Molecular docking, validation, dynamics simulations, and pharmacokinetic prediction of natural compounds against the SARS-CoV-2 main-protease-Reference-Cited by-同舟云学术

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Molecular docking, validation, dynamics simulations, and pharmacokinetic prediction of natural compounds against the SARS-CoV-2 main-protease

Published:2020-09-08 Issue:2 Volume:40 Page:585-611
ISSN:0739-1102
Container-title:Journal of Biomolecular Structure and Dynamics
language:en
Short-container-title:Journal of Biomolecular Structure and Dynamics

Author:

C Shivanika¹,S. Deepak Kumar²,Ragunathan Venkataraghavan³^ORCID,Tiwari Pawan⁴,A. Sumitha⁵,P Brindha Devi¹

Affiliation:

1. Department of Bio-Engineering, School of Engineering, Vels Institute of Science Technology and Advanced Studies, Chennai, Tamil Nadu, India

2. Department of Biotechnology, Rajalakshmi Engineering College, Thandalam, Tamil Nadu, India

3. Department of Chemical Engineering, Alagappa College of Technology, Anna University, Chennai, Tamil Nadu, India

4. Department of Pharmaceutical Science, Kumaun University, Nainital, Uttarakhand, India

5. Department of Pharmacology, ACS Medical College and Hospital, Chennai, Tamil Nadu, India

Publisher

Informa UK Limited

Subject

Molecular Biology,General Medicine,Structural Biology

Link

https://www.tandfonline.com/doi/pdf/10.1080/07391102.2020.1815584

Reference120 articles.

1. Structural insights into conformational stability of both wild-type and mutant EZH2 receptor

2. The proximal origin of SARS-CoV-2

3. Predicting commercially available antiviral drugs that may act on the novel coronavirus (SARS-CoV-2) through a drug-target interaction deep learning model

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