Quantitative structure-activity relationships (QSAR) for pesticide regulatory purposes / by Benfenati, Emilio

Predicting toxicity through computers: a changing world by Benfenati Emilio

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The CAESAR project for <it>in silico </it>models for the REACH legislation by Benfenati Emilio

QSPR modelling of the octanol/water partition coefficient of organometallic substances by optimal SMILES-based descriptors by Toropov Andrey, Toropova Alla, Benfenati Emilio

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Use and perceived benefits and barriers of QSAR models for REACH: findings from a questionnaire to stakeholders by Mays Claire, Benfenati Emilio, Pardoe Simon

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QSAR modelling toxicity toward rats of inorganic substances by means of CORAL by Toropova Alla, Toropov Andrey, Benfenati Emilio, Gini Giuseppina

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Development of QSAR models for predicting anti-HIV-1 activity using the Monte Carlo method by Toropov Andrey, Toropova Alla, Raska Ivan, Benfenati Emilio, Gini Giuseppina

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Analysis of the co-evolutions of correlations as a tool for QSAR-modeling of carcinogenicity: an unexpected good prediction based on a model that seems untrustworthy by Toropova Alla, Toropov Andrey, Diaza Rodolfo, Benfenati Emilio, Gini Guesippina

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Assessment and validation of the CAESAR predictive model for bioconcentration factor (BCF) in fish by Milan Chiara, Boriani Elena, Roncaglioni Alessandra, Lombardo Anna, Benfenati Emilio

New public QSAR model for carcinogenicity by Roncaglioni Alessandra, Novič Marjana, Vračko Marjan, Fjodorova Natalja, Benfenati Emilio

CORAL: the prediction of biodegradation of organic compounds with optimal SMILES-based descriptors by Toropov Andrey, Toropova Alla, Lombardo Anna, Roncaglioni Alessandra, Brita Nicoletta, Stella Giovanni, Benfenati Emilio

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CAESAR models for developmental toxicity by Piclin Nadège, Pintore Marco, Young Douglas, Martin Todd, Manganaro Alberto, Cassano Antonio, Bigoni Davide, Benfenati Emilio