A molecular modeling approach to identify effective antiviral phytochemicals against the main protease of SARS-CoV-2

Rajib IslamDivision of Computer Aided Drug Design, The Red-Green Research Centre, BICCB, Dhaka, Bangladesh;

Md. Rimon ParvesDivision of Computer Aided Drug Design, The Red-Green Research Centre, BICCB, Dhaka, Bangladesh;

Archi Sundar PaulDivision of Computer Aided Drug Design, The Red-Green Research Centre, BICCB, Dhaka, Bangladesh;

Nizam UddinDivision of Computer Aided Drug Design, The Red-Green Research Centre, BICCB, Dhaka, Bangladesh; ;Department of Chemistry and Biochemistry, South Dakota State University, Brookings, SD, USA;

Md. Sajjadur RahmanDivision of Computer Aided Drug Design, The Red-Green Research Centre, BICCB, Dhaka, Bangladesh; ;Department of Chemistry and Biochemistry, South Dakota State University, Brookings, SD, USA;

Abdulla Al MamunKey Laboratory of Soft Chemistry and Functional Materials of MOE, School of Chemical Engineering, Nanjing University of Science and Technology, Nanjing, China;

Md. Nayeem HossainDivision of Computer Aided Drug Design, The Red-Green Research Centre, BICCB, Dhaka, Bangladesh;

Md. Ackas AliDivision of Computer Aided Drug Design, The Red-Green Research Centre, BICCB, Dhaka, Bangladesh;

Mohammad A. HalimDivision of Computer Aided Drug Design, The Red-Green Research Centre, BICCB, Dhaka, Bangladesh; ;Department of Physical Sciences, University of Arkansas-Fort Smith, Fort Smith, AR, USACorrespondence[email protected]

http://orcid.org/0000-0002-1698-7044

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A molecular modeling approach to identify effective antiviral phytochemicals against the main protease of SARS-CoV-2

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A molecular modeling approach to identify effective antiviral phytochemicals against the main protease of SARS-CoV-2

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