Linked Life Data

20726794

Source:http://linkedlifedata.com/resource/pubmed/id/20726794

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
8
pubmed:dateCreated
2010-8-23
pubmed:abstractText
This article presents a mathematical model on the design of peptide inhibitors for proteins. This model is a combination of the two rules on protein-ligand interaction, Miyazawa-Jernigan (M-J) matrix and hidden Markov model (HMM). The model is applied to predict peptide inhibitors for the protein cyclophilin A (CypA) and FKBP12, and then validated by the highest occupied molecular orbital calculation, dock process between protein and inhibitor, and biological experiments. The results are encouraging and suggest that we have taken a step forward towards building a mathematical theory on the design of peptide inhibitors for proteins. The mathematical model is rough at present, but if it represents a correct direction of the theoretical trends of biology as we believe, then this theory can be further developed and become more and more precise.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Aug
pubmed:issn
1557-8666
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
17
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1081-93
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
A mathematical model for peptide inhibitor design.
pubmed:affiliation
State Key Laboratory of Surface Physics and Department of Physics, School of Life Sciences, Fudan University, Shanghai, China.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't