Nucleic Acids Research Advance Access originally published online on October 24, 2007
Nucleic Acids Research 2008 36(Database issue):D662-D666; doi:10.1093/nar/gkm813
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Nucleic Acids Research, 2008, Vol. 36, Database issue D662-D666
© 2007 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
This article appears in the following Nucleic Acids Research issue: Database issue [View the issue table of contents]
Articles |
HotSprint: database of computational hot spots in protein interfaces
Koc University, Center for Computational Biology and Bioinformatics and College of Engineering, Rumelifeneri Yolu, 34450 Sariyer, Istanbul, Turkey
*To whom correspondence should be addressed. Tel: +90 212 338 1538; Fax: +90 212 338 1548; Email: okeskin{at}ku.edu.tr
Received August 15, 2007. Revised September 14, 2007. Accepted September 18, 2007.
We present a new database of computational hot spots in protein interfaces: HotSprint. Hot spots are residues comprising only a small fraction of interfaces yet accounting for the majority of the binding energy. HotSprint contains data for 35 776 protein interfaces among 49 512 protein interfaces extracted from the multi-chain structures in Protein Data Bank (PDB) as of February 2006. The conserved residues in interfaces with certain buried accessible solvent area (ASA) and complex ASA thresholds are flagged as computational hot spots. The predicted hot spots are observed to correlate with the experimental hot spots with an accuracy of 76%. Several machine-learning methods (SVM, Decision Trees and Decision Lists) are also applied to predict hot spots, results reveal that our empirical approach performs better than the others. A web interface for the HotSprint database allows users to browse and query the hot spots in protein interfaces. HotSprint is available at http://prism.ccbb.ku.edu.tr/hotsprint; and it provides information for interface residues that are functionally and structurally important as well as the evolutionary history and solvent accessibility of residues in interfaces.
CiteULike 
Connotea 
Del.icio.us What's this?
This article has been cited by other articles:
|
|
 |
|
  N. Tuncbag, A. Gursoy, and O. Keskin Identification of computational hot spots in protein interfaces: combining solvent accessibility and inter-residue potentials improves the accuracy Bioinformatics, June 15, 2009; 25(12): 1513 - 1520. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 N. Tuncbag, G. Kar, O. Keskin, A. Gursoy, and R. Nussinov A survey of available tools and web servers for analysis of protein-protein interactions and interfaces Brief Bioinform, May 1, 2009; 10(3): 217 - 232. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
J. Li and Q. Liu 'Double water exclusion': a hypothesis refining the O-ring theory for the hot spots at protein interfaces Bioinformatics, March 15, 2009; 25(6): 743 - 750. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 S. Gunther, J. von Eichborn, P. May, and R. Preissner JAIL: a structure-based interface library for macromolecules Nucleic Acids Res., January 1, 2009; 37(suppl_1): D338 - D341. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
S. J. Darnell, L. LeGault, and J. C. Mitchell KFC Server: interactive forecasting of protein interaction hot spots Nucleic Acids Res., July 1, 2008; 36(suppl_2): W265 - W269. [Abstract] [Full Text] [PDF]
|
|