ranganathanlab / bmDCALinks
Fork of matteofigliuzzi/bmDCA repository for Boltzmann-machine Direct Coupling Analysis (bmDCA).
☆35Updated 4 years ago
Alternatives and similar repositories for bmDCA
Users that are interested in bmDCA are comparing it to the libraries listed below
Sorting:
- ☆41Updated 2 months ago
- Bioinformatics and Cheminformatics protocols for peptide analysis☆42Updated 2 years ago
- Active Learning-Assisted Directed Evolution for Protein Engineering☆63Updated 8 months ago
- ☆85Updated 10 months ago
- ☆51Updated this week
- Kuhlman Lab Installation of AlphaFold3☆29Updated 3 months ago
- ☆43Updated 7 months ago
- Improved protein complex prediction with AlphaFold-multimer by denoising the MSA profile☆68Updated 11 months ago
- code for IDR binding paper 2025☆43Updated 5 months ago
- Ultra-fast in-silico structure mutation☆34Updated 4 months ago
- ☆23Updated 4 years ago
- Direct coupling analysis software for protein and RNA sequences☆51Updated 2 weeks ago
- Structure-based self-supervised learning enables ultrafast prediction of stability changes upon mutations☆63Updated 3 weeks ago
- Fast and accurate protein domain segmentation using Invariant Point Attention☆40Updated 2 months ago
- Efficient manipulation of protein structures in Python☆55Updated 9 months ago
- ☆36Updated last year
- ☆39Updated last year
- Local Interaction Score (LIS) Calculation from AlphaFold-Multimer (Enhanced Protein-Protein Interaction Discovery via AlphaFold-Multimer)☆58Updated 4 months ago
- PyDock Tutorial☆33Updated 7 years ago
- Physical energy function for protein sequence design☆32Updated 2 years ago
- Machine learning prediction of enzyme optimum pH☆44Updated 3 months ago
- Enzyme datasets used to benchmark enzyme-substrate promiscuity models☆38Updated 4 years ago
- Graph Network for protein-protein interface including language model features☆32Updated last year
- A dataset for training and benchmarking deep learning models for RNA structure prediction☆58Updated 7 months ago
- An accurate and efficient protein sequence design approach☆24Updated 4 months ago
- Graphinity: Equivariant Graph Neural Network Architecture for Predicting Change in Antibody-Antigen Binding Affinity☆43Updated last month
- ☆25Updated 2 years ago
- Neural networks to fit interpretable models and quantify energies, energetic couplings, epistasis, and allostery from deep mutational sca…☆51Updated 4 months ago
- Generating and scoring novel enzyme sequences with a variety of models and metrics☆70Updated last month
- ☆70Updated 4 months ago