Literature DB >> 16248796

Computational methods for protein-protein interaction and their application.

Tie-Liu Shi1, Yi-Xue Li, Yu-Dong Cai, Kuo-Chen Chou.   

Abstract

Protein-protein interactions play a central role in numerous processes in cell and are one of the main research fields in current functional proteomics. The increase of finished genomic sequences has greatly stimulated the progress for detecting the functions of the genes and their encoded proteins. As complementary ways to the high through-put experimental methods, various methods of bioinformatics have been developed for the study of the protein-protein interaction. These methods range from the sequence homology-based to the genomic-context based. Recently, it tends to integrate the data from different methods to build the protein-protein interaction network, and to predict the protein function from the analysis of the network structure. Efforts are ongoing to improve these methods and to search for novel aspects in genomes that could be exploited for function prediction. This review highlights the recent advances of the bioinformatics methods in protein-protein interaction researches. In the end, the application of the protein-protein interaction has also been discussed.

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Year:  2005        PMID: 16248796     DOI: 10.2174/138920305774329313

Source DB:  PubMed          Journal:  Curr Protein Pept Sci        ISSN: 1389-2037            Impact factor:   3.272


  8 in total

Review 1.  Protein interaction predictions from diverse sources.

Authors:  Yin Liu; Inyoung Kim; Hongyu Zhao
Journal:  Drug Discov Today       Date:  2008-03-06       Impact factor: 7.851

2.  Computer applications for prediction of protein-protein interactions and rational drug design.

Authors:  Solène Grosdidier; Max Totrov; Juan Fernández-Recio
Journal:  Adv Appl Bioinform Chem       Date:  2009-11-10

Review 3.  Parameter estimate of signal transduction pathways.

Authors:  Ivan Arisi; Antonino Cattaneo; Vittorio Rosato
Journal:  BMC Neurosci       Date:  2006-10-30       Impact factor: 3.288

4.  Inter-protein residue covariation information unravels physically interacting protein dimers.

Authors:  Sara Salmanian; Hamid Pezeshk; Mehdi Sadeghi
Journal:  BMC Bioinformatics       Date:  2020-12-17       Impact factor: 3.169

5.  cpxDeepMSA: A Deep Cascade Algorithm for Constructing Multiple Sequence Alignments of Protein-Protein Interactions.

Authors:  Zi Liu; Dong-Jun Yu
Journal:  Int J Mol Sci       Date:  2022-07-30       Impact factor: 6.208

Review 6.  Protein-protein interaction prediction with deep learning: A comprehensive review.

Authors:  Farzan Soleymani; Eric Paquet; Herna Viktor; Wojtek Michalowski; Davide Spinello
Journal:  Comput Struct Biotechnol J       Date:  2022-09-19       Impact factor: 6.155

7.  WEB-based GEne SeT AnaLysis Toolkit (WebGestalt): update 2013.

Authors:  Jing Wang; Dexter Duncan; Zhiao Shi; Bing Zhang
Journal:  Nucleic Acids Res       Date:  2013-05-23       Impact factor: 16.971

8.  A Coarse-Grained Methodology Identifies Intrinsic Mechanisms That Dissociate Interacting Protein Pairs.

Authors:  Haleh Abdizadeh; Farzaneh Jalalypour; Ali Rana Atilgan; Canan Atilgan
Journal:  Front Mol Biosci       Date:  2020-08-25
  8 in total

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