kyu999 / biovec
A new approach for representing biological sequences
☆98Updated last week
Related projects: ⓘ
- Modelling the Language of Life - Deep Learning Protein Sequences☆71Updated 3 years ago
- ☆51Updated 4 years ago
- ☆126Updated 3 years ago
- Protein function prediction using a variational autoencoder☆89Updated 6 years ago
- Analysis and figure code from Alley et al. 2019.☆58Updated last year
- Modelling the Language of Life - Deep Learning Protein Sequences☆116Updated 4 years ago
- Variational autoencoder for protein sequences - add metal binding sites and generate sequences for novel topologies☆80Updated last year
- Fast, state-of-the-art ab initio prediction of protein secondary structure in 3 and 8 classes☆45Updated 4 years ago
- Reimplementation of the UniRep protein featurization model.☆102Updated 2 weeks ago
- A generative latent variable model for biological sequence families.☆199Updated 2 years ago
- a python module for generating protein contact maps and distance maps☆46Updated 6 years ago
- ProFET: Protein Feature Engineering Toolkit for Machine Learning☆56Updated 9 years ago
- PaccMann models for protein language modeling☆37Updated 2 years ago
- Long short-term memory recurrent neural networks for learning peptide and protein sequences to later design new, similar examples.☆71Updated last year
- A Python package for extracting protein sequence features☆58Updated 2 years ago
- Protein Residue-Residue Contacts from Correlated Mutations predicted quickly and accurately.☆106Updated 10 months ago
- Note that current version does not include search of very large metagenome data. For some proteins, metagenome data is important. We will…☆100Updated 2 years ago
- DeeplyTough: Learning Structural Comparison of Protein Binding Sites☆154Updated last year
- retrieve protein sequence identifiers and metadata from http://uniprot.org☆67Updated 2 years ago
- ☆103Updated 2 years ago
- Protein sequence classification with self-supervised pretraining☆83Updated 2 years ago
- Protein-compound affinity prediction through unified RNN-CNN☆136Updated 2 months ago
- Mutation effects predicted from sequence co-variation☆59Updated 7 years ago
- Paratope Prediction using Deep Learning☆59Updated last year
- Multi-task and masked language model-based protein sequence embedding models.☆95Updated 3 years ago
- ☆55Updated 7 years ago
- Fully convolutional neural networks for protein residue-residue contact prediction☆44Updated 5 years ago
- Python package for peptide sequence generation, peptide descriptor calculation and sequence analysis.☆51Updated last year
- De novo protein structure prediction using iteratively predicted structural constraints☆55Updated 2 years ago
- Evolutionary velocity with protein language models☆83Updated 11 months ago