Reviews

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