In silico evaluation of favipiravir-associated potential new drugs against polymerase enzyme of SARS-CoV-2

Millions of lives have been lost to the deadly SARS-CoV-2 virus. Vaccines and antiviral drugs are essential scientific tools in combating viral infections. This <i>in silico</i> study focused on the RdRp inhibitor favipiravir, exploring new analogs by substituting the fluorine atom on the pyrazine ring with both homocyclic and heterocyclic moieties. Initially, ADME and toxicity properties were assessed using SwissADME and ProTox-II online tools. Ligands <b>L6</b> and <b>L7</b> exhibited high bioavailability and drug-likeness compared to favipiravir. Subsequently, all new analogs were docked into the RdRp active site using AutoDock Vina, demonstrating high affinity compared to favipiravir. Based on optimal ADMET profiles and docking scores, ligands <b>L4</b>, <b>L6</b>, and <b>L7</b> underwent 200 ns MDS using the CHAARM 36 force field in NAMD software to validate docking results. Various trajectory analyses, including RMSD, RMSF, histograms, total number of contacts, and ligand properties, were conducted to gain insights into the interaction patterns between ligands and RdRp. All protein-ligand complexes exhibited greater stability than favipiravir throughout simulations period. This theoretical study suggests that ligands <b>L6</b> and <b>L7</b> could serve as lead candidates for RdRp inhibition. Cell-Based SARS-CoV-2 RdRp Activity Assay is recommended to validate these <i>in silico</i> findings.

Authors

Institutions

Publication Details

Journal
Heliyon
Published
2024-09-26
DOI
https://doi.org/10.1016/j.heliyon.2024.e38479
Citations
2
Primary Topic
SARS-CoV-2 and COVID-19 Research
Type
article
Field-Weighted Citation Impact
0.78

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

In silico evaluation of favipiravir-associated potential new drugs against polymerase enzyme of SARS-CoV-2

Muhammad Umar, Muhammad Zahoor, Haroon Ur Rashid, Asaduzzaman Khan et al.
2 citations
Heliyon
SARS-CoV-2 and COVID-19 Research
0.78
article

In silico evaluation of favipiravir-associated potential new drugs against polymerase enzyme of SARS-CoV-2

Muhammad Umar, Muhammad Zahoor, Haroon Ur Rashid, Asaduzzaman Khan, Khalid Ali Khan, Nasir Ahmad, Tanzeel Shah, Saira Saira, Ahmed Bari, Riaz Ullah, Ateeq Khan
article en
2 citations

Abstract

Millions of lives have been lost to the deadly SARS-CoV-2 virus. Vaccines and antiviral drugs are essential scientific tools in combating viral infections. This <i>in silico</i> study focused on the RdRp inhibitor favipiravir, exploring new analogs by substituting the fluorine atom on the pyrazine ring with both homocyclic and heterocyclic moieties. Initially, ADME and toxicity properties were assessed using SwissADME and ProTox-II online tools. Ligands <b>L6</b> and <b>L7</b> exhibited high bioavailability and drug-likeness compared to favipiravir. Subsequently, all new analogs were docked into the RdRp active site using AutoDock Vina, demonstrating high affinity compared to favipiravir. Based on optimal ADMET profiles and docking scores, ligands <b>L4</b>, <b>L6</b>, and <b>L7</b> underwent 200 ns MDS using the CHAARM 36 force field in NAMD software to validate docking results. Various trajectory analyses, including RMSD, RMSF, histograms, total number of contacts, and ligand properties, were conducted to gain insights into the interaction patterns between ligands and RdRp. All protein-ligand complexes exhibited greater stability than favipiravir throughout simulations period. This theoretical study suggests that ligands <b>L6</b> and <b>L7</b> could serve as lead candidates for RdRp inhibition. Cell-Based SARS-CoV-2 RdRp Activity Assay is recommended to validate these <i>in silico</i> findings.

HeliyonVol. 10(19)
University of Liverpool (GB), Universidade Federal de Pelotas (BR), Islamia College University (PK), Khyber Medical University (PK), King Saud University (SA), University of Malakand (PK)
King Saud University
Openalex Percentile: Top 27%
SARS-CoV-2 and COVID-19 Research
0.78
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.