Linked Life Data

12634125

Source:http://linkedlifedata.com/resource/pubmed/id/12634125

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2003-3-13
pubmed:abstractText
The complexity and the astronomic number of possible chemical mixtures preclude any systematic experimental assessment of toxicology of all potentially troublesome chemical mixtures. Thus, the use of computer modeling and mechanistic toxicology for the development of a predictive tool is a promising approach to deal with chemical mixtures. In the past 15 years or so, physiologically based pharmacokinetic/pharmacodynamic (PBPK/PD) modeling has been applied to the toxicologic interactions of chemical mixtures. This approach is promising for relatively simple chemical mixtures; the most complicated chemical mixtures studied so far using this approach contained five or fewer component chemicals. In this presentation we provide some examples of the utility of PBPK/PD modeling for toxicologic interactions in chemical mixtures. The probability of developing predictive tools for simple mixtures using PBPK/PD modeling is high. Unfortunately, relatively few attempts have been made to develop paradigms to consider the risks posed by very complex chemical mixtures such as gasoline, diesel, tobacco smoke, etc. However, recent collaboration between scientists at Colorado State University and engineers at Rutgers University attempting to use reaction network modeling has created hope for the possible development of a modeling approach with the potential of predicting the outcome of toxicology of complex chemical mixtures. We discuss the applications of reaction network modeling in the context of petroleum refining and its potential for elucidating toxic interactions with mixtures.
pubmed:grant
pubmed:commentsCorrections
http://linkedlifedata.com/resource/pubmed/commentcorrection/12634125-11409535, http://linkedlifedata.com/resource/pubmed/commentcorrection/12634125-12361929, http://linkedlifedata.com/resource/pubmed/commentcorrection/12634125-12634134, http://linkedlifedata.com/resource/pubmed/commentcorrection/12634125-3099389, http://linkedlifedata.com/resource/pubmed/commentcorrection/12634125-3415551, http://linkedlifedata.com/resource/pubmed/commentcorrection/12634125-4841570, http://linkedlifedata.com/resource/pubmed/commentcorrection/12634125-6290166, http://linkedlifedata.com/resource/pubmed/commentcorrection/12634125-7483666, http://linkedlifedata.com/resource/pubmed/commentcorrection/12634125-8831903, http://linkedlifedata.com/resource/pubmed/commentcorrection/12634125-9169076, http://linkedlifedata.com/resource/pubmed/commentcorrection/12634125-9638279
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
0091-6765
pubmed:author
pubmed:issnType
Print
pubmed:volume
110 Suppl 6
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
957-63
pubmed:dateRevised
2009-11-18
pubmed:meshHeading
pubmed:year
2002
pubmed:articleTitle
Application of biologically based computer modeling to simple or complex mixtures.
pubmed:affiliation
Quantitative and Computational Toxicology Group, Center for Environmental Toxicology and Technology, Colorado State University, Fort Collins, Colorado, USA.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S., Review