Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
7
pubmed:dateCreated
1992-5-6
pubmed:abstractText
The prediction of the folded structure of a protein from its sequence has proven to be a very difficult computational problem. We have developed an exceptionally simple representation of a polypeptide chain, with which we can enumerate all possible backbone conformations of small proteins. A protein is represented by a self-avoiding path of connected vertices on a tetrahedral lattice, with several amino acid residues assigned to each lattice vertex. For five small structurally dissimilar proteins, we find that we can separate native-like structures from the vast majority of non-native folds by using only simple structural and energetic criteria. This method demonstrates significant generality and predictive power without requiring foreknowledge of any native structural details.
pubmed:grant
pubmed:commentsCorrections
http://linkedlifedata.com/resource/pubmed/commentcorrection/1557356-1094916, http://linkedlifedata.com/resource/pubmed/commentcorrection/1557356-1118010, http://linkedlifedata.com/resource/pubmed/commentcorrection/1557356-1153006, http://linkedlifedata.com/resource/pubmed/commentcorrection/1557356-1167625, http://linkedlifedata.com/resource/pubmed/commentcorrection/1557356-13683522, http://linkedlifedata.com/resource/pubmed/commentcorrection/1557356-17840193, http://linkedlifedata.com/resource/pubmed/commentcorrection/1557356-2334692, http://linkedlifedata.com/resource/pubmed/commentcorrection/1557356-2459709, http://linkedlifedata.com/resource/pubmed/commentcorrection/1557356-2584229, http://linkedlifedata.com/resource/pubmed/commentcorrection/1557356-2622905, http://linkedlifedata.com/resource/pubmed/commentcorrection/1557356-2695928, http://linkedlifedata.com/resource/pubmed/commentcorrection/1557356-2845278, http://linkedlifedata.com/resource/pubmed/commentcorrection/1557356-2845279, http://linkedlifedata.com/resource/pubmed/commentcorrection/1557356-3471114, http://linkedlifedata.com/resource/pubmed/commentcorrection/1557356-3477791, http://linkedlifedata.com/resource/pubmed/commentcorrection/1557356-4124164, http://linkedlifedata.com/resource/pubmed/commentcorrection/1557356-4351801, http://linkedlifedata.com/resource/pubmed/commentcorrection/1557356-5971783, http://linkedlifedata.com/resource/pubmed/commentcorrection/1557356-6317443, http://linkedlifedata.com/resource/pubmed/commentcorrection/1557356-6347038, http://linkedlifedata.com/resource/pubmed/commentcorrection/1557356-7327267, http://linkedlifedata.com/resource/pubmed/commentcorrection/1557356-7411610, http://linkedlifedata.com/resource/pubmed/commentcorrection/1557356-875032, http://linkedlifedata.com/resource/pubmed/commentcorrection/1557356-934293, http://linkedlifedata.com/resource/pubmed/commentcorrection/1557356-957439, http://linkedlifedata.com/resource/pubmed/commentcorrection/1557356-978745
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Apr
pubmed:issn
0027-8424
pubmed:author
pubmed:issnType
Print
pubmed:day
1
pubmed:volume
89
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
2536-40
pubmed:dateRevised
2010-9-7
pubmed:meshHeading
pubmed:year
1992
pubmed:articleTitle
A lattice model for protein structure prediction at low resolution.
pubmed:affiliation
Beckman Laboratories for Structural Biology, Department of Cell Biology, Stanford University School of Medicine, CA 94305.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S., Research Support, Non-U.S. Gov't