Reviews

  • A Survey of Generative AI for De Novo Drug Design: New Frontiers in Molecule and Protein Generation: A Survey of Generative AI for de novo Drug Design: New Frontiers in Molecule and Protein Generation
    Code Last Commit Publication
  • Advances and Challenges in De Novo Drug Design Using Three-Dimensional Deep Generative Models [2022]: Advances and Challenges in De Novo Drug Design Using Three-Dimensional Deep Generative Models
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  • Assessing Deep Generative Models in Chemical Composition Space [2022]: Assessing Deep Generative Models in Chemical Composition Space
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  • De novo molecular design and generative models [2021]: De novo molecular design and generative models
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  • Deep Generative Models in De Novo Drug Molecule Generation [2023]: Deep Generative Models in De Novo Drug Molecule Generation
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  • Deep generative molecular design reshapes drug discovery [2022]: Deep generative molecular design reshapes drug discovery
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  • Deep learning approaches for de novo drug design: An overview [2021]: Deep learning approaches for de novo drug design: An overview
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  • Deep learning for molecular design—a review of the state of the art [2019]: Deep learning for molecular design—a review of the state of the art
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  • Deep Learning Generative Models for Drug Discovery [2024]: AI Deep Learning Generative Models for Drug Discovery
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  • Deep learning to catalyze inverse molecular design [2022]: Deep learning to catalyze inverse molecular design
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  • Generative chemistry: drug discovery with deep learning generative models [2021]: Generative chemistry: drug discovery with deep learning generative models
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  • Generative machine learning for de novo drug discovery: A systematic review [2022]: Generative machine learning for de novo drug discovery: A systematic review
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  • Generative Models as an Emerging Paradigm in the Chemical Sciences [2023]: Generative Models as an Emerging Paradigm in the Chemical Sciences
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  • Generative Models for De Novo Drug Design [2021]: Generative Models for De Novo Drug Design
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  • Generative models for molecular discovery: Recent advances and challenges [2022]: Generative models for molecular discovery: Recent advances and challenges
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  • Inverse molecular design using machine learning: Generative models for matter engineering [2018]: Inverse molecular design using machine learning: Generative models for matter engineering
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  • Machine learning-aided generative molecular design: Machine learning-aided generative molecular design
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  • Molecular design in drug discovery: a comprehensive review of deep generative models [2021]: Molecular design in drug discovery: a comprehensive review of deep generative models
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  • MolGenSurvey: A Systematic Survey in Machine Learning Models for Molecule Design [2022]: MolGenSurvey: A Systematic Survey in Machine Learning Models for Molecule Design
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  • The Hitchhiker’s Guide to Deep Learning Driven Generative Chemistry [2023]: The Hitchhiker’s Guide to Deep Learning Driven Generative Chemistry
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