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Protein structure alignment considering phenotypic plasticity
Author(s) -
Gergely Csaba,
Fabian Birzele,
Ralf Zimmer
Publication year - 2008
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/btn271
Subject(s) - computer science , executable , protein structure , structural alignment , computational biology , similarity (geometry) , benchmark (surveying) , set (abstract data type) , protein sequencing , protein structure prediction , protein family , sequence alignment , protein structure database , artificial intelligence , data mining , biology , genetics , gene , peptide sequence , programming language , geography , operating system , sequence database , biochemistry , geodesy , image (mathematics)
Protein structure comparison exhibits differences and similarities of proteins and protein families and may help to elucidate protein sequence and structure evolution. Despite many methods to score protein structure similarity with and without flexibility and to align proteins accurately based on their structures, a meaningful evolutionary distance measure and alignment method which models the cost of mutations, insertions and deletions occurring in protein sequences on the structure level is still missing.

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