- Poster presentation
- Open Access
Efficient mining of protein kinase structural data
Journal of Cheminformatics volume 5, Article number: P16 (2013)
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.
Rights and permissions
Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
About this article
Cite this article
Maginn, S., Henry, A., Labute, P. et al. Efficient mining of protein kinase structural data. J Cheminform 5 (Suppl 1), P16 (2013). https://doi.org/10.1186/1758-2946-5-S1-P16
- Protein Kinase
- Structural Data
- Human Protein
- Curated Reference
- Efficient Mining