lehner-lab / doubledeepms
Source code for fitting thermodynamic models (MoCHI), downstream analyses and to reproduce all figures in the following publication: Mapping the energetic and allosteric landscapes of protein binding domains (Faure AJ, Domingo J & Schmiedel JM et al., 2022)
☆19Updated last year
Alternatives and similar repositories for doubledeepms:
Users that are interested in doubledeepms are comparing it to the libraries listed below
- Neural networks to fit interpretable models and quantify energies, energetic couplings, epistasis, and allostery from deep mutational sca…☆44Updated 3 weeks ago
- ☆23Updated last year
- Machine learning models for antibody sequences in PyTorch☆39Updated 3 years ago
- ☆20Updated 2 months ago
- Code and data to reproduce analyses in Biswas et al. (2020) "Low-N protein engineering with data-efficient deep learning".☆57Updated 3 years ago
- ☆37Updated 5 months ago
- ☆19Updated 9 months ago
- Repository for Protein-Vec, a protein embedding mixture of experts model☆37Updated last year
- An antibody-specific language model focusing on NGL prediction☆26Updated 7 months ago
- Active Learning-Assisted Directed Evolution for Protein Engineering☆42Updated 4 months ago
- ☆49Updated 9 months ago
- ☆61Updated 3 years ago
- Fast deep learning methods for large-scale protein-protein interaction screening☆35Updated 5 months ago
- KA-Search: Rapid and exhaustive sequence identity search of known antibodies☆22Updated 8 months ago
- An antibody-specific language model focusing on NGL prediction☆15Updated 2 weeks ago
- Rapid protein-protein interaction network creation from multiple sequence alignments with Deep Learning☆81Updated last year
- Machine learning-driven antibody design☆54Updated last year
- ☆32Updated last month
- A domain parser for Alphafold models☆34Updated last year
- Metrics for our protein design competitions.☆24Updated 4 months ago
- Tool for modelling the CDRs of antibodies☆47Updated 2 years ago
- ☆25Updated 9 months ago
- ☆68Updated 4 years ago
- Contrastive fitness learning: Reprogramming protein language models for low-N learning of protein fitness landscape☆28Updated 7 months ago
- Deciphering protein evolution and fitness landscapes with latent space models☆32Updated 3 years ago
- Code for holographic machine learning of proteins☆22Updated 4 months ago
- pyFoldX: python bindings for FoldX.☆44Updated 3 years ago
- Making Protein folding accessible to all!☆21Updated last year
- ☆36Updated 2 months ago