Perturbation Theory Machine Learning Models: Theory, Regulatory Issues, and Applications to Organic Synthesis, Medicinal Chemistry, Protein Research, and Technology

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作者： Arrasate, Sonia ^[1] ; Duardo-Sanchez, Aliuska ^[2]

作者单位： Univ Basque Country, UPV EHU, Dept Organ Chem 2, Leioa 48940, Spain ^[1] Univ Basque Country, UPV EHU, Dept Publ Law, Chair Human Genome & Law, Leioa 48940, Spain ^[2]

关键词 Perturbation theory Machine Learning Organic synthesis Carbolithiations Drug Discovery Protein Targets New Materials OECD REACH Regulatory issues

发布时间 2019-06-05

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Current topics in medicinal chemistry

2018年18卷14期

1203-1213页

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Perturbation Theory Machine Learning Models: Theory, Regulatory Issues, and Applications to Organic Synthesis, Medicinal Chemistry, Protein Research, and Technology

Current topics in medicinal chemistry

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Perturbation Theory Machine Learning Models: Theory, Regulatory Issues, and Applications to Organic Synthesis, Medicinal Chemistry, Protein Research, and Technology

Current topics in medicinal chemistry

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Current topics in medicinal chemistry

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