SMILES-based QSAR approaches for carcinogenicity and anticancer activity: comparison of correlation weights for identical SMILES attributes.
CORAL software (http://www.insilico.eu/coral/) has been used for modeling of carcinogenicity (logTD50) of 401 compounds, and anticancer activity (-logIC50) of 100 compounds, on the basis of quantitative structure  activity relationships (QSAR). The simplified molecular input line entry system (SMILES) was used for the representation of the molecular structures. A new additional global invariant of the molecular structure was tested. This is an indicator of the presence of pairs of chemical elements (F, Cl, Br, N, O, S, and P). Three random splits into sub-training, calibration, and test set were examined. Molecular features (calculated with SMILES and statistically significant), which increase the anticancer activity have been identified: their presence in the molecular structure could be helpful criterion in the search for new anticancer agents.
Istituto di Ricerche Farmacologiche Mario Negri, Milano, Italy. andrey.toropov@marionegri.it
Andrey A
AA
Toropov
Alla P
AP
Toropova
Emilio
E
Benfenati
Giuseppina
G
Gini
Danuta
D
Leszczynska
Jerzy
J
Leszczynski
D000818:Animals; D000970:Antineoplastic Agents / Q000737:chemistry* / Q000494:pharmacology*; D003198:Computer Simulation; D004354:Drug Screening Assays, Antitumor / Q000379:methods; D006801:Humans; D008954:Models, Biological; D009010:Monte Carlo Method; D009369:Neoplasms / Q000188:drug therapy*; D021281:Quantitative Structure-Activity Relationship; D012984:Software
D000970:Antineoplastic Agents