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Additive SMILES-Based Carcinogenicity Models: Probabilistic Principles in the Search for Robust Predictions
Optimal descriptors calculated with the simplified molecular input line entry system (SMILES) have been utilized in modeling of carcinogenicity as continuous values (logTD(50)). These descriptors can be calculated using correlation weights of SMILES attributes calculated by the Monte Carlo method. A...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Molecular Diversity Preservation International (MDPI)
2009
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2738914/ https://ncbi.nlm.nih.gov/pubmed/19742127 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/ijms10073106 |
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