duttaprat / proteinGAN
World’s first Protein sequence Generative Adversarial Network (ProteinGAN)
☆13Updated 5 years ago
Related projects: ⓘ
- ☆17Updated 3 years ago
- Python package for peptide sequence generation, peptide descriptor calculation and sequence analysis.☆51Updated last year
- Paratope Prediction using Deep Learning☆59Updated last year
- Fast, state-of-the-art ab initio prediction of protein secondary structure in 3 and 8 classes☆45Updated 4 years ago
- Variational autoencoder for protein sequences - add metal binding sites and generate sequences for novel topologies☆80Updated last year
- Parameter-efficient embeddings for proteins, pretrained using a contrastive loss.☆24Updated 3 years ago
- A complete, open-source, end-to-end re-implementation of the Church Lab's low-N eUniRep in silico protein engineering pipeline presented …☆26Updated 4 years ago
- NetSurfP 3.0: Protein secondary structure and relative solvent accessibility prediction☆16Updated last year
- Mutation effects predicted from sequence co-variation☆59Updated 7 years ago
- De novo protein structure prediction using iteratively predicted structural constraints☆55Updated 2 years ago
- ☆31Updated 4 years ago
- Transmembrane proteins predicted through Language Model embeddings☆26Updated 6 months ago
- ☆54Updated 5 years ago
- An unofficial re-implementation of AntiBERTy, an antibody-specific protein language model, in PyTorch.☆22Updated 5 months ago
- Improving protein function prediction with synthetic feature samples created by generative adversarial networks☆21Updated 3 years ago
- deep protein solubility prediction☆34Updated 5 years ago
- Code and data to reproduce analyses in Biswas et al. (2020) "Low-N protein engineering with data-efficient deep learning".☆56Updated 3 years ago
- Collecting AMP MIC data from different sources, then running a GAN to output promising sequences☆65Updated last month
- RaptorX-Property: a Standalone Package for Protein Structure Property Prediction☆15Updated 5 years ago
- Embedding-based annotation transfer (EAT) uses Euclidean distance between vector representations (embeddings) of proteins to transfer ann…☆27Updated last year
- The code used to generate the results from Parkinson / Hard et al. 2022☆16Updated last year
- ☆29Updated 4 years ago
- Analysis and figure code from Alley et al. 2019.☆58Updated last year
- Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."☆70Updated 4 months ago
- DISTEVAL: A web-server for evaluating protein inter-residue distances☆18Updated 2 years ago
- Pseudo Likelihood Maximization for protein in Julia☆48Updated last year
- A structure-based, alignment-free embedding approach for proteins. Can be used as input to machine learning algorithms.☆37Updated last year
- Protein sequence classification with self-supervised pretraining☆83Updated 2 years ago
- RNA Multiple Sequence Alignment☆24Updated last year
- ☆33Updated last year