Title
Predicting protein-protein interfaces as clusters of optimal docking area points.
Abstract
Desolvation property is used here to predict protein-protein binding sites exploiting the fact that lower-valued 'optimal docking area' ODA (Fernandez-Recio et al., 2005) points form cluster at the interface. The proposed method involves two steps; clustering the ODA points and representing ODA points by average ODA values. On 51 nonredundant proteins, results show the success rate improved considerably. Considering only significant ODA, the previous ODA method has obtained a success rate of 65% with overall success rate of 39%. The proposed method improved the overall success rate to 61%. Further, comparable results were found for X-ray and NMR structures.
Year
DOI
Venue
2009
10.1504/IJDMB.2009.023884
IJDMB
Keywords
DocType
Volume
points form cluster,average oda value,desolvation property,oda point,overall success rate,success rate,predicting protein protein interface,nmr structure,optimal docking area point,significant oda,previous oda method
Journal
3
Issue
ISSN
Citations 
1
1748-5673
1
PageRank 
References 
Authors
0.36
0
4
Name
Order
Citations
PageRank
Yasir Arafat110.70
Joarder Kamruzzaman241049.22
Gour C Karmakar310.36
Juan Fernandez-Recio411.04