Linked Life Data

12612648

Source:http://linkedlifedata.com/resource/pubmed/id/12612648

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2003-3-3
pubmed:abstractText
Almost 20 years of combinatorial chemistry have emphasized the power of numbers, a key issue for drug discovery in the current genomic era, in which it has been estimated that there might be more than 10,000 potential targets for which it would be desirable to have small-molecule modulators. Combinatorial chemistry is best described as the industrialization of chemistry; the chemistry has not changed, just the way in which it is now carried out, which is principally by exploiting instrumentation and robotics coupled to the extensive use of computers to efficiently control the process and analyse the vast amounts of resulting data. Many researchers have contributed to the general concepts as well as to the technologies in present use. However, some interesting challenges still remain to be solved, and these are discussed here in the context of the application of combinatorial chemistry to drug discovery.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Mar
pubmed:issn
1474-1776
pubmed:author
pubmed:issnType
Print
pubmed:volume
2
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
222-30
pubmed:dateRevised
2005-11-16
pubmed:meshHeading
pubmed:year
2003
pubmed:articleTitle
Combinatorial compound libraries for drug discovery: an ongoing challenge.
pubmed:affiliation
Department of Chemistry, University of Virginia, McCormick Road, P.O. Box 400319, Charlottesville, Virginia, 22904-4319, USA. geysen@virgina.edu
pubmed:publicationType
Journal Article, Review