GC-MS analysis of phytoconstituents from Ruellia prostrata and Senna tora and identification of potential anti-viral activity against SARS-CoV-2

被引:25
作者
Alam, Rahat [1 ,2 ]
Imon, Raihan Rahman [1 ,2 ]
Talukder, Md Enamul Kabir [1 ,2 ]
Akhter, Shahina [2 ,3 ]
Hossain, Md Alam [4 ]
Ahammad, Foysal [2 ,5 ]
Rahman, Md Mashiar [1 ]
机构
[1] Jashore Univ Sci & Technol, Dept Genet Engn & Biotechnol, Mol & Cellular Biol Lab, Jashore 7408, Bangladesh
[2] BioSol Ctr, Lab Computat Biol, Biol Solut Ctr, Jashore 7408, Bangladesh
[3] Univ Sci & Technol Chittagong USTC, Dept Biochem & Biotechnol, Khulshi 4202, Chittagong, Bangladesh
[4] Jashore Univ Sci & Technol, Dept Comp Sci & Engn, Jashore 7408, Bangladesh
[5] King Abdulaziz Univ, Fac Sci, Dept Biol, Jeddah 21589, Saudi Arabia
关键词
DRUG DISCOVERY; PROTEIN; COVID-19;
D O I
10.1039/d1ra06842c
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
SARS-CoV-2 is an etiologic agent responsible for the coronavirus disease 2019 (COVID-19) pandemic. The virus has rapidly extended globally and taken millions of lives due to the unavailability of therapeutics candidates against the virus. Till now, no specific drug candidates have been developed that can prevent or treat infections caused by the pathogen. The main protease (M-pro) of the SARS-CoV-2 plays a pivotal role in mediating viral replication and mechanistically inhibition of the protein can hinder the replication and infection process of the virus. Therefore, the study aimed to identify the natural bioactive compounds against the virus that can block the activity of the M-pro and subsequently block viral infections. Initially, a total of 96 phytochemicals from Ruellia prostrata Poir. and Senna tora (L.) Roxb. plants were identified through the gas chromatography-mass spectrometry (GC-MS) analytical method. Subsequently, the compounds were screened through molecular docking, absorption, distribution, metabolism, excretion (ADME), toxicity (T), and molecular dynamics (MD) simulation approach. The molecular docking method initially identified four molecules having a PubChem CID: 70825, CID: 25247358, CID: 54685836 and, CID: 1983 with a binding affinity ranging between -6.067 to -6.53 kcal mol(-1) to the active site of the target protein. All the selected compounds exhibit good pharmacokinetics and toxicity properties. Finally, the four compounds were further evaluated based on the MD simulation methods that confirmed the binding stability of the compounds to the targeted protein. The computational approaches identified the best four compounds CID: 70825, CID: 25247358, CID: 54685836 and, CID: 1983 that can be developed as a treatment option of SARS-CoV-2 disease-related complications. Although, experimental validation is suggested for further evaluation of the work.
引用
收藏
页码:40120 / 40135
页数:16
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