protein-design · GitHub Topics · GitHub
Highly accurate protein structure prediction for the human proteome | Nature
The generative capacity of probabilistic protein sequence models | Nature Communications
New deep-learned tool designs novel proteins with high accuracy | by LucianoSphere | Towards Data Science
protein-design · GitHub Topics · GitHub
IJMS | Free Full-Text | Deep Learning-Based Advances in Protein Structure Prediction | HTML
Efficient generative modeling of protein sequences using simple autoregressive models | Nature Communications
GitHub - Shen-Lab/gcWGAN: Guided Conditional Wasserstein GAN for De Novo Protein Design
Highly accurate protein structure prediction with AlphaFold | Nature
Generative Modeling for Protein Structures
Structure-based protein function prediction using graph convolutional networks | Nature Communications
Expanding functional protein sequence spaces using generative adversarial networks | Nature Machine Intelligence
protein-design · GitHub Topics · GitHub
GitHub - liponan/structure-generator: A machine learning model that builds amino acids into a protein model.
Generative Modeling for Protein Structures
Ultrafast end-to-end protein structure prediction enables high-throughput exploration of uncharacterized proteins | PNAS
AlphaFold: Using AI for scientific discovery
De Novo Molecule Design Using Molecular Generative Models Constrained by Ligand–Protein Interactions | Journal of Chemical Information and Modeling
a) Data representation. We represent protein structures using pairwise... | Download Scientific Diagram
Ig-VAE: Generative modeling of protein structure by direct 3D coordinate generation | PLOS Computational Biology
Advances in protein structure prediction and design | Nature Reviews Molecular Cell Biology
Protein Structure from Experimental Evolution - ScienceDirect
Protein sequence design with a learned potential | Nature Communications
