Literature DB >> 19217394

Comprehensive structural classification of ligand-binding motifs in proteins.

Akira R Kinjo1, Haruki Nakamura.   

Abstract

Comprehensive knowledge of protein-ligand interactions should provide a useful basis for annotating protein functions, studying protein evolution, engineering enzymatic activity, and designing drugs. To investigate the diversity and universality of ligand-binding sites in protein structures, we conducted the all-against-all atomic-level structural comparison of over 180,000 ligand-binding sites found in all the known structures in the Protein Data Bank by using a recently developed database search and alignment algorithm. By applying a hybrid top-down-bottom-up clustering analysis to the comparison results, we determined approximately 3000 well-defined structural motifs of ligand-binding sites. Apart from a handful of exceptions, most structural motifs were found to be confined within single families or superfamilies, and to be associated with particular ligands. Furthermore, we analyzed the components of the similarity network and enumerated more than 4000 pairs of structural motifs that were shared across different protein folds.

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Year:  2009        PMID: 19217394     DOI: 10.1016/j.str.2008.11.009

Source DB:  PubMed          Journal:  Structure        ISSN: 0969-2126            Impact factor:   5.006


  24 in total

1.  Prediction of ligand-binding sites of proteins by molecular docking calculation for a random ligand library.

Authors:  Yoshifumi Fukunishi; Haruki Nakamura
Journal:  Protein Sci       Date:  2011-01       Impact factor: 6.725

2.  Protein Data Bank Japan (PDBj): an interview with Haruki Nakamura of Osaka University by Wendy A. Warr.

Authors:  Haruki Nakamura
Journal:  J Comput Aided Mol Des       Date:  2011-07-28       Impact factor: 3.686

3.  Many InChIs and quite some feat.

Authors:  Wendy A Warr
Journal:  J Comput Aided Mol Des       Date:  2015-06-17       Impact factor: 3.686

4.  Protein pockets: inventory, shape, and comparison.

Authors:  Ryan G Coleman; Kim A Sharp
Journal:  J Chem Inf Model       Date:  2010-04-26       Impact factor: 4.956

5.  The pimeloyl-CoA synthetase BioW defines a new fold for adenylate-forming enzymes.

Authors:  Paola Estrada; Miglena Manandhar; Shi-Hui Dong; Jaigeeth Deveryshetty; Vinayak Agarwal; John E Cronan; Satish K Nair
Journal:  Nat Chem Biol       Date:  2017-04-17       Impact factor: 15.040

6.  Analysis of substructural variation in families of enzymatic proteins with applications to protein function prediction.

Authors:  Drew H Bryant; Mark Moll; Brian Y Chen; Viacheslav Y Fofanov; Lydia E Kavraki
Journal:  BMC Bioinformatics       Date:  2010-05-11       Impact factor: 3.169

7.  Considerations of Protein Subpockets in Fragment-Based Drug Design.

Authors:  Matthew Bartolowits; V Jo Davisson
Journal:  Chem Biol Drug Des       Date:  2015-08-31       Impact factor: 2.817

8.  SPRITE and ASSAM: web servers for side chain 3D-motif searching in protein structures.

Authors:  Nurul Nadzirin; Eleanor J Gardiner; Peter Willett; Peter J Artymiuk; Mohd Firdaus-Raih
Journal:  Nucleic Acids Res       Date:  2012-05-09       Impact factor: 16.971

9.  IMAAAGINE: a webserver for searching hypothetical 3D amino acid side chain arrangements in the Protein Data Bank.

Authors:  Nurul Nadzirin; Peter Willett; Peter J Artymiuk; Mohd Firdaus-Raih
Journal:  Nucleic Acids Res       Date:  2013-05-28       Impact factor: 16.971

10.  MICAN: a protein structure alignment algorithm that can handle Multiple-chains, Inverse alignments, C(α) only models, Alternative alignments, and Non-sequential alignments.

Authors:  Shintaro Minami; Kengo Sawada; George Chikenji
Journal:  BMC Bioinformatics       Date:  2013-01-18       Impact factor: 3.169

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