Linked Life Data

18393867

Source:http://linkedlifedata.com/resource/pubmed/id/18393867

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2008-4-8
pubmed:abstractText
Protein-protein interactions (PPIs) have a pivotal role in many biological processes suggesting that targeting macromolecular complexes will open new avenues for the design of the next generation of therapeutics. A wide range of "in silico methods" can be used to facilitate the design of protein-protein modulators. Among these methods, virtual ligand screening, protein-protein docking, structural predictions and druggable pocket predictions have become established techniques for hit discovery and optimization. In this review, we first summarize some key data about protein-protein interfaces and introduce some recently reported computer methods pertaining to the field. URLs for several recent free packages or servers are also provided. Then, we discuss four studies aiming at developing PPI modulators through the combination of in silico and in vitro screening experiments.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Apr
pubmed:issn
1873-4316
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
9
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
103-22
pubmed:dateRevised
2008-5-12
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
In silico-in vitro screening of protein-protein interactions: towards the next generation of therapeutics.
pubmed:affiliation
c-Dithem, Inserm Consortium for Discovery and Innovation in Therapy and Medicine, France. bruno.villoutreix@univ-paris5.fr
pubmed:publicationType
Journal Article, Review, Research Support, Non-U.S. Gov't