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.
Keywords: AD associated protein interaction network, signal pathway, conservative interaction pattern
Protein & Peptide Letters
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.
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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 |
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