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An updated structural classification of substrate‐binding proteins
Author(s) -
Scheepers Giel H.,
Lycklama a Nijeholt Jelger A.,
Poolman Bert
Publication year - 2016
Publication title -
febs letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.593
H-Index - 257
eISSN - 1873-3468
pISSN - 0014-5793
DOI - 10.1002/1873-3468.12445
Subject(s) - protein data bank (rcsb pdb) , structural similarity , protein data bank , similarity (geometry) , substrate (aquarium) , cluster (spacecraft) , protein structure , computational biology , biology , biochemistry , chemistry , computer science , artificial intelligence , image (mathematics) , programming language , ecology
Substrate‐binding proteins ( SBP s) play an important role in solute uptake and signal transduction. In 2010, Berntsson et al . classified the 114 organism‐specific SBP structures available at that time and defined six protein clusters, based on their structural similarity. Since then, the number of unique SBP structures has increased almost fivefold, whereas the number of protein entries in the Protein Data Bank ( PDB ) nearly doubled. On the basis of the much larger dataset, we now subclassify the SBP s within the original clusters. Moreover, we propose a 7th cluster based on a small group of SBP s with structural features significantly different from those observed in the other proteins.