Novel adenosine derivatives against SARS-CoV-2 RNA-dependent RNA polymerase: an in silico perspective

被引:12
作者
Sonousi, Amr [1 ,2 ]
Mahran, Hanan A. [3 ]
Ibrahim, Ibrahim M. [3 ]
Ibrahim, Mohamed N. [4 ,5 ]
Elfiky, Abdo A. [3 ]
Elshemey, Wael M. [3 ,6 ]
机构
[1] Cairo Univ, Fac Pharm, Pharmaceut Organ Dept, Giza, Egypt
[2] Univ Hertfordshire, Global Acad Fdn, Cairo, Egypt
[3] Cairo Univ, Fac Sci, Biophys Dept, Giza, Egypt
[4] Jouf Univ, Coll Appl Med Sci, Clin Labs Dept, Sakakah, Saudi Arabia
[5] Ain Shams Univ, Fac Sci, Microbiol Dept, Cairo, Egypt
[6] Islamic Univ Madinah, Phys Dept, Fac Sci, Medina, Saudi Arabia
关键词
Remdesivir; Medicinal; SARS-CoV-2; Computational drug design; Nucleotide inhibitors; RdRp; MOLECULAR-DYNAMICS; SOFTWARE NEWS; INHIBITORS; DOCKING; BINDING; DRUGS; WATER; GUI;
D O I
10.1007/s43440-021-00300-9
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Background SARS-CoV-2 is a newly emerged human coronavirus that severely affected human health and the economy. The viral RNA-dependent RNA polymerase (RdRp) is a crucial protein target to stop virus replication. The adenosine derivative, remdesivir, was authorized for emergency use 10 months ago by the United States FDA against COVID-19 despite its doubtful efficacy against SARS-CoV-2. Methods A dozen modifications based on remdesivir are tested against SARS-CoV-2 RdRp using combined molecular docking and dynamics simulation in this work. Results The results reveal a better binding affinity of 11 modifications compared to remdesivir. Compounds 8, 9, 10, and 11 show the best binding affinities against SARS-CoV-2 RdRp conformations gathered during 100 ns of the Molecular Dynamics Simulation (MDS) run (- 8.13 +/- 0.45 kcal/mol, - 8.09 +/- 0.67 kcal/mol, - 8.09 +/- 0.64 kcal/mol, and - 8.07 +/- 0.73 kcal/mol, respectively). Conclusions The present study suggests these four compounds as potential SARS-CoV-2 RdRp inhibitors, which need to be validated experimentally.
引用
收藏
页码:1754 / 1764
页数:11
相关论文
共 46 条
[1]   Remdesivir as a possible therapeutic option for the COVID-19 [J].
Al-Tawfiq, Jaffar A. ;
Al-Homoud, Ali H. ;
Memish, Ziad A. .
TRAVEL MEDICINE AND INFECTIOUS DISEASE, 2020, 34
[2]   Announcing the worldwide Protein Data Bank [J].
Berman, H ;
Henrick, K ;
Nakamura, H .
NATURE STRUCTURAL BIOLOGY, 2003, 10 (12) :980-980
[3]   Application of the PM6 semi-empirical method to modeling proteins enhances docking accuracy of AutoDock [J].
Bikadi, Zsolt ;
Hazai, Eszter .
JOURNAL OF CHEMINFORMATICS, 2009, 1
[4]  
Case D.A., AMBER 2020
[5]  
Coulerie P, 2014, REC NAT PROD, V8, P286
[6]  
Di Lorenzo G, 2020, CRIT REV ONCOL HEMAT, V152, DOI [10.1016/j.critrevonc.2020.102901, 10.1016/j.critrevonc.2020.102991]
[7]   Parallel synthesis of 5-cyano-6-aryl-2-thiouracil derivatives as inhibitors for hepatitis C viral NS5B RNA-dependent RNA polymerase [J].
Ding, YL ;
Girardet, JL ;
Smith, KL ;
Larson, G ;
Prigaro, B ;
Wu, JZ ;
Yao, NH .
BIOORGANIC CHEMISTRY, 2006, 34 (01) :26-38
[8]   Molecular docking revealed the binding of nucleotide/side inhibitors to Zika viral polymerase solved structures [J].
Elfiky, A. A. ;
Ismail, A. M. .
SAR AND QSAR IN ENVIRONMENTAL RESEARCH, 2018, 29 (05) :409-418
[9]   The anti-HCV, Sofosbuvir, versus the anti-EBOV Remdesivir against SARS-CoV-2 RNA dependent RNA polymerase in silico [J].
Elfiky, Abdo A. ;
Azzam, Eman B. ;
Shafaa, Medhat W. .
MOLECULAR DIVERSITY, 2022, 26 (01) :171-181
[10]   Zika virus envelope - heat shock protein A5 (GRP78) binding site prediction [J].
Elfiky, Abdo A. ;
Ibrahim, Ibrahim M. .
JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2021, 39 (14) :5248-5260