Linked Life Data

17300161

Source:http://linkedlifedata.com/resource/pubmed/id/17300161

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2007-2-15
pubmed:abstractText
The development of in silico and in vitro tools to estimate or predict the passive human skin permeation and distribution of new chemical entities, useful in dermal drug delivery, in absorption studies of toxic compounds, and in the cosmetics industry, is presented. In vitro permeation parameters were measured using the artificial membrane PAMPA-skin. The Volsurf approach was then applied to extract pertinent descriptors from molecular interaction fields characterizing the molecular structure of tested compounds. Two useful three-dimensional solvatochromic models able to predict PAMPA permeation parameters directly from the molecular structure were obtained using the partial least squares analysis. The models also provide valuable information to understand the link between physicochemical and structural properties of tested compounds and their interactions with the artificial membrane PAMPA-skin and can be useful to rapidly estimate their permeation through the human skin.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Feb
pubmed:issn
0022-2623
pubmed:author
pubmed:issnType
Print
pubmed:day
22
pubmed:volume
50
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
742-8
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
In silico and in vitro filters for the fast estimation of skin permeation and distribution of new chemical entities.
pubmed:affiliation
LCT-Pharmacochimie, Section des sciences pharmaceutiques, Université de Genève, Université de Lausanne, Quai Ernest-Ansermet 30, CH-1211, Genève 4, Suisse.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't