Implications of Additivity and Nonadditivity for Machine Learning and Deep Learning Models in Drug Design.

Kwapien, Karolina; Nittinger, Eva; He, Jiazhen; Margreitter, Christian; Voronov, Alexey; Tyrchan, Christian

Kwapien, Karolina; Nittinger, Eva; He, Jiazhen; Margreitter, Christian; Voronov, Alexey; Tyrchan, Christian.

Afiliação

Kwapien K; Medicinal Chemistry, Research and Early Development, Respiratory and Immunology (R&I), BioPharmaceuticals R&D, AstraZeneca, Gothenburg 431 83, Sweden.
Nittinger E; Medicinal Chemistry, Research and Early Development, Respiratory and Immunology (R&I), BioPharmaceuticals R&D, AstraZeneca, Gothenburg 431 83, Sweden.
He J; Molecular AI, Discovery Sciences, R&D, AstraZeneca, Gothenburg 431 83, Sweden.
Margreitter C; Molecular AI, Discovery Sciences, R&D, AstraZeneca, Gothenburg 431 83, Sweden.
Voronov A; Molecular AI, Discovery Sciences, R&D, AstraZeneca, Gothenburg 431 83, Sweden.
Tyrchan C; Medicinal Chemistry, Research and Early Development, Respiratory and Immunology (R&I), BioPharmaceuticals R&D, AstraZeneca, Gothenburg 431 83, Sweden.

ACS Omega ; 7(30): 26573-26581, 2022 Aug 02.

Article em En | MEDLINE | ID: mdl-35936431

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: ACS Omega Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Suécia

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