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Comparative protein structure modeling by combining multiple templates and optimizing sequence-to-structure alignments
Author(s) -
Narcís FernándezFuentes,
K. Brajesh,
Carlos Madrid-Aliste,
J. Eduardo Fajardo,
András Fiser
Publication year - 2007
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btm377
Subject(s) - template , computer science , sequence (biology) , sequence alignment , multiple sequence alignment , structural alignment , similarity (geometry) , set (abstract data type) , cluster analysis , loop modeling , protein structure prediction , algorithm , data mining , artificial intelligence , protein structure , peptide sequence , image (mathematics) , biochemistry , chemistry , genetics , physics , nuclear magnetic resonance , gene , biology , programming language
Two major bottlenecks in advancing comparative protein structure modeling are the efficient combination of multiple template structures and the generation of a correct input target-template alignment.

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