A Novel Approach to Predict Protein-Protein Interactions Related to Alzheimers Disease Based on Complex Network

Title: A Novel Approach to Predict Protein-Protein Interactions Related to Alzheimers Disease Based on Complex Network

Volume: 17 Issue: 3

Author(s): Jie Yang and Xiong-Fei Jiang

Affiliation:

Keywords: AD associated protein interaction network, signal pathway, conservative interaction pattern

Abstract: A protein domain interaction prediction program was complied using C++ to predict whether a query protein could interact with other hub proteins. It is indicated that the proteins interacting with AATF (Apoptosis-Antagonizing Transcription Factor) possess a common conservative pattern: I-x(0,1)-E-x(2)-[A/E/N/T]-x-[E/K]. Our method is attempted to integrate the characteristics of protein interaction network with the simplest building blocks-conservative patterns.

Cite this article as:

Yang Jie and Jiang Xiong-Fei, A Novel Approach to Predict Protein-Protein Interactions Related to Alzheimers Disease Based on Complex Network, Protein & Peptide Letters 2010; 17 (3) . https://dx.doi.org/10.2174/092986610790780323

DOI https://dx.doi.org/10.2174/092986610790780323	Print ISSN 0929-8665
Publisher Name Bentham Science Publisher	Online ISSN 1875-5305