Linked Life Data

21143503

Source:http://linkedlifedata.com/resource/pubmed/id/21143503

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2010-12-14
pubmed:abstractText
WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT: The prediction of drug-drug interactions (DDIs) from in vitro data usually utilizes an average dosing interval estimate of inhibitor concentration in an equation-based static model. Simcyp®, a population-based ADME simulator, is becoming widely used for the prediction of DDIs and has the ability to incorporate the time-course of inhibitor concentration and hence generate a temporal profile of the inhibition process within a dynamic model.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jan
pubmed:issn
1365-2125
pubmed:author
pubmed:copyrightInfo
© 2010 The Authors. British Journal of Clinical Pharmacology © 2010 The British Pharmacological Society.
pubmed:issnType
Electronic
pubmed:volume
71
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
72-87
pubmed:dateRevised
2011-8-25
pubmed:meshHeading
pubmed:year
2011
pubmed:articleTitle
Assessment of algorithms for predicting drug-drug interactions via inhibition mechanisms: comparison of dynamic and static models.
pubmed:affiliation
School of Pharmacy and Pharmaceutical Sciences, University of Manchester, Oxford Road, Manchester, UK.
pubmed:publicationType
Journal Article, Comparative Study, Research Support, Non-U.S. Gov't