ikmb / amino_acid_encoding_deep_learning_applications
The repository contains all the code for the paper amino acid encoding using deep learning application
☆19Updated 7 months ago
Alternatives and similar repositories for amino_acid_encoding_deep_learning_applications:
Users that are interested in amino_acid_encoding_deep_learning_applications are comparing it to the libraries listed below
- Amino Acid Embedding Representation as Machine Learning Features☆19Updated 6 years ago
- Code for reproducing results of "Unsupervised embeddings is all you need for protein function prediction"☆39Updated last year
- ☆24Updated last year
- Prediction of B-cell epitopes from amino acid sequences using deep neural networks.☆14Updated 3 years ago
- ☆30Updated last year
- Multi-Channel Deep Chemogenomic Modeling of Receptor-Ligand Binding Affinity Prediction for Drug Discovery☆27Updated 3 years ago
- A Python package for extracting protein sequence features☆58Updated 2 years ago
- ☆44Updated 2 months ago
- Evolutionary velocity with protein language models☆84Updated last year
- iFeatureOmega is a comprehensive platform for generating, analyzing and visualizing more than 170 representations for biological sequence…☆29Updated last year
- Graph-based representation learning method for protein function prediction☆24Updated 4 years ago
- Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."☆71Updated 9 months ago
- Prediction of binding residues for metal ions, nucleic acids, and small molecules.☆32Updated 2 months ago
- ☆24Updated 3 years ago
- Collecting AMP MIC data from different sources, then running a GAN to output promising sequences☆66Updated 6 months ago
- Antibody Annotation - Annotate VH and VL sequences (FR and CDR) in Python☆29Updated last year
- GraphSite: protein-DNA binding site prediction using graph transformer and predicted protein structures☆60Updated 6 months ago
- ☆33Updated last month
- Prediction of B-cell epitopes from amino acid sequences using deep neural networks.☆16Updated 2 years ago
- HoTS: Sequence-based prediction of binding regions and drug-target interactions.☆26Updated 2 years ago
- Learning Protein Constitutive Motifs from Sequence Data: RBM toolbox☆20Updated 6 years ago
- Official repository for the paper "Large-scale clinical interpretation of genetic variants using evolutionary data and deep learning". Jo…☆65Updated 2 years ago
- This repository contains the stand-alone tool for MusiteDeep server☆29Updated 4 years ago
- NLP for Proteins - A paper collection☆13Updated 4 years ago
- An R package to calculate indices and theoretical physicochemical properties of peptides and protein sequences.☆82Updated last year
- deep protein solubility prediction☆35Updated 5 years ago
- Code for generating model and predictions for CAFA5 competition 2023 (4th place solution)☆12Updated 8 months ago
- ☆15Updated 4 years ago
- Improving protein function prediction with synthetic feature samples created by generative adversarial networks☆22Updated 4 years ago
- Code and data to reproduce analyses in Biswas et al. (2020) "Low-N protein engineering with data-efficient deep learning".☆57Updated 3 years ago