Linked Life Data

21489855

Source:http://linkedlifedata.com/resource/pubmed/id/21489855

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2011-6-7
pubmed:abstractText
Classification of enzyme function should be quantitative, computationally accessible, and informed by sequences and structures to enable use of genomic information for functional inference and other applications. Large-scale studies have established that divergently evolved enzymes share conserved elements of structure and common mechanistic steps and that convergently evolved enzymes often converge to similar mechanisms too, suggesting that reaction mechanisms could be used to develop finer-grained functional descriptions than provided by the Enzyme Commission (EC) system currently in use. Here we describe how evolution informs these structure-function mappings and review the databases that store mechanisms of enzyme reactions along with recent developments to measure ligand and mechanistic similarities. Together, these provide a foundation for new classifications of enzyme function.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
1879-0402
pubmed:author
pubmed:copyrightInfo
Copyright © 2011 Elsevier Ltd. All rights reserved.
pubmed:issnType
Electronic
pubmed:volume
15
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
435-42
pubmed:dateRevised
2011-9-22
pubmed:meshHeading
pubmed:year
2011
pubmed:articleTitle
Toward mechanistic classification of enzyme functions.
pubmed:affiliation
Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, 1700 4th Street, MC 2550, San Francisco, CA 94158, USA.
pubmed:publicationType
Journal Article, Review, Research Support, N.I.H., Extramural