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
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;
Conference_Titel :
Convergence Information Technology, 2007. International Conference on
Conference_Location :
Gyeongju
Print_ISBN :
0-7695-3038-9
DOI :
10.1109/ICCIT.2007.67