Literature DB >> 34254908

The Screening of Phytochemicals Against NS5 Polymerase to Treat Zika Virus Infection: Integrated Computational Based Approach.

Abdur Rehman1, Usman Ali Ashfaq1, Muhammad Rizwan Javed2, Farah Shahid1, Fatima Noor1, Sidra Aslam1.   

Abstract

BACKGROUND: The recent Zika Virus (ZIKV) outbreak provides a spur for new, efficient, and safe anti-Zika Virus agents. RNA-dependent RNA polymerase (RdRp) is critical amongst the seven non-structural proteins for viral replication and considered an attractive drug target.
METHODS: In this study, molecular docking approach was used to rationally screen the library of 5000 phytochemicals to find inhibitors against NS5 RdRp. LigX tool was used to analyze the 2D plots of receptor-ligand interactions. The top-ranked compounds were then subjected to in-silico pharmacokinetic study.
RESULTS: The compounds namely Polydatin, Dihydrogenistin, Liquiritin, Rhapontin and Cichoriin were successfully bound inside the pocket of NS5 RdRp. Polydatin was the leading phytochemical that showed high docking score -18.71 (kcal/mol) and bonding interaction at the active-site of NS5 RdRp. They were subjected to analyze drug-like properties that further reinforced their validation and showed that they have more capability to attach with the receptor as compared to SOFOSBUVIR control drug. MD simulation of the top two complexes was performed and the simulated complexes showed stability and ligands were kept within the bonding pocket.
CONCLUSION: The study might facilitate the development of a natural and cost-effective drug against ZIKV. Further validation, however, is necessary to confirm its effectiveness and its biocompatibility. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

Entities:  

Keywords:  NS5-RdRp; Zika virus; biocompatibility; drugs; molecular docking; phytochemicals

Mesh:

Substances:

Year:  2022        PMID: 34254908     DOI: 10.2174/1386207324666210712091920

Source DB:  PubMed          Journal:  Comb Chem High Throughput Screen        ISSN: 1386-2073            Impact factor:   1.339


  3 in total

1.  Discovery of Rift Valley fever virus natural pan-inhibitors by targeting its multiple key proteins through computational approaches.

Authors:  Israr Fatima; Sajjad Ahmad; Mubarak A Alamri; Muhammad Usman Mirza; Muhammad Tahir Ul Qamar; Abdur Rehman; Farah Shahid; Eid A Alatawi; Faris F Aba Alkhayl; Wafa Abdullah Al-Megrin; Ahmad Almatroudi
Journal:  Sci Rep       Date:  2022-06-03       Impact factor: 4.996

2.  Integrating Network Pharmacology and Molecular Docking Approaches to Decipher the Multi-Target Pharmacological Mechanism of Abrus precatorius L. Acting on Diabetes.

Authors:  Fatima Noor; Abdur Rehman; Usman Ali Ashfaq; Muhammad Hamzah Saleem; Mohammad K Okla; Abdulrahman Al-Hashimi; Hamada AbdElgawad; Sidra Aslam
Journal:  Pharmaceuticals (Basel)       Date:  2022-03-29

Review 3.  Network Pharmacology Approach for Medicinal Plants: Review and Assessment.

Authors:  Fatima Noor; Muhammad Tahir Ul Qamar; Usman Ali Ashfaq; Aqel Albutti; Ameen S S Alwashmi; Mohammad Abdullah Aljasir
Journal:  Pharmaceuticals (Basel)       Date:  2022-05-04
  3 in total

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