Title :
Network Analysis of Unfolding Trajectory of the SH3 Domain
Author :
Li, Hai-yan ; Wang, Ji-Hua
Author_Institution :
Key Lab. of Biophys., Dezhou Univ., Dezhou, China
Abstract :
It is important to understand how proteins consistently fold into their native-state structures and the relevance of structure to their function. In this work, we study the unfolding pathway of SH3 from the perspective of network. Our results show that the average clustering coefficient is less sensitive to the structural change and the average shortest path lengths can examine the larger structural changes. The betweenness values of the hydrophobic cores locate at the local maximum in the network of native state and that of the folding nucleus locate at the maximum in the network of transition state. It is easy for the betweenness of the transition state network to distinguish the folding nucleus from other residues and identify the hydrophobic core regions from the betweenness of the native state network. The hydrophobic core and folding nucleus all become derogated from native state to denature state. The hydrophobic collapse model and nucleation condensation model become reconciled in this finding.
Keywords :
biology computing; molecular biophysics; proteins; SH3 domain; average clustering coefficient; average shortest path lengths; folding nucleus locate; hydrophobic collapse model; hydrophobic cores; molecular biology; native-state structures; network analysis; nucleation condensation model; protein contact network; protein folds; transition state network; unfolding trajectory; Amino acids; Biophysics; Computer networks; Computerized monitoring; Educational institutions; Network topology; Personal communication networks; Protein engineering; Sequences; Temperature sensors;
Conference_Titel :
Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-0-7695-3605-7
DOI :
10.1109/CSO.2009.125