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ACS Omega
(Jul 2022)
Implications of Additivity and Nonadditivity for Machine Learning and Deep Learning Models in Drug Design
Karolina Kwapien,
Eva Nittinger,
Jiazhen He,
Christian Margreitter,
Alexey Voronov,
Christian Tyrchan
Affiliations
Karolina Kwapien
Medicinal Chemistry, Research and Early Development, Respiratory and Immunology (R&I), BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
Eva Nittinger
Medicinal Chemistry, Research and Early Development, Respiratory and Immunology (R&I), BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
Jiazhen He
Molecular AI, Discovery Sciences, R&D, AstraZeneca, Gothenburg, Sweden
Christian Margreitter
Molecular AI, Discovery Sciences, R&D, AstraZeneca, Gothenburg, Sweden
Alexey Voronov
Molecular AI, Discovery Sciences, R&D, AstraZeneca, Gothenburg, Sweden
Christian Tyrchan
Medicinal Chemistry, Research and Early Development, Respiratory and Immunology (R&I), BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
DOI
https://doi.org/10.1021/acsomega.2c02738
Journal volume & issue
Vol. 7, no. 30
pp. 26573 – 26581
Abstract
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No abstracts available.
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