Linked Life Data

16239060

Source:http://linkedlifedata.com/resource/pubmed/id/16239060

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2006-2-13
pubmed:abstractText
The analysis of correlated mutations in protein sequence alignments is of considerable interest, since it may provide useful energetic and even structural information (ideally, residue contacts). However, a number of recent experimental studies support the existence of long-distance communication in proteins, a fact that may lead to correlation between distant residues. We introduce in this work a simple statistical procedure to describe the relation structure--alignments on the basis of the residue--residue distance dependence of the number of residue couples over given thresholds of a correlation measure (such as a covariance value). This procedure may lead to clear pictures of the distance distribution of correlated mutations and may provide a simple but efficient tool to explore the different structural features that are reflected in the sequence alignments.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Feb
pubmed:issn
0301-4622
pubmed:author
pubmed:issnType
Print
pubmed:day
1
pubmed:volume
119
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
240-6
pubmed:dateRevised
2007-11-15
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
A simple tool to explore the distance distribution of correlated mutations in proteins.
pubmed:affiliation
Departamento de Quimica Fisica, Facultad de Ciencias, Universidad de Granada, Fuentenueva s/n, 18071-Granada, Spain.
pubmed:publicationType
Journal Article, Comparative Study, Research Support, Non-U.S. Gov't