Kuhlman-Lab / ThermoMPNN
GNN trained to predict changes in thermodynamic stability for protein point mutants
☆121Updated 2 months ago
Related projects ⓘ
Alternatives and complementary repositories for ThermoMPNN
- ☆91Updated last month
- A compilation of deep learning methods for protein design☆94Updated 2 years ago
- ☆65Updated last week
- In silico directed evolution of peptide binders with AlphaFold☆116Updated 3 weeks ago
- A bunch of shell utilities for dealing the silent files☆53Updated 4 months ago
- ☆94Updated 2 weeks ago
- ☆70Updated 6 months ago
- Pytorch implementation for ICML 2024 paper Proteus: Exploring Protein Structure Generation for Enhanced Designability and Efficiency.☆70Updated 4 months ago
- ☆105Updated last year
- ☆75Updated 3 weeks ago
- Protein structure diffusion model for unconditional protein generation and motif scaffolding☆123Updated 4 months ago
- Predict the structure of immune receptor proteins☆119Updated 4 months ago
- ☆79Updated 2 years ago
- Fitness landscapes for antibodies☆50Updated 6 months ago
- ☆95Updated last year
- Official implementation of Generative Diffusion Models for Antibody Design, Docking, and Optimization.☆51Updated last year
- PINDER: The Protein INteraction Dataset and Evaluation Resource☆92Updated this week
- Protein-ligand structure prediction☆202Updated 3 months ago
- Geometric deep learning method to predict protein binding interfaces from a protein structure.☆108Updated last year
- Masif seed paper repository☆135Updated last year
- EnzymeFlow official.☆50Updated last week
- Antibody-Antigen Docking and Affinity Benchmark☆66Updated 3 years ago
- Predict multiple protein conformations using sequence clustering and AlphaFold2.☆135Updated last month
- repo for DynamicBind: Predicting ligand-specific protein-ligand complex structure with a deep equivariant generative model☆193Updated 5 months ago
- ☆56Updated 3 years ago
- Joint embedding of protein sequence and structure with discrete and continuous compressions of protein folding model latent spaces. https…☆81Updated 3 weeks ago
- ☆66Updated last year
- DockQ is a single continuous quality measure for Protein, Nucleic Acids and Small Molecule Docking Models☆219Updated 2 months ago
- A dataset for training and benchmarking deep learning models for RNA structure prediction☆42Updated last month
- ☆117Updated last year