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Strategies of Virtual Screening in Medicinal Chemistry
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Author(s): Giovanna Ilaria Passeri (Molecular Discovery Ltd., UK), Daniela Trisciuzzi (Università degli Studi di Bari “Aldo Moro”, Italy), Domenico Alberga (Università degli Studi di Bari “Aldo Moro”, Italy), Lydia Siragusa (Molecular Discovery Ltd., UK), Francesco Leonetti (Università degli Studi di Bari “Aldo Moro”, Italy), Giuseppe F. Mangiatordi (Università degli Studi di Bari “Aldo Moro”, Italy)and Orazio Nicolotti (University of Bari, Italy)
Copyright: 2020
Pages: 32
Source title:
Data Analytics in Medicine: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-7998-1204-3.ch011
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Abstract
Virtual screening represents an effective computational strategy to rise-up the chances of finding new bioactive compounds by accelerating the time needed to move from an initial intuition to market. Classically, the most pursued approaches rely on ligand- and structure-based studies, the former employed when structural data information about the target is missing while the latter employed when X-ray/NMR solved or homology models are instead available for the target. The authors will focus on the most advanced techniques applied in this area. In particular, they will survey the key concepts of virtual screening by discussing how to properly select chemical libraries, how to make database curation, how to applying and- and structure-based techniques, how to wisely use post-processing methods. Emphasis will be also given to the most meaningful databases used in VS protocols. For the ease of discussion several examples will be presented.
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