HotPoint: hot spot prediction server for protein interfaces

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2010-07-01

Author

Tunçbağ, Nurcan
GÜRSOY, Attila

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The energy distribution along the protein-protein interface is not homogenous; certain residues contribute more to the binding free energy, called 'hot spots'. Here, we present a web server, HotPoint, which predicts hot spots in protein interfaces using an empirical model. The empirical model incorporates a few simple rules consisting of occlusion from solvent and total knowledge-based pair potentials of residues. The prediction model is computationally efficient and achieves high accuracy of 70%. The input to the HotPoint server is a protein complex and two chain identifiers that form an interface. The server provides the hot spot prediction results, a table of residue properties and an interactive 3D visualization of the complex with hot spots highlighted. Results are also downloadable as text files. This web server can be used for analysis of any protein-protein interface which can be utilized by researchers working on binding sites characterization and rational design of small molecules for protein interactions. HotPoint is accessible at http://prism.ccbb.ku.edu.tr/hotpoint.

Subject Keywords

Binding-energy, Receptor, Database

URI

https://hdl.handle.net/11511/31892

Journal

NUCLEIC ACIDS RESEARCH

DOI

https://doi.org/10.1093/nar/gkq323

Collections

Graduate School of Informatics, Article

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Citation Formats

N. Tunçbağ and A. GÜRSOY, “HotPoint: hot spot prediction server for protein interfaces,” NUCLEIC ACIDS RESEARCH, pp. 0–0, 2010, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/31892.