AMASS: a database for investigating protein structures
Author(s) -
Clinton Mielke,
Lawrence J. Mandarino,
Valentin Dinu
Publication year - 2014
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/btu073
Subject(s) - computer science , annotation , database , visualization , sequence (biology) , protein structure database , web server , sequence database , interface (matter) , web service , online database , computational biology , information retrieval , world wide web , data mining , the internet , biology , artificial intelligence , genetics , bubble , maximum bubble pressure method , gene , parallel computing
Modern techniques have produced many sequence annotation databases and protein structure portals, but these Web resources are rarely integrated in ways that permit straightforward exploration of protein functional residues and their co-localization.
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