Open AccessCombining Structure and Sequence Information Allows Automated Prediction of Substrate Specificities within Enzyme Families
Author(s) -
Marc Röttig,
Christian Rausch,
Oliver Kohlbacher
Publication year - 2010
Publication title -
plos computational biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.628
H-Index - 182
eISSN - 1553-7358
pISSN - 1553-734X
DOI - 10.1371/journal.pcbi.1000636
Subject(s) - interpretability , support vector machine , artificial intelligence , sequence (biology) , benchmark (surveying) , computer science , substrate specificity , substrate (aquarium) , annotation , computational biology , machine learning , data mining , pattern recognition (psychology) , biology , enzyme , biochemistry , geography , ecology , geodesy
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