PuSH - Publication Server of Helmholtz Zentrum München

Export: TXT Text RIS Endnote (RIS) BIB BibTeX
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 as soon as Postprint is submitted to ZB.
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.
Impact Factor
Scopus SNIP
Web of Science
Times Cited
Scopus
Cited By
Altmetric
3.090
0.910
155
263
Tags
Annotations
Special Publikation
Hide on homepage

Edit extra information
Edit own tags
Private
Edit own annotation
Private
Hide on publication lists
on hompage
Mark as special
publikation
Publication type Article: Journal article
Document type Scientific Article
Keywords SDR; Enzymes; Nomenclature; Bioinformatics; Hidden Markov models
Language english
Publication Year 2008
HGF-reported in Year 2008
ISSN (print) / ISBN 0009-2797
e-ISSN 1872-7786
Journal Chemico-Biological Interactions
Quellenangaben Volume: 178, Issue: 1-3, Pages: 94-98 Article Number: , Supplement: ,
Publisher Elsevier
Reviewing status Peer reviewed
Institute(s) Institute of Experimental Genetics (IEG)
POF-Topic(s) 30201 - Metabolic Health
Research field(s) Genetics and Epidemiology
PSP Element(s) G-500600-004
DOI 10.1016/j.cbi.2008.10.040
Scopus ID 59049100782
Erfassungsdatum 2008-12-31
[➜Report correction]