Linked Life Data

18314578

Source:http://linkedlifedata.com/resource/pubmed/id/18314578

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2008-3-4
pubmed:abstractText
The number of experimentally verified, intrinsically disordered (ID) proteins is rapidly rising. Research is often focused on a structural characterization of a given protein, looking for several key features. However, ID proteins with their dynamic structures that interconvert on a number of time-scales are difficult targets for the majority of traditional biophysical and biochemical techniques. Structural and functional analyses of these proteins can be significantly aided by disorder predictions. The current advances in the prediction of ID proteins and the use of protein disorder prediction in the fields of molecular biology and bioinformatics are briefly overviewed herein. A method is provided to utilize intrinsic disorder knowledge to gain structural and functional information related to individual proteins, protein groups, families, classes, and even entire proteomes.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
1064-3745
pubmed:author
pubmed:issnType
Print
pubmed:volume
408
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
69-92
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
Prediction of intrinsic disorder and its use in functional proteomics.
pubmed:affiliation
School of Medicine, Indiana University, Indianapolis, USA.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, Non-P.H.S., Research Support, Non-U.S. Gov't, Research Support, N.I.H., Extramural