By Topic

Prediction of Protein-Protein Interactions from Secondary Structures in Binding Motifs Using the Statistic Method

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Jian-Tao Yu ; Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol., Harbin ; Mao-Zu Guo

Protein-protein interactions and their full network are crucial to understand biological function and disease occurrence. In respect of involvement of binding motifs and specific secondary structures in protein-protein interactions, we applied a statistical method to explore the frequency with which helices, sheets and disordered secondary structures appeared on protein-protein binding motif regions and tried to predict protein-protein interactions taking this frequency as a threshold. The results have shown that i ) on the average, helices and disordered structures constitute most of the binding regions (about 92%). ii ) for individual binding motif, the ratio may not be as significant as that in general cases. However, it is still greatly higher than that in random condition. This conclusion will be beneficial to protein-protein interaction prediction from a new orientation, secondary structures, instead of traditional ways of amino acid sequences and three-dimensional protein structures.

Published in:

Natural Computation, 2008. ICNC '08. Fourth International Conference on  (Volume:5 )

Date of Conference:

18-20 Oct. 2008