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
- 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
- Assessing Deep Generative Models in Chemical Composition Space [2022]: Assessing Deep Generative Models in Chemical Composition Space
- De novo molecular design and generative models [2021]: De novo molecular design and generative models
- Deep Generative Models in De Novo Drug Molecule Generation [2023]: Deep Generative Models in De Novo Drug Molecule Generation
- Deep generative molecular design reshapes drug discovery [2022]: Deep generative molecular design reshapes drug discovery
- Deep learning approaches for de novo drug design: An overview [2021]: Deep learning approaches for de novo drug design: An overview
- 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
- Deep Learning Generative Models for Drug Discovery [2024]: AI Deep Learning Generative Models for Drug Discovery
- Deep learning to catalyze inverse molecular design [2022]: Deep learning to catalyze inverse molecular design
- Generative chemistry: drug discovery with deep learning generative models [2021]: Generative chemistry: drug discovery with deep learning generative models
- Generative machine learning for de novo drug discovery: A systematic review [2022]: Generative machine learning for de novo drug discovery: A systematic review
- Generative Models as an Emerging Paradigm in the Chemical Sciences [2023]: Generative Models as an Emerging Paradigm in the Chemical Sciences
- Generative Models for De Novo Drug Design [2021]: Generative Models for De Novo Drug Design
- Generative models for molecular discovery: Recent advances and challenges [2022]: Generative models for molecular discovery: Recent advances and challenges
- Inverse molecular design using machine learning: Generative models for matter engineering [2018]: Inverse molecular design using machine learning: Generative models for matter engineering
- Machine learning-aided generative molecular design: Machine learning-aided generative molecular design
- 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
- MolGenSurvey: A Systematic Survey in Machine Learning Models for Molecule Design [2022]: MolGenSurvey: A Systematic Survey in Machine Learning Models for Molecule Design
- The Hitchhiker’s Guide to Deep Learning Driven Generative Chemistry [2023]: The Hitchhiker’s Guide to Deep Learning Driven Generative Chemistry