DocumentCode
2625978
Title
Computational Identification of Interaction Motifs in Hepatitis C Virus NS5A and Human Proteins
Author
Zhang, Guang-Zheng ; Han, Kyungsook
Author_Institution
Inha Univ., Incheon
fYear
2007
fDate
21-23 Nov. 2007
Firstpage
885
Lastpage
884
Abstract
Identifying binding motifs or critical sequence segments is a key step toward understanding the mechanism of interactions between hepatitis C virus (HCV) and host cell proteins, such as human proteins. In the present study, we found a pair of binding motifs, G185-L234 in HCV NS5A proteins and L-X(3,5)-E-[AEGNQST] in human proteins, which are considered to be a key determinant for the interactions between HCV NS5A and human proteins. The binding motif of human proteins often forms a full helix (H) or an extended strand-loop (EL) structure. We also found 3 highly conserved sequence segments in HCV NS5A, G185-D196, 7^216-^239, and S 414-8437, which are in good agreement with the experimental results of previous studies. These results are expected to prove helpful in the design of high-affinity molecules that target the binding sites of HCV NS5A and human proteins.
Keywords
biology computing; cellular biophysics; microorganisms; molecular biophysics; proteins; NS5A protein; binding motif; computational identification; critical sequence segment; extended strand-loop structure; full helix structure; hepatitis C virus; high-affinity molecule; host cell protein; human protein; interaction motif; Animal structures; Bonding; Electronic mail; Guidelines; Humans; Information technology; Liver diseases; Pattern analysis; Protein engineering; RNA;
fLanguage
English
Publisher
ieee
Conference_Titel
Convergence Information Technology, 2007. International Conference on
Conference_Location
Gyeongju
Print_ISBN
0-7695-3038-9
Type
conf
DOI
10.1109/ICCIT.2007.67
Filename
4420371
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