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VIRTUAL SCREENING STATEGIES IN DRUG DISCOVERY – A BRIEF OVERVIEW
Author(s) -
Quan Minh Pham,
Quoc Long Pham
Publication year - 2021
Publication title -
vietnam journal of science and technology/science and technology
Language(s) - English
Resource type - Journals
eISSN - 2815-5874
pISSN - 2525-2518
DOI - 10.15625/2525-2518/59/4/16003
Subject(s) - virtual screening , identification (biology) , computer science , drug discovery , process (computing) , data science , drug , risk analysis (engineering) , management science , engineering , bioinformatics , medicine , pharmacology , biology , botany , operating system
Computer-aided drug design has now become a compulsory tool in the drug discovery and development process which uses computational approaches to discover potential compounds with expected biological activities. Firstly, this review provides a comprehensive introduction of the virtual screening technique, knowledge and advances in both SBVS and LBVS strategies also presented. Secondly, recent database of compounds provided worldwide and drug-like parameters which are helpful in supporting the VS process will be discussed. These information will provides a good platform to estimate the advance of applying these techniques in the new drug-lead identification and optimization.

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