Literature DB >> 33604432

Data set of competitive and allosteric protein kinase inhibitors confirmed by X-ray crystallography.

Huabin Hu1, Oliver Laufkötter1, Filip Miljković1, Jürgen Bajorath1.   

Abstract

A data set was generated comprising currently available competitive and allosteric human protein kinase inhibitors confirmed by X-ray crystallography. This data set has been used to systematically explore structural relationships between these types of inhibitors with different mechanisms of action. A major finding of this study has been that these different inhibitor types frequently displayed structural relationships and essentially represented a structural continuum [1]. Use of the data set is not limited to the inhibitor-centric exploration of structural relationships. The collection of kinase inhibitors with structurally confirmed distinct mechanisms of action can also be used, for example, to aid in structure-based drug design or the search for new allosteric kinase inhibitors.
© 2021 The Author(s). Published by Elsevier Inc.

Entities:  

Keywords:  ATP competitive inhibitors; Allosteric mechanism of action; Protein kinase inhibitors; Target annotations; X-ray structures

Year:  2021        PMID: 33604432      PMCID: PMC7873384          DOI: 10.1016/j.dib.2021.106816

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


  7 in total

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Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  KLIFS: a knowledge-based structural database to navigate kinase-ligand interaction space.

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Journal:  J Med Chem       Date:  2013-09-20       Impact factor: 7.446

3.  Systematic comparison of competitive and allosteric kinase inhibitors reveals common structural characteristics.

Authors:  Huabin Hu; Oliver Laufkötter; Filip Miljković; Jürgen Bajorath
Journal:  Eur J Med Chem       Date:  2021-01-24       Impact factor: 6.514

Review 4.  Privileged scaffolds for library design and drug discovery.

Authors:  Matthew E Welsch; Scott A Snyder; Brent R Stockwell
Journal:  Curr Opin Chem Biol       Date:  2010-03-18       Impact factor: 8.822

5.  ASD: a comprehensive database of allosteric proteins and modulators.

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Journal:  Nucleic Acids Res       Date:  2010-11-04       Impact factor: 16.971

6.  The ChEMBL database in 2017.

Authors:  Anna Gaulton; Anne Hersey; Michał Nowotka; A Patrícia Bento; Jon Chambers; David Mendez; Prudence Mutowo; Francis Atkinson; Louisa J Bellis; Elena Cibrián-Uhalte; Mark Davies; Nathan Dedman; Anneli Karlsson; María Paula Magariños; John P Overington; George Papadatos; Ines Smit; Andrew R Leach
Journal:  Nucleic Acids Res       Date:  2016-11-28       Impact factor: 16.971

7.  UniProt: a worldwide hub of protein knowledge.

Authors: 
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

  7 in total
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1.  Interpretable Machine Learning Models for Molecular Design of Tyrosine Kinase Inhibitors Using Variational Autoencoders and Perturbation-Based Approach of Chemical Space Exploration.

Authors:  Keerthi Krishnan; Ryan Kassab; Steve Agajanian; Gennady Verkhivker
Journal:  Int J Mol Sci       Date:  2022-09-24       Impact factor: 6.208

  1 in total

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