the-protein-engineering-tournament / pet-pilot-2023Links
Results and data from the pilot round of the Protein Engineering Tournament
☆30Updated 7 months ago
Alternatives and similar repositories for pet-pilot-2023
Users that are interested in pet-pilot-2023 are comparing it to the libraries listed below
Sorting:
- Generating and scoring novel enzyme sequences with a variety of models and metrics☆71Updated 4 months ago
- Machine learning-driven antibody design☆60Updated 2 years ago
- Metrics for our protein design competitions.☆35Updated last year
- ☆47Updated 9 months ago
- Mutational Effect Transfer Learning (METL) framework for pretraining and finetuning biophysics-informed protein language models☆55Updated last month
- ☆71Updated 7 months ago
- Fast deep learning methods for large-scale protein-protein interaction screening☆85Updated 2 months ago
- ☆69Updated last year
- ProteusAI is a library for the machine learning driven engineering of proteins. The library enables workflows from protein structure pred…☆64Updated last month
- ☆64Updated 3 months ago
- Protein Design by Machine Learning guided Directed Evolution☆47Updated 6 months ago
- Template-based protein design with Raygun☆74Updated last week
- Local Interaction Score (LIS) Calculation from AlphaFold-Multimer (Enhanced Protein-Protein Interaction Discovery via AlphaFold-Multimer)☆59Updated 7 months ago
- ☆39Updated last year
- Fragment binding prediction with ColabFold☆37Updated 7 months ago
- Efficient implementatin of ESM family.☆74Updated last month
- Kuhlman Lab Installation of AlphaFold3☆36Updated last month
- Ultra-fast in-silico structure mutation☆35Updated 6 months ago
- ☆36Updated last year
- ☆109Updated this week
- ☆30Updated last year
- Active Learning-Assisted Directed Evolution for Protein Engineering☆70Updated last week
- Learning the language of protein-protein interactions☆98Updated last month
- Updated Protpardelle models with more robust motif scaffolding and multichain support☆45Updated last week
- Adapting protein language models for structure-conditioned design☆41Updated last year
- Neural networks to fit interpretable models and quantify energies, energetic couplings, epistasis, and allostery from deep mutational sca…☆54Updated 6 months ago
- MiniFold: Simple, Fast and Accurate Protein Structure Prediction☆77Updated 3 months ago
- Humanness of de-novo designed proteins☆30Updated 5 months ago
- Code for deep learning guided design of dynamic proteins☆31Updated last year
- Efficient manipulation of protein structures in Python☆58Updated last month