mikejhuang / PhageProtVecLinks
Amino Acid Embedding Representation as Machine Learning Features
☆20Updated 7 years ago
Alternatives and similar repositories for PhageProtVec
Users that are interested in PhageProtVec are comparing it to the libraries listed below
Sorting:
- The repository contains all the code for the paper amino acid encoding using deep learning application☆21Updated last year
- Function prediction using a deep ontology-aware classifier☆84Updated 2 years ago
- PyTorch implementation of bimodal neural networks for drug-cell (pharmarcogenomics) and drug-protein (proteochemometrics) interaction pre…☆54Updated 2 months ago
- A convolutional neural network to predict PPI interactions☆42Updated 7 years ago
- Deep-learning empowered prediction and generation of immunogenic epitopes for T cell immunity☆73Updated 2 years ago
- Python package and command line tool for epitope prediction☆52Updated last year
- A deep learning framework for high-throughput mechanism-driven phenotype screening☆50Updated 4 years ago
- ERGO is a deep learing based model for predicting TCR-peptide binding.☆18Updated 3 years ago
- ☆48Updated 10 months ago
- Prediction of binding residues for metal ions, nucleic acids, and small molecules.☆34Updated last month
- ☆36Updated 2 years ago
- Code for the analyses in the human reference interactome paper.☆28Updated 2 years ago
- Code for reproducing results of "Unsupervised embeddings is all you need for protein function prediction"☆41Updated 2 years ago
- Analysis and figure code from Alley et al. 2019.☆59Updated 2 years ago
- Interpretation by Deep Generative Masking for Biological Sequences☆37Updated 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
- ☆23Updated 2 years ago
- Official repository for the paper "Large-scale clinical interpretation of genetic variants using evolutionary data and deep learning". Jo…☆65Updated 3 years ago
- Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."☆70Updated last year
- Learning Protein Constitutive Motifs from Sequence Data: RBM toolbox☆20Updated 6 years ago
- Geometry-aware protein binding site predictor☆24Updated last year
- A Python-based Effective Feature Generation Tool from DNA, RNA, and Protein Sequences☆97Updated 3 years ago
- ☆36Updated 9 months ago
- ☆25Updated last year
- A repository for neural representational learning of RNA secondary structures☆32Updated 5 years ago
- Python package for peptide sequence generation, peptide descriptor calculation and sequence analysis.☆61Updated 7 months ago
- Evolutionary velocity with protein language models☆94Updated 2 years ago
- End-to-end deep learning toolkit for predicting protein binding sites and motifs.☆45Updated 6 years ago
- Prediction of B-cell epitopes from amino acid sequences using deep neural networks.☆17Updated 3 years ago
- Stochastic Sequence Propagation - A Keras Model for optimizing DNA, RNA and protein sequences based on a predictor☆50Updated last year