Structure-based screening of natural product libraries in search of potential antiviral drug-leads as first-line treatment to COVID-19 infection

被引:12
|
作者
Rao, S. J. Aditya [1 ]
Shetty, Nandini P. [1 ]
机构
[1] Cent Food Technol Res Inst, Plant Cell Biotechnol Dept, CSIR, Mysore 570020, Karnataka, India
关键词
Drug design; Synthetic drugs; Structural diversity; SARS-CoV-2; Medicinal chemistry; MOLECULAR-DYNAMICS SIMULATIONS; BIG DATA; DOCKING; PERMEABILITY; PREDICTION; MANAGEMENT; INHIBITORS; TOOL;
D O I
10.1016/j.micpath.2022.105497
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
The study focuses on identifying and screening natural products (NPs) based on their structural similarities with chemical drugs followed by their possible use in first-line treatment to COVID-19 infection. In the present study, the in-house natural product libraries, consisting of 26,311 structures, were screened against potential targets of SARS-CoV-2 based on their structural similarities with the prescribed chemical drugs. The comparison was based on molecular properties, 2 and 3-dimensional structural similarities, activity cliffs, and core fragments of NPs with chemical drugs. The screened NPs were evaluated for their therapeutic effects based on their predicted insilico pharmacokinetic and pharmacodynamics properties, binding interactions with the appropriate targets, and structural stability of the bound complex using molecular dynamics simulations. The study yielded NPs with significant structural similarities to synthetic drugs currently used to treat COVID-19 infections. The study proposes the probable biological action of the selected NPs as Anti-retroviral protease inhibitors, RNA-dependent RNA polymerase inhibitors, and viral entry inhibitors.
引用
收藏
页数:18
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