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Persson, B.* ; Kallberg, Y.* ; Bray, J.E.* ; Bruford, E.* ; Dellaporta, S.L.* ; Favia, A.D.* ; Duarte, R.G.* ; Jörnvall, H.* ; Kavanagh, K.L.* ; Kedishvili, N.* ; Kisiela, M.* ; Maser, E.* ; Mindnich, R.* ; Orchard, S.* ; Penning, T.M.* ; Thornton, J.M.* ; Adamski, J. ; Oppermann, U.*

The SDR (short-chain dehydrogenase/reductase and related enzymes) nomenclature initiative.

Chem. Biol. Interact. 178, 94-98 (2008)
DOI
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
Short-chain dehydrogenases/reductases (SDR) constitute one of the largest enzyme superfamilies with presently over 46,000 members. In phylogenetic comparisons, members of this superfamily show early divergence where the majority have only low pairwise sequence identity, although sharing common structural properties. The SDR enzymes are present in virtually all genomes investigated, and in humans over 70 SDR genes have been identified. In humans, these enzymes are involved in the metabolism of a large variety of compounds, including steroid hormones, prostaglandins, retinoids, lipids and xenobiotics. It is now clear that SDRs represent one of the oldest protein families and contribute to essential functions and interactions of all forms of life. As this field continues to grow rapidly, a systematic nomenclature is essential for future annotation and reference purposes. A functional subdivision of the SDR superfamily into at least 200 SDR families based upon hidden Markov models forms a suitable foundation for such a nomenclature system, which we present in this paper using human SDRs as examples.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter SDR; Enzymes; Nomenclature; Bioinformatics; Hidden Markov models
Sprache englisch
Veröffentlichungsjahr 2008
HGF-Berichtsjahr 2008
ISSN (print) / ISBN 0009-2797
e-ISSN 1872-7786
Zeitschrift Chemico-Biological Interactions
Quellenangaben Band: 178, Heft: 1-3, Seiten: 94-98 Artikelnummer: , Supplement: ,
Verlag Elsevier
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Experimental Genetics (IEG)
POF Topic(s) 30201 - Metabolic Health
Forschungsfeld(er) Genetics and Epidemiology
PSP-Element(e) G-500600-004
DOI 10.1016/j.cbi.2008.10.040
Scopus ID 59049100782
Erfassungsdatum 2008-12-31
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