Source:http://linkedlifedata.com/resource/pubmed/id/15811806
Switch to
Predicate | Object |
---|---|
rdf:type | |
lifeskim:mentions | |
pubmed:issue |
2
|
pubmed:dateCreated |
2005-4-6
|
pubmed:abstractText |
There are two main reasons to try to predict an enzyme's function from its sequence. The first is to identify the components and thus the functional capabilities of an organism, the second is to create enzymes with specific properties. Genomics, expression analysis, proteomics and metabonomics are largely directed towards understanding how information flows from DNA sequence to protein functions within an organism. This review focuses on information flow in the opposite direction: the applicability of what is being learned from natural enzymes to improve methods for catalyst design.
|
pubmed:language |
eng
|
pubmed:journal | |
pubmed:citationSubset |
IM
|
pubmed:chemical | |
pubmed:status |
MEDLINE
|
pubmed:month |
Apr
|
pubmed:issn |
1367-5931
|
pubmed:author | |
pubmed:issnType |
Print
|
pubmed:volume |
9
|
pubmed:owner |
NLM
|
pubmed:authorsComplete |
Y
|
pubmed:pagination |
202-9
|
pubmed:dateRevised |
2009-8-25
|
pubmed:meshHeading | |
pubmed:year |
2005
|
pubmed:articleTitle |
Predicting enzyme function from protein sequence.
|
pubmed:affiliation |
DNA 2.0, 1455 Adams Drive, Menlo Park, CA 94025, USA. minshull@dnatwopointo.com
|
pubmed:publicationType |
Journal Article,
Review
|