soedinglab / CCMpred
Protein Residue-Residue Contacts from Correlated Mutations predicted quickly and accurately.
☆107Updated last year
Alternatives and similar repositories for CCMpred:
Users that are interested in CCMpred are comparing it to the libraries listed below
- A machine-learning package for navigating combinatorial protein fitness landscapes.☆123Updated 3 years ago
- Repository for publicly available deep learning models developed in Rosetta community☆111Updated 3 years ago
- 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
- trRosetta for protein design☆177Updated 3 years ago
- Predict the structure of immune receptor proteins☆132Updated last month
- AbLang: A language model for antibodies☆137Updated last year
- BioPhi is an open-source antibody design platform. It features methods for automated antibody humanization (Sapiens), humanness evaluatio…☆176Updated 6 months ago
- Tutorials, cheat sheets, and other resources for computational methods for protein design.☆110Updated last year
- Variational autoencoder for protein sequences - add metal binding sites and generate sequences for novel topologies☆84Updated last year
- Deep residual neural network for protein contact/distance prediction developed by Xu group☆78Updated 4 years ago
- Compressing protein structures effectively with torsion angles☆170Updated 7 months ago
- GREMLIN - learn MRF/potts model from input multiple sequence alignment! Implementation now available in C++ and Tensorflow/Python!☆53Updated 2 years ago
- Convenience Python APIs for antibody numbering using ANARCI☆94Updated last month
- Public repository describing training and testing of AntiBERTa.☆58Updated last year
- ☆61Updated 3 years ago
- Rifdock Library for Conformational Search☆152Updated 10 months ago
- Protein folding in Pymol☆107Updated 2 months ago
- Python code for fine-tuning AlphaFold to perform protein-peptide binding predictions☆147Updated last year
- A compilation of deep learning methods for protein design☆97Updated 2 years ago
- Unconstrained lattice antibody-antigen bindings generator☆107Updated 8 months ago
- Inference of couplings in proteins and RNAs from sequence variation☆108Updated 2 years ago
- ☆98Updated 8 months ago
- Contact map alignment☆41Updated 4 years ago
- ☆104Updated 2 years ago
- Efficient evolution from protein language models☆192Updated last year
- Create DSSP and HSSP files☆88Updated 8 months ago
- A generative latent variable model for biological sequence families.☆214Updated 3 years ago
- Protein design and variant prediction using autoregressive generative models☆97Updated last year
- Fitness landscapes for antibodies☆66Updated 2 months ago
- ☆127Updated 4 years ago