largelymfs / DeepFoldLinks
Learning structural motif representations for efficient protein structure search
☆20Updated 8 years ago
Alternatives and similar repositories for DeepFold
Users that are interested in DeepFold are comparing it to the libraries listed below
Sorting:
- Deep convolutional networks for fold recognition☆22Updated 6 years ago
- ☆36Updated 6 years ago
- Learning Protein Constitutive Motifs from Sequence Data: RBM toolbox☆20Updated 7 years ago
- ☆52Updated 5 years ago
- A convolutional neural network to predict PPI interactions☆42Updated 7 years ago
- ☆23Updated 2 years ago
- ☆25Updated 3 years ago
- inferring sequence-structure motifs using deep learning☆40Updated 2 years ago
- Amino Acid Embedding Representation as Machine Learning Features☆20Updated 7 years ago
- ☆27Updated 6 years ago
- DeepContact Software☆26Updated 7 years ago
- PDNET: A fully open-source framework for deep learning protein real-valued distances☆36Updated 4 years ago
- ☆33Updated 4 months ago
- Supplementary data for the ACME algorithm☆23Updated 3 years ago
- End-to-end deep learning toolkit for predicting protein binding sites and motifs.☆45Updated 6 years ago
- Protein function prediction using a variational autoencoder☆93Updated 7 years ago
- Homology reduced UniProt, train-/valid-/testsets for language modeling☆16Updated 3 years ago
- Paratope Prediction using Deep Learning☆61Updated 2 years ago
- Methods for mapping genomic data onto 3D protein structure.☆28Updated 3 years ago
- iDeep: integrated prediction of RNA-protein binding sites using deep learning☆39Updated 5 years ago
- Unsupervised neural network for learning embeddings of GO terms.☆20Updated 3 years ago
- mGPfusion is a Gaussian process based method for predicting stability changes upon single and multiple mutations of proteins that comple…☆15Updated 7 years ago
- Analysis workflow for investigating the structural context of PTMs☆11Updated 2 years ago
- The Complete Python Antibody Library☆24Updated last week
- De novo protein structure prediction using iteratively predicted structural constraints☆60Updated 4 years ago
- Analysis and figure code from Alley et al. 2019.☆59Updated 2 years ago
- This repository contains code for reproducing results in our paper Interpreting Potts and Transformer Protein Models Through the Lens of …☆59Updated 3 years ago
- Epistatic Net is an algorithm which allows for spectral regularization of deep neural networks to predict biological fitness functions (e…☆18Updated 4 years ago
- ERGO is a deep learing based model for predicting TCR-peptide binding.☆18Updated 3 years ago
- Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."☆71Updated last year