Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
24
pubmed:dateCreated
2007-12-10
pubmed:abstractText
A new web server, InterProSurf, predicts interacting amino acid residues in proteins that are most likely to interact with other proteins, given the 3D structures of subunits of a protein complex. The prediction method is based on solvent accessible surface area of residues in the isolated subunits, a propensity scale for interface residues and a clustering algorithm to identify surface regions with residues of high interface propensities. Here we illustrate the application of InterProSurf to determine which areas of Bacillus anthracis toxins and measles virus hemagglutinin protein interact with their respective cell surface receptors. The computationally predicted regions overlap with those regions previously identified as interface regions by sequence analysis and mutagenesis experiments. AVAILABILITY: The InterProSurf web server is available at http://curie.utmb.edu/
pubmed:grant
pubmed:commentsCorrections
http://linkedlifedata.com/resource/pubmed/commentcorrection/17933856-10972291, http://linkedlifedata.com/resource/pubmed/commentcorrection/17933856-11239083, http://linkedlifedata.com/resource/pubmed/commentcorrection/17933856-11331240, http://linkedlifedata.com/resource/pubmed/commentcorrection/17933856-11700563, http://linkedlifedata.com/resource/pubmed/commentcorrection/17933856-11839484, http://linkedlifedata.com/resource/pubmed/commentcorrection/17933856-12499312, http://linkedlifedata.com/resource/pubmed/commentcorrection/17933856-14634848, http://linkedlifedata.com/resource/pubmed/commentcorrection/17933856-14671112, http://linkedlifedata.com/resource/pubmed/commentcorrection/17933856-14691234, http://linkedlifedata.com/resource/pubmed/commentcorrection/17933856-15050833, http://linkedlifedata.com/resource/pubmed/commentcorrection/17933856-15073006, http://linkedlifedata.com/resource/pubmed/commentcorrection/17933856-15659362, http://linkedlifedata.com/resource/pubmed/commentcorrection/17933856-16204847, http://linkedlifedata.com/resource/pubmed/commentcorrection/17933856-16251269, http://linkedlifedata.com/resource/pubmed/commentcorrection/17933856-16607494, http://linkedlifedata.com/resource/pubmed/commentcorrection/17933856-16641487, http://linkedlifedata.com/resource/pubmed/commentcorrection/17933856-2204619, http://linkedlifedata.com/resource/pubmed/commentcorrection/17933856-8402913, http://linkedlifedata.com/resource/pubmed/commentcorrection/17933856-8552589, http://linkedlifedata.com/resource/pubmed/commentcorrection/17933856-9299342
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
1367-4811
pubmed:author
pubmed:issnType
Electronic
pubmed:day
15
pubmed:volume
23
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
3397-9
pubmed:dateRevised
2011-9-26
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
InterProSurf: a web server for predicting interacting sites on protein surfaces.
pubmed:affiliation
Department of Biochemistry and Molecular Biology, Sealy Center for Structural Biology and Molecular Biophysics, University of Texas Medical Branch, Galveston, Texas 77555-0857, USA.
pubmed:publicationType
Journal Article, Research Support, N.I.H., Extramural