Literature DB >> 23082974

Binding site detection and druggability prediction of protein targets for structure-based drug design.

Yaxia Yuan1, Jianfeng Pei, Luhua Lai.   

Abstract

Assessing whether a protein structure is a good target or not before actually doing structure-based drug design on it is an important step to speed up the ligand discovery process. This is known as the "druggability" or "ligandability" assessment problem that has attracted increasing interest in recent years. The assessment typically includes the detection of ligand-binding sites on the protein surface and the prediction of their abilities to bind drug-like small molecules. A brief summary of the established methods of binding sites detection and druggability(ligandability) prediction, as well as a detailed description of the CAVITY approach developed in the authors' group was given. CAVITY showed good performance on ligand-binding site detection, and was successfully used to predict both the ligandabilities and druggabilities of the detected binding sites.

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Year:  2013        PMID: 23082974     DOI: 10.2174/1381612811319120019

Source DB:  PubMed          Journal:  Curr Pharm Des        ISSN: 1381-6128            Impact factor:   3.116


  32 in total

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Review 2.  Computational Advances for the Development of Allosteric Modulators and Bitopic Ligands in G Protein-Coupled Receptors.

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Journal:  Protein Sci       Date:  2015-02-24       Impact factor: 6.725

4.  Binding site characterization - similarity, promiscuity, and druggability.

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Journal:  Medchemcomm       Date:  2019-06-06       Impact factor: 3.597

Review 5.  An overview of recent molecular dynamics applications as medicinal chemistry tools for the undruggable site challenge.

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Journal:  Medchemcomm       Date:  2018-04-19       Impact factor: 3.597

6.  PharmMapper 2017 update: a web server for potential drug target identification with a comprehensive target pharmacophore database.

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Journal:  J Mol Model       Date:  2018-07-28       Impact factor: 1.810

8.  A novel allosteric inhibitor that prevents IKKβ activation.

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Journal:  Medchemcomm       Date:  2018-01-09       Impact factor: 3.597

9.  RAS-inhibiting biologics identify and probe druggable pockets including an SII-α3 allosteric site.

Authors:  Katarzyna Z Haza; Heather L Martin; Ajinkya Rao; Amy L Turner; Sophie E Saunders; Britta Petersen; Christian Tiede; Kevin Tipping; Anna A Tang; Modupe Ajayi; Thomas Taylor; Maia Harvey; Keri M Fishwick; Thomas L Adams; Thembaninkosi G Gaule; Chi H Trinh; Matthew Johnson; Alexander L Breeze; Thomas A Edwards; Michael J McPherson; Darren C Tomlinson
Journal:  Nat Commun       Date:  2021-06-30       Impact factor: 14.919

10.  Computational strategy for intrinsically disordered protein ligand design leads to the discovery of p53 transactivation domain I binding compounds that activate the p53 pathway.

Authors:  Hao Ruan; Chen Yu; Xiaogang Niu; Weilin Zhang; Hanzhong Liu; Limin Chen; Ruoyao Xiong; Qi Sun; Changwen Jin; Ying Liu; Luhua Lai
Journal:  Chem Sci       Date:  2020-12-28       Impact factor: 9.825

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