Analysis of Features from Protein-protein Hetero-complex Structures to Predict Protein Interaction Interfaces Using Machine Learning-Reference-Cited by-同舟云学术

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Analysis of Features from Protein-protein Hetero-complex Structures to Predict Protein Interaction Interfaces Using Machine Learning

Published:2013 Issue: Volume:10 Page:62-66
ISSN:2212-0173
Container-title:Procedia Technology
language:en
Short-container-title:Procedia Technology

Author:

Bagchi Angshuman,Mort Matthew,Li Biao,Xin Fuxiao,Carlise Carson,Oron Tal,Powell Corey,Youn Eunseog,Radivojac Predrag,Cooper David N.,Mooney Sean D.

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference9 articles.

1. J. Park, D.S. Lee, N.A. Christakis and A.L. Barabási, The impact of cellular networks on disease comorbidity. Mol. Sys. Biol. 311 (2009) 1.

2. S. Jones and J.M. Thornton, Principles of protein-protein interactions. Proc. Natl. Acad. Sci. USA 93 (1996) 13.

3. I. Nooren and J.M. Thornton, Diversity of protein–protein interactions. EMBO J. 22 (2003) 3486.

4. A.A. Bogan and K.S. Thorn, Anatomy of hot spots in protein interfaces. J. Mol. Biol. 280 (1998) 1.

5. Y. Ofran and B. Rost, ISIS: interaction sites identified from sequence, Bioinformatics 23 (2007) e13.

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