Expanding functional protein sequence spaces using generative adversarial networks | Nature Machine Intelligence
Generative Modeling for Protein Structures
De Novo Molecule Design Using Molecular Generative Models Constrained by Ligand–Protein Interactions | Journal of Chemical Information and Modeling
Protein Structure and Sequence Generation with Equivariant Denoising Diffusion Probabilistic Models | Data-driven modeling of protein structure and sequence.
protein-design · GitHub Topics · GitHub
Efficient generative modeling of protein sequences using simple autoregressive models | Nature Communications
GitHub - cguerramain/protein-structure-prediction-models: A list of papers using deep learning for protein strucuture prediction.
Highly accurate protein structure prediction for the human proteome | Nature
a) Data representation. We represent protein structures using pairwise... | Download Scientific Diagram
IJMS | Free Full-Text | Deep Learning-Based Advances in Protein Structure Prediction | HTML
Protein design and variant prediction using autoregressive generative models | Nature Communications
New deep-learned tool designs novel proteins with high accuracy | by LucianoSphere | Towards Data Science
GitHub - collinarnett/protein_gan: Implementation of "Generative Modeling for Protein Structures" by Namrata Anand and Po-Ssu Huang
Ig-VAE: Generative modeling of protein structure by direct 3D coordinate generation | PLOS Computational Biology
Fast and Flexible Protein Design Using Deep Graph Neural Networks - ScienceDirect
protein-design · GitHub Topics · GitHub
AlphaFold: Using AI for scientific discovery
Ultrafast end-to-end protein structure prediction enables high-throughput exploration of uncharacterized proteins | PNAS
protein-structure · GitHub Topics · GitHub
Advances in protein structure prediction and design | Nature Reviews Molecular Cell Biology
