Generative probabilistic biological sequence models that account for mutational variability | bioRxiv
Deep generative models for peptide design - Digital Discovery (RSC Publishing) DOI:10.1039/D1DD00024A
Protein sequence design with deep generative models - ScienceDirect
Protein sequence design by conformational landscape optimization | PNAS
From lattice-protein sequence space to inferred Potts model. Protein... | Download Scientific Diagram
Molecular generative model based on conditional variational autoencoder for de novo molecular design | Journal of Cheminformatics | Full Text
Generative Biology: Designing Biologic Medicines with Greater Speed and Success | Amgen
SeqGAN: text generation with generative models – KejiTech
A Generative Neural Network for Maximizing Fitness and Diversity of Synthetic DNA and Protein Sequences - ScienceDirect
Deep generative models of genetic variation capture the effects of mutations | Nature Methods
Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design | DeepAI
Enhancing scientific discoveries in molecular biology with deep generative models | Molecular Systems Biology
Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design
Learning meaningful representations of protein sequences | Nature Communications
Inverse molecular design using machine learning: Generative models for matter engineering | Science
Frontiers | Generative Models of Brain Dynamics
Protein sequence design with a learned potential | Nature Communications
Generative Models
A de novo molecular generation method using latent vector based generative adversarial network | Journal of Cheminformatics | Full Text
The generative capacity of probabilistic protein sequence models | Nature Communications
Shape-Based Generative Modeling for de Novo Drug Design | Journal of Chemical Information and Modeling
Efficient generative modeling of protein sequences using simple autoregressive models | Nature Communications
What are Diffusion Models? | Lil'Log
Flow-based Deep Generative Models | Lil'Log
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