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Title: Merging Ligand-Based and Structure-Based Methods in Drug Discovery: An Overview of Combined Virtual Screening Approaches
Author: Vázquez, Javier
López, Manel
Gibert, Enric
Herrero, Enric
Luque Garriga, F. Xavier
Keywords: Disseny de medicaments
Lligands (Bioquímica)
Compostos heterocíclics
Química farmacèutica
Drug design
Ligands (Biochemistry)
Heterocyclic compounds
Pharmaceutical chemistry
Issue Date: 15-Oct-2020
Publisher: MDPI
Abstract: Virtual screening (VS) is an outstanding cornerstone in the drug discovery pipeline. A variety of computational approaches, which are generally classified as ligand-based (LB) and structure-based (SB) techniques, exploit key structural and physicochemical properties of ligands and targets to enable the screening of virtual libraries in the search of active compounds. Though LB and SB methods have found widespread application in the discovery of novel drug-like candidates, their complementary natures have stimulated continued e orts toward the development of hybrid strategies that combine LB and SB techniques, integrating them in a holistic computational framework that exploits the available information of both ligand and target to enhance the success of drug discovery projects. In this review, we analyze the main strategies and concepts that have emerged in the last years for defining hybrid LB + SB computational schemes in VS studies. Particularly, attention is focused on the combination of molecular similarity and docking, illustrating them with selected applications taken from the literature.
Note: Reproducció del document publicat a:
It is part of: Molecules, 2020, vol. 25, p. 4723
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ISSN: 1420-3049
Appears in Collections:Articles publicats en revistes (Nutrició, Ciències de l'Alimentació i Gastronomia)

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