Local structure prediction with local structure-based sequence profiles
Author(s) -
AnSuei Yang,
Lu-yong Wang
Publication year - 2003
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/btg151
Subject(s) - sequence (biology) , structural alignment , protein structure prediction , computer science , local structure , protein structure database , set (abstract data type) , protein structure , algorithm , sequence alignment , data mining , sequence database , artificial intelligence , peptide sequence , genetics , biology , crystallography , biochemistry , chemistry , programming language , gene
A large body of experimental and theoretical evidence suggests that local structural determinants are frequently encoded in short segments of protein sequence. Although the local structural information, once recognized, is particularly useful in protein structural and functional analyses, it remains a difficult problem to identify embedded local structural codes based solely on sequence information.
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