kyu999 / biovec
A new approach for representing biological sequences
☆99Updated 5 months ago
Alternatives and similar repositories for biovec:
Users that are interested in biovec are comparing it to the libraries listed below
- Modelling the Language of Life - Deep Learning Protein Sequences☆72Updated 4 years ago
- ☆51Updated 4 years ago
- ☆127Updated 4 years ago
- Modelling the Language of Life - Deep Learning Protein Sequences☆119Updated 4 years ago
- Analysis and figure code from Alley et al. 2019.☆58Updated last year
- Protein function prediction using a variational autoencoder☆93Updated 6 years ago
- A Python package for extracting protein sequence features☆58Updated 2 years ago
- Paratope Prediction using Deep Learning☆59Updated last year
- ☆108Updated 2 years ago
- Variational autoencoder for protein sequences - add metal binding sites and generate sequences for novel topologies☆83Updated last year
- PaccMann models for protein language modeling☆41Updated 3 years ago
- DeeplyTough: Learning Structural Comparison of Protein Binding Sites☆159Updated last year
- Protein sequence classification with self-supervised pretraining☆83Updated 3 years ago
- De novo protein structure prediction using iteratively predicted structural constraints☆55Updated 3 years ago
- Protein Residue-Residue Contacts from Correlated Mutations predicted quickly and accurately.☆107Updated last year
- retrieve protein sequence identifiers and metadata from http://uniprot.org☆67Updated 3 years ago
- Fully convolutional neural networks for protein residue-residue contact prediction☆44Updated 5 years ago
- Long short-term memory recurrent neural networks for learning peptide and protein sequences to later design new, similar examples.☆72Updated last year
- Fast, state-of-the-art ab initio prediction of protein secondary structure in 3 and 8 classes☆45Updated 4 years ago
- ☆58Updated 7 years ago
- ProFET: Protein Feature Engineering Toolkit for Machine Learning☆57Updated 9 years ago
- Reimplementation of the UniRep protein featurization model.☆104Updated 5 months ago
- A generative latent variable model for biological sequence families.☆213Updated 2 years ago
- Collecting AMP MIC data from different sources, then running a GAN to output promising sequences☆66Updated 6 months ago
- ☆27Updated 4 years ago
- Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."☆71Updated 9 months ago
- Protein-compound affinity prediction through unified RNN-CNN☆139Updated 6 months ago
- Inference of couplings in proteins and RNAs from sequence variation☆106Updated 2 years ago
- Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different dom…☆119Updated 3 years ago
- Parameter-efficient embeddings for proteins, pretrained using a contrastive loss.☆27Updated 4 years ago