Skip to main navigation Skip to search Skip to main content

Protein functional module analysis with protein-protein interaction (PPI) networks

  • SUNY Buffalo
  • Shanxi Normal University

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

In this chapter, the authors propose an ant colony optimization (ACO)-based algorithm with the topology of the network for the functional module detection. Here, they use ACO-based algorithm to solve the function module detection problem in protein-protein interaction (PPI) networks. Here, they introduce the properties of PPI networks. The previous graph clustering methods that can be applied to functional module identification from biological networks will be introduced. The authors introduce a method to build a weighted PPI network. An ACO-based clustering algorithm will be explained in detail. They conclude the chapter by presenting experimental results that illustrate the effectiveness of the proposed method.

Original languageEnglish
Title of host publicationAlgorithmic and Artificial Intelligence Methods for Protein Bioinformatics
Publisherwiley
Pages393-411
Number of pages19
ISBN (Electronic)9781118567869
ISBN (Print)9781118345788
DOIs
StatePublished - Jan 1 2013

Keywords

  • Computers
  • Proteins

Fingerprint

Dive into the research topics of 'Protein functional module analysis with protein-protein interaction (PPI) networks'. Together they form a unique fingerprint.

Cite this