Literature DB >> 21196231

Theoretical and computational approaches to ligand-based drug discovery.

Angelo D Favia1.   

Abstract

The basic idea behind ligand-based approaches is that the analysis of sets of molecules with experimentally determined activities can highlight those chemical features responsible for the activity changes. Historically, such approaches have been devised before structure-based methods. Nowadays, despite the ever increasing availability of experimentally determined structures, ligand-based approaches still play a major role in drug design either alone or in conjunction with structure-based efforts. This manuscript aims to provide a general overview of the main computational approaches in ligand-based drug discovery, particularly 3D QSAR methods, along with relevant references to the literature.

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Year:  2011        PMID: 21196231     DOI: 10.2741/3788

Source DB:  PubMed          Journal:  Front Biosci (Landmark Ed)        ISSN: 2768-6698


  3 in total

Review 1.  Trends in application of advancing computational approaches in GPCR ligand discovery.

Authors:  Siyu Zhu; Meixian Wu; Ziwei Huang; Jing An
Journal:  Exp Biol Med (Maywood)       Date:  2021-02-27

2.  Drug candidate identification based on gene expression of treated cells using tensor decomposition-based unsupervised feature extraction for large-scale data.

Authors:  Y-H Taguchi
Journal:  BMC Bioinformatics       Date:  2019-02-04       Impact factor: 3.169

3.  Identification of candidate drugs using tensor-decomposition-based unsupervised feature extraction in integrated analysis of gene expression between diseases and DrugMatrix datasets.

Authors:  Y-H Taguchi
Journal:  Sci Rep       Date:  2017-10-23       Impact factor: 4.379

  3 in total

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