jonfunk21 / ProteusAILinks
ProteusAI is a library for the machine learning driven engineering of proteins. The library enables workflows from protein structure prediction, prediction of mutational effects to protein ligand interactions powered by artificial intelligence.
☆63Updated last month
Alternatives and similar repositories for ProteusAI
Users that are interested in ProteusAI are comparing it to the libraries listed below
Sorting:
- Active Learning-Assisted Directed Evolution for Protein Engineering☆70Updated this week
- Generating and scoring novel enzyme sequences with a variety of models and metrics☆71Updated 4 months ago
- ☆71Updated 7 months ago
- Template-based protein design with Raygun☆74Updated this week
- Improved protein complex prediction with AlphaFold-multimer by denoising the MSA profile☆70Updated last year
- TemStaPro - a program for protein thermostability prediction using sequence representations from a protein language model.☆64Updated last year
- Efficient manipulation of protein structures in Python☆58Updated last month
- Local Interaction Score (LIS) Calculation from AlphaFold-Multimer (Enhanced Protein-Protein Interaction Discovery via AlphaFold-Multimer)☆59Updated 7 months ago
- Structure-based self-supervised learning enables ultrafast prediction of stability changes upon mutations☆66Updated 3 months ago
- Learning the language of protein-protein interactions☆98Updated last month
- ☆47Updated 9 months ago
- Fast indexing and search of discontinuous motifs in protein structures☆91Updated this week
- Metrics for our protein design competitions.☆35Updated 11 months ago
- ☆44Updated last year
- ☆68Updated last year
- Protein Design by Machine Learning guided Directed Evolution☆47Updated 6 months ago
- Deep learning framework for protein sequence design from a backbone scaffold that can leverage the molecular context including non-protei…☆45Updated 11 months ago
- MiniFold: Simple, Fast and Accurate Protein Structure Prediction☆76Updated 3 months ago
- Efficient implementatin of ESM family.☆74Updated last month
- Mutational Effect Transfer Learning (METL) framework for pretraining and finetuning biophysics-informed protein language models☆55Updated last month
- Fast deep learning methods for large-scale protein-protein interaction screening☆85Updated 2 months ago
- Scripts to run AlphaFold3, Boltz-1 and Chai-1 with MMseqs2 MSAs and custom templates.☆94Updated last month
- PLM based active learning model for protein engineering☆84Updated last year
- Improved antibody structure-based design using inverse folding☆140Updated 2 months ago
- Structure prediction of alternative protein conformations☆80Updated 8 months ago
- Results and data from the pilot round of the Protein Engineering Tournament☆30Updated 7 months ago
- ☆53Updated 2 months ago
- ☆64Updated 3 months ago
- Extension of ThermoMPNN for double mutant predictions☆43Updated 2 weeks ago
- Target Sequence-Conditioned Generation of Peptide Binders via Masked Language Modeling☆104Updated 3 weeks ago