A comparative study of 5-fluorouracil, doxorubicin, methotrexate, paclitaxel for their inhibition ability for Mpro of nCoV: Molecular docking and molecular dynamics simulations

被引:16
作者
Singh, Madhur Babu [1 ,4 ]
Vishvakarma, Vijay Kumar [1 ,4 ]
Lal, Aditya Aryan [2 ]
Chandra, Ramesh [3 ]
Jain, Pallavi [4 ]
Singh, Prashant [1 ]
机构
[1] Univ Delhi, Atma Ram Sanatan Dharma Coll, Dept Chem, Delhi, India
[2] Univ Delhi, Hansraj Coll, Dept Phys & Elect, Delhi, India
[3] Univ Delhi, Dept Chem, Delhi, India
[4] SRM Inst Sci & Technol, Fac Engn & Technol, Dept Chem, NCR Campus, Delhi, Uttar Pradesh, India
关键词
Mpro of nCoV; Molecular dynamics simulations; Molecular docking; ADME properties; Repurposing drugs; GASTROINTESTINAL TRANSIT; DRUG DISCOVERY; FORCE-FIELD; PREDICTION; COVID-19; DESIGN; PATHOPHYSIOLOGY; BIOAVAILABILITY; MECHANISMS; EXPRESSION;
D O I
10.1016/j.jics.2022.100790
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The new corona virus (nCoV) is aetiological agent responsible for the viral pneumonia epidemic. Three is no specific therapeutic medicines available for the treatment of this condition and also effective treatment choices are few. In this work, authors tried to investigate few potential of repurposing drugs (5- fluorouracil, doxorubicin, methotrexate and paclitaxel) against the main protease (Mpro) of nCoV by the computational tools. Molecular docking was performed to screen out the best compound and doxorubicin was found to have minimum binding energy -121.89 kcal/mol. To further study, molecular dynamics (MD) simulations were performed at 300 K and the result successfully corroborate the energy obtained by molecular docking. Further, temperature dependent MD simulations of the best molecule, that is, doxorubicin based on results of docking, was performed to check the variation in structural changes in Mpro of nCoV at 290 K, 310 K, 320 K and 325 K. It is found that doxorubicin binds effectively with Mpro of nCoV at 290 K. Further, ADME properties of the 5- fluorouracil, doxorubicin, methotrexate and paclitaxel were also evaluated to understand the bioavailability.
引用
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页数:9
相关论文
共 68 条
[1]   Gromacs: High performance molecular simulations through multi-level parallelism from laptops to supercomputers [J].
Abraham, Mark James ;
Murtola, Teemu ;
Schulz, Roland ;
Páll, Szilárd ;
Smith, Jeremy C. ;
Hess, Berk ;
Lindah, Erik .
SoftwareX, 2015, 1-2 :19-25
[2]   Chemical-informatics approach to COVID-19 drug discovery: Monte Carlo based QSAR, virtual screening and molecular docking study of somein-housemolecules as papain-like protease (PLpro) inhibitors [J].
Amin, Sk. Abdul ;
Ghosh, Kalyan ;
Gayen, Shovanlal ;
Jha, Tarun .
JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2021, 39 (13) :4764-4773
[3]   Advances in the computational landscape for repurposed drugs against COVID-19 [J].
Aronskyy, Illya ;
Masoudi-Sobhanzadeh, Yosef ;
Cappuccio, Antonio ;
Zaslavsky, Elena .
DRUG DISCOVERY TODAY, 2021, 26 (12) :2800-2815
[4]   COVID-19: pathophysiology, diagnosis, complications and investigational therapeutics [J].
Azer, S. A. .
NEW MICROBES AND NEW INFECTIONS, 2020, 37
[5]   Differential effects of doxorubicin treatment on cell cycle arrest and Skp2 expression in breast cancer cells [J].
Bar-On, Ortal ;
Shapira, Ma'anit ;
Hershko, Dan D. .
ANTI-CANCER DRUGS, 2007, 18 (10) :1113-1121
[6]  
Bekker H., 1993, GROMACS - A Parallel Computer for Molecular-Dynamics Simulations, P252
[7]   A practical guide to large-scale docking [J].
Bender, Brian J. ;
Gahbauer, Stefan ;
Luttens, Andreas ;
Lyu, Jiankun ;
Webb, Chase M. ;
Stein, Reed M. ;
Fink, Elissa A. ;
Balius, Trent E. ;
Carlsson, Jens ;
Irwin, John J. ;
Shoichet, Brian K. .
NATURE PROTOCOLS, 2021, 16 (10) :4799-4832
[8]   Paclitaxel: What has been done and the challenges remain ahead [J].
Bernabeu, Ezequiel ;
Cagel, Maximiliano ;
Lagomarsino, Eduardo ;
Moretton, Marcela ;
Chiappetta, Diego A. .
INTERNATIONAL JOURNAL OF PHARMACEUTICS, 2017, 526 (1-2) :474-495
[9]   Implementation of the CHARMM Force Field in GROMACS: Analysis of Protein Stability Effects from Correction Maps, Virtual Interaction Sites, and Water Models [J].
Bjelkmar, Par ;
Larsson, Per ;
Cuendet, Michel A. ;
Hess, Berk ;
Lindahl, Erik .
JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 2010, 6 (02) :459-466
[10]   Pathophysiology of COVID-19: Mechanisms Underlying Disease Severity and Progression [J].
Bohn, Mary Kathryn ;
Hall, Alexandra ;
Sepiashvili, Lusia ;
Jung, Benjamin ;
Steele, Shannon ;
Adeli, Khosrow .
PHYSIOLOGY, 2020, 35 (05) :288-301