Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design
Inverse molecular design using machine learning: Generative models for matter engineering | Science
Generating functional protein variants with variational autoencoders | PLOS Computational Biology
Ig-VAE: Generative modeling of protein structure by direct 3D coordinate generation | PLOS Computational Biology
Generative models for molecular discovery: Recent advances and challenges - Bilodeau - 2022 - WIREs Computational Molecular Science - Wiley Online Library
A de novo molecular generation method using latent vector based generative adversarial network | Journal of Cheminformatics | Full Text
Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design | DeepAI
Active Site Sequence Representations of Human Kinases Outperform Full Sequence Representations for Affinity Prediction and Inhibitor Generation: 3D Effects in a 1D Model | Journal of Chemical Information and Modeling
Enhancing scientific discoveries in molecular biology with deep generative models | Molecular Systems Biology
Generative chemistry: drug discovery with deep learning generative models
Neural networks to learn protein sequence–function relationships from deep mutational scanning data | PNAS
Generative probabilistic biological sequence models that account for mutational variability | bioRxiv
Schematic Representation of Several Architectures Used in Protein... | Download Scientific Diagram
MOLER Framework. (1) First we describe the generative model. A... | Download Scientific Diagram
Deep generative models of genetic variation capture the effects of mutations | Nature Methods
Flow-based Deep Generative Models | Lil'Log
Comparative Study of Deep Generative Models on Chemical Space Coverage | Journal of Chemical Information and Modeling
Generative Biology: Designing Biologic Medicines with Greater Speed and Success | Amgen
Learning meaningful representations of protein sequences | Nature Communications
Inverse molecular design using machine learning: Generative models for matter engineering | Science
Generative Models
A Generative Neural Network for Maximizing Fitness and Diversity of Synthetic DNA and Protein Sequences - ScienceDirect
Generative Adversarial Networks: Build Your First Models – Real Python
Frontiers | Generative Models of Brain Dynamics
What are Diffusion Models? | Lil'Log
