title: A novel approach to predict protein-protein interactions related to Alzheimer's disease based on complex network.
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.
authors.affiliation: State key laboratory of pharmaceutical biotechnology, Nanjing University, Nanjing 210093, China. luckyjyj@sina.com.cn
authors.forename: Jie
authors.initials: J
authors.lastname: Yang
authors.forename: Xiong-Fei
authors.initials: XF
authors.lastname: Jiang
mesh_terms: D000465:Algorithms; D000544:Alzheimer Disease / Q000378:metabolism*; D000595:Amino Acid Sequence; D051017:Apoptosis Regulatory Proteins / Q000378:metabolism; D019295:Computational Biology / Q000379:methods*; D006801:Humans; D015233:Models, Statistical; D008969:Molecular Sequence Data; D025941:Protein Interaction Mapping / Q000379:methods*; D011506:Proteins / Q000378:metabolism; D012097:Repressor Proteins / Q000378:metabolism; D015398:Signal Transduction
chemical_list: C402637:AATF protein, human; D051017:Apoptosis Regulatory Proteins; D011506:Proteins; D012097:Repressor Proteins