Generating Focused Molecule Libraries for Drug Discovery with Recurrent Neural Networks.
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Generative Recurrent Networks for De Novo Drug Design.ChemTS: an efficient python library for de novo molecular generation.Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules.Machine learning in chemoinformatics and drug discovery.Hunting for Organic Molecules with Artificial Intelligence: Molecules Optimized for Desired Excitation EnergiesDeep reinforcement learning for de novo drug designDeep Learning in Drug Discovery and Medicine; Scratching the SurfaceACS Central Science Virtual Issue on Machine Learning
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P2860
Generating Focused Molecule Libraries for Drug Discovery with Recurrent Neural Networks.
description
2017 nî lūn-bûn
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name
Generating Focused Molecule Libraries for Drug Discovery with Recurrent Neural Networks.
@en
Generating Focused Molecule Libraries for Drug Discovery with Recurrent Neural Networks.
@nl
type
label
Generating Focused Molecule Libraries for Drug Discovery with Recurrent Neural Networks.
@en
Generating Focused Molecule Libraries for Drug Discovery with Recurrent Neural Networks.
@nl
altLabel
Generating Focused Molecule Libraries for Drug Discovery with Recurrent Neural Networks
@en
prefLabel
Generating Focused Molecule Libraries for Drug Discovery with Recurrent Neural Networks.
@en
Generating Focused Molecule Libraries for Drug Discovery with Recurrent Neural Networks.
@nl
P2093
P2860
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Generating Focused Molecule Libraries for Drug Discovery with Recurrent Neural Networks.
@en
P2093
Christian Tyrchan
Mark P Waller
Marwin H S Segler
Thierry Kogej
P2860
P304
P356
10.1021/ACSCENTSCI.7B00512
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P577
2017-12-28T00:00:00Z