DocumentCode :
1990919
Title :
Using Domain-Based Structural Ensemble to Improve Structure Modeling
Author :
Zhang, Fa ; Ma, Zhaoyun ; Liu, Zhiyong ; Yuan, Bo
Author_Institution :
Chinese Acad. of Sci. Beijing, Beijing
fYear :
2007
fDate :
14-17 Oct. 2007
Firstpage :
835
Lastpage :
841
Abstract :
In this paper, we presented a method to improve structural modeling based on conserved domain clusters and structure-anchored alignment. First we mapped all the InterPro domains in the entire PDB, partitioned and clustered homologous domains into the domain-based template library. This aimed at expanding structural coverage to more protein sequences. For each cluster, we generated a multiple structural alignment based only on the 3 D information. Then we extracted a core-structure and built a position-specific profile from the structure and sequence information for each of cluster. Based on the multiple structural alignments, core-structures and the profiles, we developed a structure-anchored alignment method to increase the alignment accuracy between a query and its templates. Preliminary results show that our template library and the structure-anchored alignment method can be used for the prediction for a majority of known protein sequences with better qualities.
Keywords :
modelling; molecular biophysics; proteins; InterPro domains; core-structure; domain clusters; multiple structural alignment; position-specific profile; protein sequences; structural modeling; structure-anchored alignment; template library; Computational modeling; Computers; Crystallography; Data mining; Databases; Libraries; Nuclear magnetic resonance; Predictive models; Proteins; Spectroscopy; alignment; core structure; domain; structure modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Bioengineering, 2007. BIBE 2007. Proceedings of the 7th IEEE International Conference on
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-1509-0
Type :
conf
DOI :
10.1109/BIBE.2007.4375657
Filename :
4375657
Link To Document :
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