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Genome‐Scale Classification of Metabolic Reactions: A Chemoinformatics Approach
Author(s) -
Latino Diogo A. R. S.,
AiresdeSousa João
Publication year - 2006
Publication title -
angewandte chemie international edition
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.831
H-Index - 550
eISSN - 1521-3773
pISSN - 1433-7851
DOI - 10.1002/anie.200503833
Subject(s) - colored , cheminformatics , self organizing map , similarity (geometry) , scale (ratio) , computational biology , enzyme , chemistry , computer science , biology , biochemistry , artificial intelligence , artificial neural network , computational chemistry , cartography , geography , materials science , image (mathematics) , composite material
On the map : A Kohonen self‐organizing map distributes 3468 metabolic reactions over a 2D surface according to their similarity (neurons activated by reactions of the same enzyme class are identically colored). No specification of the reaction center was used. General agreement with EC numbers was observed. Red=oxidoreductases, dark blue=transferases, green=hydrolases, yellow=lyases, light blue=isomerases, pink=ligases.