Open AccessModern Paradigm Towards Potential Target Identification for Antiviral (SARS-nCoV-2) and Anticancer Lipopeptides: A Pharmacophore-Based Approach
Author(s) -
Manisha Yadav,
J. Satya Eswari
Publication year - 2022
Publication title -
avicenna journal of medical biotechnology.
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.399
H-Index - 22
eISSN - 2008-4625
pISSN - 2008-2835
DOI - 10.18502/ajmb.v14i1.8172
Subject(s) - lipopeptide , pharmacophore , computational biology , surfactin , drug discovery , proteases , virtual screening , drug , biopharmaceutical , biology , chemistry , bacillus subtilis , bioinformatics , biochemistry , pharmacology , enzyme , bacteria , microbiology and biotechnology , genetics
Lipopeptides are potential microbial metabolites that are abandoned with broad spectrum biopharmaceutical properties ranging from antimicrobial, antiviral and anticancer, etc . Clinical studies are not much explored beyond the experimental methods to understand drug mechanisms on target proteins at the molecular level for large molecules. Due to the less available studies on potential target proteins of lipopeptide based drugs, their potential inhibitory role for more obvious treatment on disease have not been explored in the direction of lead optimization. However, Computational approaches need to be utilized to explore drug discovery aspects on lipopeptide based drugs, which are time saving and cost-effective techniques.