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  4. Computer-aided drug design: An overview
 
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Computer-aided drug design: An overview

Source
Cheminformatics QSAR and Machine Learning Applications for Novel Drug Development
Date Issued
2023-01-01
Author(s)
Geronikaki, Athina
Dubey, Gurudutt
Petrou, Anthi
Kirubakaran, Sivapriya  
DOI
10.1016/B978-0-443-18638-7.00024-4
Abstract
Computer-aided drug discovery (CADD) methods have substantially assisted in producing therapeutically important small compounds for over three decades. These techniques can be categorized as structure-based or ligand-based. In theory, high-throughput screening and structure-based approaches are similar. De novo ligand design, molecular docking, and molecular dynamic simulations are examples of structure-based techniques. The theory behind the most effective techniques and current productive implementations are explained in this chapter. The ligand information is used in ligand-based techniques to predict activity based on how closely related or different a ligand is from known active ligands. We have discussed popular ligand-based techniques such as quantitative structure-activity correlations and molecular descriptors, structure-based drug design, and a few significant case studies that successfully implemented the CADD.
Unpaywall
URI
https://d8.irins.org/handle/IITG2025/26998
Subjects
Computer-aided drug design | Drug discovery | Molecular docking | Molecular dynamics | Structure-based drug design
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