Title :
Identifying the Nucleus Residues in Proteins by Network Approach
Author_Institution :
Key Lab. of Biophys. in Universities of Shandong, Dezhou Univ., Dezhou, China
Abstract :
Identifying nucleus residues is crucial for studying the folding mechanisms of proteins. In this work, the protein structure is modeled as a network with the amino acid residues the vertices and contacts between them the edges. The amino acid networks for native states of 81 proteins are constructed. The amino acid networks have the typical property of small-world network. We performed two independent MD simulations of 12 ns for GB1 and CI2 at 498 K, respectively. The amino acid networks of protein GB1 and CI2 are constructed at three different states, the native, the transition, and denatured states on the unfolding pathway. The nucleus residues of GB1 and CI2 are identified by the analysis of the network parameter: betweenness of transition states. The results are consistent with the previous experimental and theoretical studies. This work is helpful to study the relationship between structure and function of protein.
Keywords :
complex networks; molecular biophysics; molecular dynamics method; proteins; amino acid residues; molecular dynamics simulations; nucleus residues; protein folding mechanism; small world network; temperature 498 K; time 12 ns; Amino acids; Analytical models; Biological system modeling; Biophysics; Educational institutions; Inhibitors; Intelligent networks; Kinetic theory; Proteins; Ubiquitous computing; Amino acid network; Betweenness; MD simulation; nucleus residues;
Conference_Titel :
Intelligent Ubiquitous Computing and Education, 2009 International Symposium on
Conference_Location :
Chengdu
Print_ISBN :
978-0-7695-3619-4
DOI :
10.1109/IUCE.2009.69