PaccMann / paccmann_proteomicsLinks
PaccMann models for protein language modeling
☆43Updated 3 years ago
Alternatives and similar repositories for paccmann_proteomics
Users that are interested in paccmann_proteomics are comparing it to the libraries listed below
Sorting:
- ☆107Updated last year
- Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."☆70Updated last year
- Paratope Prediction using Deep Learning☆61Updated 2 years ago
- Modelling the Language of Life - Deep Learning Protein Sequences☆74Updated 4 years ago
- Multi-task and masked language model-based protein sequence embedding models.☆103Updated 4 years ago
- ☆110Updated 3 years ago
- Protein sequence classification with self-supervised pretraining☆82Updated 3 years ago
- Repository for publicly available deep learning models developed in Rosetta community☆119Updated 4 years ago
- Fully convolutional neural networks for protein residue-residue contact prediction☆43Updated 6 years ago
- Code for our paper "Protein sequence design with a learned potential"☆80Updated 2 years ago
- ☆59Updated 2 years ago
- GraphSite: protein-DNA binding site prediction using graph transformer and predicted protein structures☆61Updated last year
- Public repository describing training and testing of AntiBERTa.☆61Updated 2 years ago
- An unofficial re-implementation of AntiBERTy, an antibody-specific protein language model, in PyTorch.☆25Updated last year
- Variational autoencoder for protein sequences - add metal binding sites and generate sequences for novel topologies☆89Updated 2 years ago
- Protein design and variant prediction using autoregressive generative models☆112Updated last year
- A dataset for training and benchmarking deep learning models for RNA structure prediction☆58Updated last month
- Note that current version does not include search of very large metagenome data. For some proteins, metagenome data is important. We will…☆98Updated 3 years ago
- Code for "Protein Docking Model Evaluation by Graph Neural Networks"☆59Updated 2 years ago
- A structure-aware interpretable deep learning model for sequence-based prediction of protein-protein interactions☆104Updated last month
- A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design☆106Updated last year
- Neural networks for deep mutational scanning data☆69Updated 4 months ago
- De novo protein structure prediction using iteratively predicted structural constraints☆60Updated 3 years ago
- An evolutionary context-integrated deep learning framework for protein engineering☆65Updated 3 years ago
- A machine-learning package for navigating combinatorial protein fitness landscapes.☆129Updated 3 years ago
- Code and data to reproduce analyses in Biswas et al. (2020) "Low-N protein engineering with data-efficient deep learning".☆59Updated 4 years ago
- MSA Transformer reproduction code☆85Updated 3 years ago
- ☆127Updated 4 years ago
- ThermoNet is a computational method for quantitative prediction of the impact of single-point mutations on protein thermodynamic stabilit…☆118Updated last year
- AbLang: A language model for antibodies☆148Updated 2 years ago