RosettaCommons / trRosetta2Links
Repository for publicly available deep learning models developed in Rosetta community
☆117Updated 3 years ago
Alternatives and similar repositories for trRosetta2
Users that are interested in trRosetta2 are comparing it to the libraries listed below
Sorting:
- Pytorch/Python3 implementation of DeepAccNet, protein model accuracy evaluator.☆89Updated 4 years ago
- ☆107Updated last year
- Note that current version does not include search of very large metagenome data. For some proteins, metagenome data is important. We will…☆100Updated 3 years ago
- Improved antibody structure-based design using inverse folding☆128Updated 2 months ago
- trRosetta for protein design☆182Updated 4 years ago
- Code for our paper "Protein sequence design with a learned potential"☆79Updated last year
- A machine-learning package for navigating combinatorial protein fitness landscapes.☆128Updated 3 years ago
- GREMLIN - learn MRF/potts model from input multiple sequence alignment! Implementation now available in C++ and Tensorflow/Python!☆55Updated 2 years ago
- Deep learning models and structure realization scripts for the DeepAb antibody structure prediction method.☆161Updated 2 years ago
- AbLang: A language model for antibodies☆144Updated last year
- Protein Residue-Residue Contacts from Correlated Mutations predicted quickly and accurately.☆109Updated last year
- ☆110Updated 2 years ago
- Convenience Python APIs for antibody numbering using ANARCI☆102Updated 2 months ago
- Generative Language Modeling for Antibody Design☆159Updated 10 months ago
- Public repository describing training and testing of AntiBERTa.☆60Updated 2 years ago
- Predicting direct protein-protein interactions with AlphaFold deep learning neural network models.☆163Updated 11 months ago
- Code for ColabDock paper☆142Updated 3 months ago
- RNA Multiple Sequence Alignment☆43Updated 2 years ago
- ☆130Updated last month
- Protein design and variant prediction using autoregressive generative models☆108Updated last year
- Python code for fine-tuning AlphaFold to perform protein-peptide binding predictions☆155Updated last year
- Predict the binding affinity of protein-protein complexes from structural data☆142Updated 3 months ago
- Geometric deep learning method to predict protein binding interfaces from a protein structure.☆139Updated last year
- Graph neural network for generating novel amino acid sequences that fold into proteins with predetermined topologies.☆60Updated 4 years ago
- Protein folding in Pymol☆109Updated 6 months ago
- ☆112Updated last year
- Deep residual neural network for protein contact/distance prediction developed by Xu group☆79Updated 4 years ago
- Attempt at reproduction of AlphaFold2☆95Updated 9 months ago
- Universal Structure Alignment of Monomeric and Complex Structure of Nucleic Acids and Proteins☆154Updated 3 months ago
- A package to predict protein inter-residue geometries from sequence data☆215Updated 3 years ago