title: [Analysis and realization of the method for predicting physical pathways of allosteric communication in a protein family].
abstract: A fundamental goal in signal transduction study is to understand allosteric communication. The authors present hereby a statistical coupling analysis method (developed by Steve W. Lockless etc.) for quantitative mapping of the global network of amino acid positions in a protein and predicting a set of energetically coupled positions, which may constitute the physical pathways of allosteric communication in a protein family. Based on MATLAB, the authors realized this method and created histograms of amino acid distributions for all 63 395 entries (as of April 2004) in the Swiss-Prot database of eukaryotic proteins and calculated the mean values. The result was similar to that calculated by Steve W. Lockless in October 1998.
authors.affiliation: Department of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
authors.forename: Xiao-dan
authors.initials: XD
authors.lastname: Tan
authors.forename: Zhi-yong
authors.initials: ZY
authors.lastname: Lu
authors.forename: Yong-chun
authors.initials: YC
authors.lastname: Su
authors.forename: Ai-rong
authors.initials: AR
authors.lastname: Dong
authors.forename: Qin-Kai
authors.initials: QK
authors.lastname: Deng
mesh_terms: D000494:Allosteric Regulation; D000596:Amino Acids / Q000737:chemistry* / Q000378:metabolism; D008958:Models, Molecular; D011485:Protein Binding; D011487:Protein Conformation; D016415:Sequence Alignment / Q000379:methods*; D020539:Sequence Analysis, Protein / Q000379:methods*; D015398:Signal Transduction
chemical_list: D000596:Amino Acids