Structural alerts to genotoxicity: The interaction of human and artificial intelligence
Rosenkranz, HS; Klopman, G
HERO ID
1336123
Reference Type
Journal Article
Year
1990
Language
English
PMID
| HERO ID | 1336123 |
|---|---|
| In Press | No |
| Year | 1990 |
| Title | Structural alerts to genotoxicity: The interaction of human and artificial intelligence |
| Authors | Rosenkranz, HS; Klopman, G |
| Journal | Mutagenesis |
| Volume | 333 |
| Issue | 4 |
| Page Numbers | 333-361 |
| Abstract | The assignments of 'structural alerts' by Ashby and associates as predictors of genotoxic carcinogenicity were used as the entries for CASE, an artificial intelligence-based structure-activity relational method. CASE, using this human intelligence-based information, was able to derive structural determinants that duplicate the informational content of the structural alerts (sensitivity, 0.974; specificity, 0.948). The CASE-predicted alerts performed as well as the results of the Salmonella mutagenicity assay or the direct application of structural alerts in predicting carcinogens. |
| Doi | 10.1093/mutage/5.4.333 |
| Pmid | 2398817 |
| Is Certified Translation | No |
| Dupe Override | No |
| Is Public | Yes |
| Language Text | English |
| Relationship(s) |
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