jamshed Iqbal
Keyword(s):  
Drug Design ◽  
Rna Polymerase ◽  
Drug Targets ◽  
Antiviral Agents ◽  
Structural Features ◽  
Antiviral Drugs ◽  
Rna Dependent Rna Polymerase ◽  
Mortality And Morbidity ◽  
Functional Relationships ◽  
Novel Coronavirus

Background: The 2019 novel coronavirus (2019-nCoV), also known as coronavirus 2 (SARS-CoV-2) acute respiratory syndrome has recently emerged and continued to spread rapidly with high level of mortality and morbidity rates. Currently, no efficacious therapy is available to relieve coronavirus infections. As new drug design and development takes much time, there is a possibility to find an effective treatment from existing antiviral agents. Objective: In this case, there is a need to find out the relationship between possible drug targets and mechanism of action of antiviral drugs. This review discusses about the efforts to develop drug from known or new molecules. Methods: Viruses usually have two structural integrities, proteins and nucleic acids, both of which can be possible drug targets. Herein, we systemically discuss the structural-functional relationships of the spike, 3-chymotrypsin-like protease (3CLpro), papain like protease (PLpro) and RNA-dependent RNA polymerase (RdRp), as these are prominent structural features of corona virus. Certain antiviral drugs such as Remdesivir are RNA dependent RNA polymerase inhibitor. It has the ability to terminate RNA replication by inhibiting ATP. Results: It is reported that ATP is involved in synthesis of coronavirus non-structural proteins from 3CLpro and PLpro. Similarly, mechanisms of action of many other antiviral agents has been discussed in this review. It will provide new insights into the mechanism of inhibition, and let us develop new therapeutic antiviral approaches against novel SARS-CoV-2 coronavirus. Conclusion: In conclusion, this review summarizes recent progress in developing protease inhibitors for SARS-CoV-2.

In Silico Identification of a Potent Arsenic Based Approved Drug Darinaparsin against SARS-CoV-2: Inhibitor of RNA Dependent RNA polymerase (RdRp) and Essential Proteases

2020 ◽  
Vol 20 ◽  
Author(s):  
Trinath Chowdhury ◽  
Gourisankar Roymahapatra ◽  
Santi M. Mandal
Keyword(s):  
Rna Polymerase ◽  
Viral Entry ◽  
In Silico ◽  
Rna Dependent Rna Polymerase ◽  
Replication Complex ◽  
In Silico Study ◽  
Life Threatening ◽  
In Vivo Analysis ◽  
3Cl Protease

Background: COVID-19 is a life threatening novel corona viral infection to our civilization and spreading rapidly. Terrific efforts are generous by the researchers to search for a drug to control SARS-CoV-2. Methods: Here, a series of arsenical derivatives were optimized and analyzed with in silico study to search the inhibitor of RNA dependent RNA polymerase (RdRp), the major replication factor of SARS-CoV-2. All the optimized derivatives were blindly docked with RdRp of SARS-CoV-2 using iGEMDOCK v2.1. Results: Based on the lower idock score in the catalytic pocket of RdRp, darinaparsin (-82.52 kcal/mol) revealed most effective among them. Darinaparsin strongly binds with both Nsp9 replicase protein (-8.77 kcal/mol) and Nsp15 endoribonuclease (-8.3 kcal/mol) of SARS-CoV-2 as confirmed from the AutoDock analysis. During infection, the ssRNA of SARS-CoV2 is translated into large polyproteins forming viral replication complex by specific proteases like 3CL protease and papain protease. This is also another target to control the virus infection where darinaparsin also perform the inhibitory role to proteases of 3CL protease (-7.69 kcal/mol) and papain protease (-8.43 kcal/mol). Conclusion: In host cell, the furin protease serves as a gateway to the viral entry and darinaparsin docked with furin protease which revealed a strong binding affinity. Thus, screening of potential arsenic drugs would help in providing the fast invitro to in-vivo analysis towards development of therapeutics against SARS-CoV-2.

Synthesis, investigation of biological effects and in silico studies of new benzimidazole derivatives as aromatase inhibitors

2020 ◽  
Vol 75 (9-10) ◽  
pp. 353-362
Author(s):  
Begüm Nurpelin Sağlık ◽  
Ahmet Mücahit Şen ◽  
Asaf Evrim Evren ◽  
Ulviye Acar Çevik ◽  
Derya Osmaniye ◽  
...  
Keyword(s):  
Anticancer Activity ◽  
In Silico ◽  
Biological Effects ◽  
Docking Studies ◽  
Benzimidazole Derivatives ◽  
Binding Modes ◽  
Reference Drug ◽  
In Silico Studies ◽  
New Compounds ◽  
Mcf 7

AbstractInhibition of aromatase enzymes is very important in the prevention of estrogen-related diseases and the regulation of estrogen levels. Aromatase enzyme is involved in the final stage of the biosynthesis of estrogen, in the conversion of androgens to estrogen. The development of new compounds for the inhibition of aromatase enzymes is an important area for medicinal chemists in this respect. In the present study, new benzimidazole derivatives have been designed and synthesized which have reported anticancer activity in the literature. Their anticancer activity was evaluated against human A549 and MCF-7 cell lines by MTT assay. In the series, concerning MCF-7 cell line, the most potent compounds were the 4-benzylpiperidine derivatives 2c, 2g, and 2k with IC50 values of 0.032 ± 0.001, 0.024 ± 0.001, and 0.035 ± 0.001 µM, respectively, compared to the reference drug cisplatin (IC50 = 0.021 ± 0.001 µM). Then, these compounds were subject to further in silico aromatase enzyme inhibition assays to determine the possible binding modes and interactions underlying their activity. Thanks to molecular docking studies, the effectiveness of these compounds against aromatase enzyme could be simulated. Consequently, it has been found that these compounds can be settled very properly to the active site of the aromatase enzyme.

scholarly journals A New CDK2 Inhibitor with 3-Hydrazonoindolin-2-One Scaffold Endowed with Anti-Breast Cancer Activity: Design, Synthesis, Biological Evaluation, and In Silico Insights

Molecules ◽  
2021 ◽  
Vol 26 (2) ◽  
pp. 412
Author(s):  
Mohammad M. Al-Sanea ◽  
Ahmad J. Obaidullah ◽  
Mohamed E. Shaker ◽  
Garri Chilingaryan ◽  
Mohammed M. Alanazi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cell Cycle ◽  
Cell Line ◽  
Inhibitory Activity ◽  
Flow Cytometric Analysis ◽  
Docking Studies ◽  
Biological Evaluation ◽  
Intrinsic Activity ◽  
Binding Interaction ◽  
Mcf 7

Background: Cyclin-dependent kinases (CDKs) regulate mammalian cell cycle progression and RNA transcription. Based on the structural analysis of previously reported CDK2 inhibitors, a new compound with 3-hydrazonoindolin-2-one scaffold (HI 5) was well designed, synthesized, and biologically evaluated as a promising anti-breast cancer hit compound. Methods: The potential anti-cancerous effect of HI 5 was evaluated using cytotoxicity assay, flow cytometric analysis of apoptosis and cell cycle distribution, ELISA immunoassay, in vitro CDK2/cyclin A2 activity, and molecular operating environment (MOE) virtual docking studies. Results: The results revealed that HI 5 exhibits pronounced CDK2 inhibitory activity and cytotoxicity in human breast cancer MCF-7 cell line. The cytotoxicity of HI 5 was found to be intrinsically mediated apoptosis, which in turn, is associated with low Bcl-2 expression and high activation of caspase 3 and p53. Besides, HI 5 blocked the proliferation of the MCF-7 cell line and arrested the cell cycle at the G2/M phase. The docking studies did not confirm which one of geometric isomers (syn and anti) is responsible for binding affinity and intrinsic activity of HI 5. However, the molecular dynamic studies have confirmed that the syn-isomer has more favorable binding interaction and thus is responsible for CDK2 inhibitory activity. Discussion: These findings displayed a substantial basis of synthesizing further derivatives based on the 3-hydrazonoindolin-2-one scaffold for favorable targeting of breast cancer.

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