Literature DB >> 15341488

CORES: an automated method for generating three-dimensional models of protein/ligand complexes.

Brian J Hare1, W Patrick Walters, Paul R Caron, Guy W Bemis.   

Abstract

We describe a new, automated method for building 3D models of small-molecule ligands complexed with proteins. Modeling templates are constructed from frameworks (i.e., ring systems and linkers) of ligands extracted from 3D structures of ligands complexed with proteins that are structurally related to the target protein. These templates are typically substructures of the target ligand and are used to build models that constrain the ligand's conformation and binding orientation in the active site of the target protein. The practical utility of the method is shown by demonstrating that most ligands containing related frameworks bind protein kinases in the same orientation. Moreover, models for 15 of 19 cdk2/ligand complexes in the protein data bank built using our method deviate from the X-ray structure by less than 2 A (rms). Finally, we show that over 70% of small-molecule protein kinase inhibitors published in J. Med. Chem. since 1993 can be modeled using a template extracted from a 3D protein kinase structure in the protein data bank.

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Year:  2004        PMID: 15341488     DOI: 10.1021/jm0499054

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  6 in total

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2.  Identification of ligand templates using local structure alignment for structure-based drug design.

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Journal:  J Chem Inf Model       Date:  2012-09-28       Impact factor: 4.956

3.  Molecular shape and medicinal chemistry: a perspective.

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Journal:  J Med Chem       Date:  2010-05-27       Impact factor: 7.446

4.  kinDOCK: a tool for comparative docking of protein kinase ligands.

Authors:  Laetitia Martin; Vincent Catherinot; Gilles Labesse
Journal:  Nucleic Acids Res       Date:  2006-07-01       Impact factor: 16.971

5.  FINDSITE: a threading-based approach to ligand homology modeling.

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Journal:  PLoS Comput Biol       Date:  2009-06-05       Impact factor: 4.475

6.  On the Value of Using 3D Shape and Electrostatic Similarities in Deep Generative Methods.

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Journal:  J Chem Inf Model       Date:  2022-03-10       Impact factor: 4.956

  6 in total

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