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Computational methods for the prediction of protein-protein interactions
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نویسنده
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xia j.-f. ,wang s.-l. ,lei y.k.
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منبع
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protein and peptide letters - 2010 - دوره : 17 - شماره : 9 - صفحه:1069 -1078
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چکیده
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Protein-protein interactions (ppis) are key components of most cellular processes,so identification of ppis is at the heart of functional genomics. a number of experimental techniques have been developed to discover the ppi networks of several organisms. however,the accuracy and coverage of these techniques have proven to be limited. therefore,it is important to develop computational methods to assist in the design and validation of experimental studies and for the prediction of interaction partners. here,we provide a critical overview of existing computational methods including genomic context method,structure-based method,domain-based method and sequence-based method. while an exhaustive list of methods is not presented,we analyze the relative strengths and weaknesses for each of the methods discussed,as well as a broader perspective on computational techniques for determining ppis. in addition to algorithms for interaction prediction,description of many useful databases pertaining to ppis is also provided. © 2010 bentham science publishers ltd.
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کلیدواژه
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Computational techniques; Genome context; Protein domain; Protein interaction databases; Protein sequence; Protein structure; Protein-protein interactions
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آدرس
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intelligent computing laboratory,hefei institute of intelligent machines,chinese academy of sciences,p.o. box 1130,hefei,anhui 230031,china,school of life science,university of science and technology of china,hefei, China, intelligent computing laboratory,hefei institute of intelligent machines,chinese academy of sciences,p.o. box 1130,hefei,anhui 230031,china,school of computer and communication,hunan university,changsha, China, intelligent computing laboratory,hefei institute of intelligent machines,chinese academy of sciences,p.o. box 1130,hefei,anhui 230031,china,electronic engineering institute,hefei, China
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Authors
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