Prediction of protein-protein interactions using alpha shape modeling

Weiqiang Zhou, Hong Yan, Xiaodan Fan, Quan Hao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Protein-protein interactions play important roles in a lot of biological progress. Previous studies about protein-protein interactions were mainly based on sequence analysis. As more 3D structural information can be obtained from protein-protein complexes, structural analysis becomes feasible and useful. In this study, we used structural alignment to predict the protein-binding site and apply 3D alpha shape modeling to analyze the interface characteristics. We have developed a method for protein-protein interaction prediction. The result indicates good performance of our method in discriminating protein-binding structures from non-protein binding structures. Our method outperforms the previous methods based on the Matthews correlation coefficient.

Original languageEnglish (US)
Title of host publication2011 International Symposium on Computational Models for Life Sciences, CMLS-11
Pages244-252
Number of pages9
DOIs
StatePublished - Jul 13 2011
Externally publishedYes
Event2011 International Symposium on Computational Models for Life Sciences, CMLS-11 - Toyama City, Japan
Duration: Oct 11 2011Oct 13 2011

Publication series

NameAIP Conference Proceedings
Volume1371
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Other

Other2011 International Symposium on Computational Models for Life Sciences, CMLS-11
CountryJapan
CityToyama City
Period10/11/1110/13/11

Keywords

  • Alpha shape
  • Protein-protein interaction
  • Structural alignment

ASJC Scopus subject areas

  • Physics and Astronomy(all)

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