
Computational hunting of natural active compounds as an alternative for Remdesivir to target RNA-dependent polymerase
Author(s) -
Mοhd Saeed,
Amir Saeed,
Md. Jahoor Alam,
Mousa Alreshidi
Publication year - 2021
Publication title -
cellular and molecular biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 71
eISSN - 1165-158X
pISSN - 0145-5680
DOI - 10.14715/cmb/2021.67.1.7
Subject(s) - druggability , virtual screening , rna polymerase , rna dependent rna polymerase , polymerase , rna , enzyme , transcription (linguistics) , biology , drug discovery , docking (animal) , chemistry , virology , computational biology , biochemistry , gene , medicine , linguistics , philosophy , nursing
The hunt for potential lead/drug molecules from different resources, especially from natural resources, for possible treatment of COVID-19 is ongoing. Several compounds have already been identified, but only a few are good enough to show potential against the virus. Among the identified druggable target proteins of SARS-CoV-2, this study focuses on non-structural RNA-dependent RNA polymerase protein (RdRp), a well-known enzyme for both viral genome replication and viral mRNA synthesis, and is therefore considered to be the primary target. In this study, the virtual screening followed by an in-depth docking study of the Compounds Library found that natural compound Cyclocurcumin and Silybin B have strong interaction with RdRp and much better than the remdesivir with free binding energy and inhibition constant value as ꞌ-6.29 kcal/mol and 58.39 µMꞌ, and ꞌ-7.93kcal/mol and 45.3 µMꞌ, respectively. The finding indicated that the selected hits (Cyclocurcumin and Silybin B) could act as non-nucleotide anti-polymerase agents, and can be further optimized as a potential inhibitor of RdRp by benchwork experiments.