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Chemical Reactivity Prediction: Current Methods and Different Application Areas.
Ertl, Peter; Gerebtzoff, Grégori; Lewis, Richard; Muenkler, Hagen; Schneider, Nadine; Sirockin, Finton; Stiefl, Nikolaus; Tosco, Paolo.
Afiliação
  • Ertl P; Novartis Institutes for BioMedical Research, NIBR Global Discovery Chemistry, Computer-Aided Drug Discovery, Novartis Pharma AG, Novartis Campus, 4056, Basel, Switzerland.
  • Gerebtzoff G; Novartis Institutes for BioMedical Research, NIBR Translational Medicine, Modeling and Simulations, Novartis Pharma AG, Novartis Campus, 4056, Basel, Switzerland.
  • Lewis R; Novartis Institutes for BioMedical Research, NIBR Global Discovery Chemistry, Computer-Aided Drug Discovery, Novartis Pharma AG, Novartis Campus, 4056, Basel, Switzerland.
  • Muenkler H; Novartis Institutes for BioMedical Research, NIBR Global Discovery Chemistry, Computer-Aided Drug Discovery, Novartis Pharma AG, Novartis Campus, 4056, Basel, Switzerland.
  • Schneider N; Novartis Institutes for BioMedical Research, NIBR Global Discovery Chemistry, Computer-Aided Drug Discovery, Novartis Pharma AG, Novartis Campus, 4056, Basel, Switzerland.
  • Sirockin F; Novartis Institutes for BioMedical Research, NIBR Global Discovery Chemistry, Computer-Aided Drug Discovery, Novartis Pharma AG, Novartis Campus, 4056, Basel, Switzerland.
  • Stiefl N; Novartis Institutes for BioMedical Research, NIBR Global Discovery Chemistry, Computer-Aided Drug Discovery, Novartis Pharma AG, Novartis Campus, 4056, Basel, Switzerland.
  • Tosco P; Novartis Institutes for BioMedical Research, NIBR Global Discovery Chemistry, Computer-Aided Drug Discovery, Novartis Pharma AG, Novartis Campus, 4056, Basel, Switzerland.
Mol Inform ; 41(6): e2100277, 2022 06.
Article em En | MEDLINE | ID: mdl-34964302
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado de Máquina / Quimioinformática Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Mol Inform Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Suíça
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado de Máquina / Quimioinformática Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Mol Inform Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Suíça