Linked Life Data

18352600

Source:http://linkedlifedata.com/resource/pubmed/id/18352600

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
7
pubmed:dateCreated
2008-3-20
pubmed:abstractText
We present a maximum entropy approach for inferring amino acid interactions in proteins subject to constraints pertaining to the mean numbers of various types of equilibrium contacts for a given sequence or a set of sequences. We have carried out several kinds of tests for a two-dimensional lattice model with just two types of amino acids with very promising results. We also show that the method works very well even when the mean numbers of contacts are not known and therefore can be applied to real proteins.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Feb
pubmed:issn
0031-9007
pubmed:author
pubmed:issnType
Print
pubmed:day
22
pubmed:volume
100
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
078102
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
Maximum entropy approach for deducing amino Acid interactions in proteins.
pubmed:affiliation
INFN and Dipartimento di Fisica, Università di Padova, Via Marzolo 8, I-35131 Padova, Italy.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't