变构调节
计算生物学
氨基酸
计算机科学
变构酶
生物系统
化学
生物
生物化学
酶
作者
Ivan Rivalta,Víctor S. Batista
出处
期刊:Methods in molecular biology
日期:2020-12-15
卷期号:: 137-151
被引量:15
标识
DOI:10.1007/978-1-0716-1154-8_9
摘要
Community network analysis (CNA) of correlated protein motions allows modeling of signals propagation in allosteric proteic systems. From standard classical molecular dynamics (MD) simulations, protein motions can be analysed by means of mutual information between pairs of amino acid residues, providing dynamical weighted networks that contains fundamental information of the communication among amino acids. The CNA method has been successfully applied to a variety of allosteric systems including an enzyme, a nuclear receptor and a bacterial adaptive immune system, providing characterization of the allosteric pathways. This method is complementary to network analyses based on different metrics and it is particularly powerful for studying large proteic systems, as it provides a coarse-grained view of the communication flows within large and complex networks.
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