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2009 International Joint Conference on Computational Sciences and Optimization
Network Analysis of Unfolding Trajectory of the SH3 Domain
Sanya, Hainan, China
April 24-April 26
ISBN: 978-0-7695-3605-7
| ASCII Text | x | ||
| Hai-yan Li, Jihua Wang, "Network Analysis of Unfolding Trajectory of the SH3 Domain," 2012 Fifth International Joint Conference on Computational Sciences and Optimization, vol. 1, pp. 597-600, 2009 International Joint Conference on Computational Sciences and Optimization, 2009. | |||
| BibTex | x | ||
| @article{ 10.1109/CSO.2009.125, author = {Hai-yan Li and Jihua Wang}, title = {Network Analysis of Unfolding Trajectory of the SH3 Domain}, journal ={2012 Fifth International Joint Conference on Computational Sciences and Optimization}, volume = {1}, year = {2009}, isbn = {978-0-7695-3605-7}, pages = {597-600}, doi = {http://doi.ieeecomputersociety.org/10.1109/CSO.2009.125}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - 2012 Fifth International Joint Conference on Computational Sciences and Optimization TI - Network Analysis of Unfolding Trajectory of the SH3 Domain SN - 978-0-7695-3605-7 SP597 EP600 A1 - Hai-yan Li, A1 - Jihua Wang, PY - 2009 VL - 1 JA - 2012 Fifth International Joint Conference on Computational Sciences and Optimization ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSO.2009.125
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.
Citation:
Hai-yan Li, Jihua Wang, "Network Analysis of Unfolding Trajectory of the SH3 Domain," cso, vol. 1, pp.597-600, 2009 International Joint Conference on Computational Sciences and Optimization, 2009
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