Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules.
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Data Mining and Machine Learning Models for Predicting Drug Likeness and Their Disease or Organ Category.Phoenics: A Bayesian Optimizer for ChemistryHunting for Organic Molecules with Artificial Intelligence: Molecules Optimized for Desired Excitation EnergiesRise of Deep Learning for Genomic, Proteomic, and Metabolomic Data Integration in Precision MedicineDeep reinforcement learning for de novo drug designDesign of metalloproteins and novel protein folds using variational autoencodersDeepDTA: deep drug-target binding affinity predictionMachine Learning Enabled Computational Screening of Inorganic Solid Electrolytes for Suppression of Dendrite Formation in Lithium Metal AnodesACS Central Science Virtual Issue on Machine LearningControlling an organic synthesis robot with machine learning to search for new reactivity
P2860
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P2860
Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules.
description
2018 nî lūn-bûn
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2018年の論文
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2018年学术文章
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2018年学术文章
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2018年学术文章
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2018年学术文章
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2018年学术文章
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2018年学术文章
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2018年學術文章
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2018年學術文章
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name
Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules.
@en
Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules.
@nl
type
label
Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules.
@en
Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules.
@nl
altLabel
Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules
@en
prefLabel
Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules.
@en
Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules.
@nl
P2093
P2860
P50
P1433
P1476
Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules
@en
P2093
Benjamín Sánchez-Lengeling
David Duvenaud
Jorge Aguilera-Iparraguirre
José Miguel Hernández-Lobato
Ryan P. Adams
Timothy D. Hirzel
P2860
P304
P356
10.1021/ACSCENTSCI.7B00572
P407
P577
2018-01-12T00:00:00Z
P698
P818
1610.02415