Merck / BioPhiLinks
BioPhi is an open-source antibody design platform. It features methods for automated antibody humanization (Sapiens), humanness evaluation (OASis) and an interface for computer-assisted antibody sequence design.
☆188Updated 3 weeks ago
Alternatives and similar repositories for BioPhi
Users that are interested in BioPhi are comparing it to the libraries listed below
Sorting:
- DockQ is a single continuous quality measure for Protein, Nucleic Acids and Small Molecule Docking Models☆284Updated 4 months ago
- Predict the structure of immune receptor proteins☆137Updated 4 months ago
- Deep learning models and structure realization scripts for the DeepAb antibody structure prediction method.☆159Updated 2 years ago
- Antibody Numbering and Antigen Receptor ClassIfication☆213Updated last year
- Rifdock Library for Conformational Search☆158Updated last year
- Efficient evolution from protein language models☆203Updated last year
- Protein hallucination and inpainting with RoseTTAFold☆259Updated 2 years ago
- ☆210Updated last month
- Tutorials, cheat sheets, and other resources for computational methods for protein design.☆112Updated last year
- AbLang: A language model for antibodies☆140Updated last year
- ☆313Updated 9 months ago
- ☆114Updated 2 years ago
- Protein-ligand structure prediction☆215Updated 10 months ago
- Code for ColabDock paper☆140Updated last month
- Official repo of the modular BioExcel version of HADDOCK☆158Updated this week
- Convenience Python APIs for antibody numbering using ANARCI☆96Updated 2 weeks ago
- Joint sequence and structure generation with RoseTTAFold sequence space diffusion☆312Updated 7 months ago
- GNN trained to predict changes in thermodynamic stability for protein point mutants☆171Updated 3 months ago
- ☆194Updated last month
- ☆126Updated last year
- P2Rank: Protein-ligand binding site prediction from protein structure based on machine learning.☆326Updated last month
- A machine-learning package for navigating combinatorial protein fitness landscapes.☆125Updated 3 years ago
- Python code for fine-tuning AlphaFold to perform protein-peptide binding predictions☆150Updated last year
- ☆128Updated 7 months ago
- Predict multiple protein conformations using sequence clustering and AlphaFold2.☆156Updated 3 months ago
- ☆165Updated 3 years ago
- NeuralPLexer: State-specific protein-ligand complex structure prediction with a multi-scale deep generative model☆293Updated last year
- Fast, accurate antibody structure prediction from deep learning on massive set of natural antibodies☆359Updated last year
- repo for DynamicBind: Predicting ligand-specific protein-ligand complex structure with a deep equivariant generative model☆246Updated last year
- In silico directed evolution of peptide binders with AlphaFold☆180Updated 3 weeks ago