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Identification of a promising inhibitor from Illicium verum (star anise) against the main protease of SARS-CoV-2: insights from the computational study.
Tripathi, Manish Kumar; Singh, Pushpendra; Kumar, Mukesh; Sharma, Kuldeep; Singh, T P; Ethayathulla, A S; Kaur, Punit.
  • Tripathi MK; Department of Biophysics, All India Institute of Medical Sciences, New Delhi, India.
  • Singh P; State Virus Research and Diagnostic Laboratory, Department of Microbiology, All India Institute of Medical Sciences, Raipur, India.
  • Kumar M; Department of Biophysics, All India Institute of Medical Sciences, New Delhi, India.
  • Sharma K; State Virus Research and Diagnostic Laboratory, Department of Microbiology, All India Institute of Medical Sciences, Raipur, India.
  • Singh TP; Department of Biophysics, All India Institute of Medical Sciences, New Delhi, India.
  • Ethayathulla AS; Department of Biophysics, All India Institute of Medical Sciences, New Delhi, India.
  • Kaur P; Department of Biophysics, All India Institute of Medical Sciences, New Delhi, India.
J Biomol Struct Dyn ; : 1-17, 2022 Aug 18.
Article in English | MEDLINE | ID: covidwho-1991833
ABSTRACT
SARS-CoV-2, the causing agent of coronavirus disease (COVID-19), first broke out in Wuhan and rapidly spread worldwide, resulting in a global health emergency. The lack of specific drugs against the coronavirus has made its spread challenging to control. The main protease (Mpro) is a key enzyme of SARS-CoV-2 used as a key target in drug discovery against the coronavirus. Medicines derived from plant phytoconstituents have been widely exploited to treat various diseases. The present study has evaluated the potential of Illicium verum (star anise) phytoconstituents against Mpro by implementing a computational approach. We performed molecular docking and molecular dynamics simulation study with a set of 60 compounds to identify their potential to inhibit the main protease (Mpro) of SARS-CoV-2. DFT study and post dynamics free energy calculations were also performed to strengthen the findings. The identified four compounds by docking study exhibited the highest potential compared to other selected phytoconstituents. Further, density functional theory (DFT) calculation, molecular dynamics simulation and post dynamics MM-GBSA energy calculation predicted Verimol-G as a potential compound, which formed stable interactions through the catalytic dyad residues. The HOMO orbital energy (-0.250038) from DFT and the post dynamics binding free energy calculation (-73.33 Kcal/mol) correlate, suggesting Verimol-G is the best inhibitor compared to the other phytoconstituents. This compound also complies with the ADME properties of drug likeliness. Thus, based on a computational study, we suggest that Verimol G may be developed as a potential inhibitor against the main protease to combat COVID-19.Communicated by Ramaswamy H. Sarma.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study Language: English Journal: J Biomol Struct Dyn Year: 2022 Document Type: Article Affiliation country: 07391102.2022.2112621

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study Language: English Journal: J Biomol Struct Dyn Year: 2022 Document Type: Article Affiliation country: 07391102.2022.2112621