psipred / DMPfoldLinks
De novo protein structure prediction using iteratively predicted structural constraints
☆60Updated 4 years ago
Alternatives and similar repositories for DMPfold
Users that are interested in DMPfold are comparing it to the libraries listed below
Sorting:
- Fully convolutional neural networks for protein residue-residue contact prediction☆43Updated 6 years ago
- GREMLIN - learn MRF/potts model from input multiple sequence alignment! Implementation now available in C++ and Tensorflow/Python!☆58Updated 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…☆99Updated 4 years ago
- Direct coupling analysis software for protein and RNA sequences☆58Updated 6 months ago
- DeepContact Software☆26Updated 7 years ago
- Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."☆71Updated last year
- PDNET: A fully open-source framework for deep learning protein real-valued distances☆36Updated 4 years ago
- Contact map alignment☆42Updated 5 years ago
- Fast and accurate protein structure prediction☆57Updated last year
- Analysis and figure code from Alley et al. 2019.☆59Updated 2 years ago
- Variational autoencoder for protein sequences - add metal binding sites and generate sequences for novel topologies☆94Updated 2 years ago
- Repository for publicly available deep learning models developed in Rosetta community☆123Updated 4 years ago
- AlphaLink: Integrating crosslinking MS data into OpenFold☆72Updated 2 years ago
- Pseudo Likelihood Maximization for protein in Julia☆51Updated 8 months ago
- Protein Residue-Residue Contacts from Correlated Mutations predicted quickly and accurately.☆112Updated 2 years ago
- PSIPRED Protein Secondary Structure Predictor☆58Updated 7 months ago
- Paratope Prediction using Deep Learning☆61Updated 2 years ago
- Code and data to reproduce analyses in Biswas et al. (2020) "Low-N protein engineering with data-efficient deep learning".☆60Updated 4 years ago
- Predict the structure of immune receptor proteins☆59Updated last year
- A structure-based, alignment-free embedding approach for proteins. Can be used as input to machine learning algorithms.☆41Updated 2 years ago
- Code for our paper "Protein sequence design with a learned potential"☆82Updated 2 years ago
- ☆60Updated 3 years ago
- ☆109Updated 2 years ago
- ☆127Updated 4 years ago
- Prediction of binding residues for metal ions, nucleic acids, and small molecules.☆34Updated 5 months ago
- Graph-based community clustering approach to extract protein domains from a predicted aligned error matrix☆35Updated 3 years ago
- Fast protein structure searching or your money back☆118Updated 3 weeks ago
- Deep residual neural network for protein contact/distance prediction developed by Xu group☆79Updated 5 years ago
- Protein design and variant prediction using autoregressive generative models☆118Updated 2 years ago
- ☆33Updated 4 months ago