igemsoftware2017 / AiGEM_TeamHeidelberg2017
The AiGEM software suite of Team Heidelberg 2017
☆15Updated 7 years ago
Alternatives and similar repositories for AiGEM_TeamHeidelberg2017:
Users that are interested in AiGEM_TeamHeidelberg2017 are comparing it to the libraries listed below
- Paratope Prediction using Deep Learning☆59Updated last year
- De novo protein structure prediction using iteratively predicted structural constraints☆57Updated 3 years ago
- PDNET: A fully open-source framework for deep learning protein real-valued distances☆35Updated 3 years ago
- PyTorch library of layers acting on protein representations☆118Updated 9 months ago
- Deep residual neural network for protein contact/distance prediction developed by Xu group☆78Updated 4 years ago
- Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."☆71Updated 11 months ago
- Protein function prediction using a variational autoencoder☆93Updated 7 years ago
- Analysis and figure code from Alley et al. 2019.☆58Updated 2 years ago
- Modelling the Language of Life - Deep Learning Protein Sequences☆72Updated 4 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
- ☆29Updated 4 years ago
- ☆34Updated 3 years ago
- ☆127Updated 4 years ago
- A Python package for extracting protein sequence features☆59Updated 2 years ago
- Repository for publicly available deep learning models developed in Rosetta community☆114Updated 3 years ago
- GREMLIN - learn MRF/potts model from input multiple sequence alignment! Implementation now available in C++ and Tensorflow/Python!☆53Updated 2 years ago
- Variational autoencoder for protein sequences - add metal binding sites and generate sequences for novel topologies☆85Updated last year
- Predict the structure of immune receptor proteins☆48Updated 5 months ago
- Recurrent Geometric Network in Pytorch☆29Updated 4 years ago
- Fully convolutional neural networks for protein residue-residue contact prediction☆44Updated 6 years ago
- ☆116Updated 8 months ago
- DLSCORE: A deep learning based scoring function for predicting protein-ligand binding affinity☆49Updated 2 years ago
- Code for our paper "Protein sequence design with a learned potential"☆79Updated last year
- ☆35Updated 5 years ago
- ThermoNet is a computational method for quantitative prediction of the impact of single-point mutations on protein thermodynamic stabilit…☆117Updated last year
- Code and data to reproduce analyses in Biswas et al. (2020) "Low-N protein engineering with data-efficient deep learning".☆58Updated 4 years ago
- DeeplyTough: Learning Structural Comparison of Protein Binding Sites☆162Updated 2 years ago
- Package for processing and analyzing glycans and their role in biology.☆63Updated last week
- RaptorX-Property: a Standalone Package for Protein Structure Property Prediction☆17Updated 5 years ago
- pytoda - PaccMann PyTorch Dataset Classes. Read the docs: https://paccmann.github.io/paccmann_datasets/☆28Updated 6 months ago