Linked Life Data

7920434

Source:http://linkedlifedata.com/resource/pubmed/id/7920434

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
1994-10-25
pubmed:abstractText
The correlation of chemical structures with the volume of distribution of 373 miscellaneous medicinals was studied to construct an expert system for predicting the pharmacokinetic properties of organic chemicals. The compounds studied were classified into three groups; non-aromatics, aromatics, and heteroaromatics. Their total body volumes of distribution observed in human adults were allotted into three ratings, and the relationships with chemical structure were analyzed using the fuzzy adaptive least-squares method recently developed in our laboratory. Quantitative relationship models formulated for the three structure groups gave significant information about factors influencing the volume of distribution, and were statistically reliable both in recognition and leave-one-out prediction despite the diversity and complexity of the structures of the compounds investigated.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
May
pubmed:issn
0918-6158
pubmed:author
pubmed:issnType
Print
pubmed:volume
17
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
686-90
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
1994
pubmed:articleTitle
Non-congeneric structure-pharmacokinetic property correlation studies using fuzzy adaptive least-squares: volume of distribution.
pubmed:affiliation
School of Pharmaceutical Sciences, Kitasato University, Tokyo, Japan.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't