Linked Life Data

7265110

Source:http://linkedlifedata.com/resource/pubmed/id/7265110

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
1981-10-25
pubmed:abstractText
Studies of molecular structure-carcinogenicity relations for a set of 157 aromatic amines are reported. A computer-assisted approach using pattern-recognition methods was used to develop a series of discriminants for aromatic amino carcinogenic potential. The 157 compounds were divided into subsets according to tumor site, route of administration, and activity. Sets of calculated molecular structure descriptors were generated that could support linear discriminant functions able to separate sets of active carcinogens from inactive compounds. Prominent among the important structural descriptors were those coding sizes and shapes of the amines. The pattern-recognition results were not strongly affected by differences in active site, and the study showed that mixed data sets could be used in computer-assisted structure-carcinogenicity studies.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Mar
pubmed:issn
0022-2623
pubmed:author
pubmed:issnType
Print
pubmed:volume
24
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
241-51
pubmed:dateRevised
2007-11-14
pubmed:meshHeading
pubmed:year
1981
pubmed:articleTitle
Computer-assisted structure-activity studies of chemical carcinogens. Aromatic amines.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S.