Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2004-2-25
pubmed:abstractText
This review discusses the current challenges facing researchers developing computational models to predict absorption, distribution, metabolism, excretion and toxicity (ADMET) for early drug discovery. The strengths and weaknesses of different modeling approaches are reviewed and a survey of recent strategies to model several key ADMET parameters, including intestinal permeability, blood-brain barrier penetration, metabolism, bioavailability and drug toxicities, is presented.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jan
pubmed:issn
1367-6733
pubmed:author
pubmed:issnType
Print
pubmed:volume
7
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
49-61
pubmed:dateRevised
2005-11-17
pubmed:meshHeading
pubmed:year
2004
pubmed:articleTitle
Building predictive ADMET models for early decisions in drug discovery.
pubmed:affiliation
Rational Discovery LLC, 555 Bryant Street #467, Palo Alto, CA 94301, USA. penzotti@rationaldiscovery.com
pubmed:publicationType
Journal Article, Review