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  • Poster presentation
  • Open Access

Efficient mining of protein kinase structural data

  • 1Email author,
  • 1,
  • 2,
  • 2 and
  • 2
Journal of Cheminformatics20135 (Suppl 1) :P16

https://doi.org/10.1186/1758-2946-5-S1-P16

  • Published:

Keywords

  • Protein Kinase
  • Structural Data
  • Human Protein
  • Curated Reference
  • Efficient Mining

Here, we introduce an aligned database of protein kinase structures that can be efficiently explored by sequence, structure, or by ATP pocket ligand (type or similarity). We also discuss an automated protocol for kinase identification, classification and superposition that relies on a curated reference set of structures and sequences covering the wide variety of human protein kinases.

Authors’ Affiliations

(1)
Chemical Computing Group, St Johns Innovation Centre, Cambridge, CB4 0WS, UK
(2)
Chemical Computing Group, 1010 Sherbrooke Street West, Montréal, Québec, H3A 2R7, Canada

Copyright

© Maginn et al.; licensee BioMed Central Ltd. 2013

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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