Superzchen / iFeatureOmega-GUI
iFeatureOmega is a comprehensive platform for generating, analyzing and visualizing more than 170 representations for biological sequences, 3D structures and ligands. To the best of our knowledge, iFeatureOmega supplies the largest number of feature extraction and analysis approaches for most molecule types compared to other pipelines. Three ver…
☆30Updated 2 years ago
Alternatives and similar repositories for iFeatureOmega-GUI:
Users that are interested in iFeatureOmega-GUI are comparing it to the libraries listed below
- iFeatureOmega is a comprehensive platform for generating, analyzing and visualizing more than 170 representations for biological sequence…☆32Updated last year
- Fast deep learning methods for large-scale protein-protein interaction screening☆36Updated this week
- Fast AlphaFold-Multimer based pipeline for Protein-Protein Interaction (PPI) screening☆36Updated 7 months ago
- ☆24Updated 3 years ago
- ☆36Updated 3 months ago
- MEGADOCK on Google Colaboratory☆16Updated last year
- Peptide library design☆23Updated 4 years ago
- Geometry-aware protein binding site predictor☆21Updated 8 months ago
- This repository contains the stand-alone tool for MusiteDeep server☆33Updated 4 years ago
- Antibody Annotation - Annotate VH and VL sequences (FR and CDR) in Python☆30Updated last year
- A Memetic Algorithm boosts accuracy and speed of all-atom protein-protein docking☆27Updated last year
- Machine learning prediction of enzyme optimum pH☆36Updated last week
- ☆22Updated last year
- Code and data used in https://doi.org/10.1101/2021.08.01.454656☆53Updated 3 years ago
- Code for the paper "DLAB - Deep learning methods for structure-basedvirtual screening of antibodies"☆31Updated 2 years ago
- HoTS: Sequence-based prediction of binding regions and drug-target interactions.☆26Updated 2 years ago
- Tools for annotation, processing and ML for antibody sequences☆27Updated last week
- ☆32Updated last week
- ☆49Updated last month
- ☆17Updated last month
- predict stability change upon mutation☆28Updated 10 months ago
- Machine learning models for antibody sequences in PyTorch☆39Updated 3 years ago
- The code used to generate the results from Parkinson / Hard et al. 2022☆17Updated last week
- ☆38Updated 7 months ago
- This repository contains code for the paper: "Tertiary motifs as building blocks for the design of protein-binding peptides"☆17Updated last year
- Predict the structure of immune receptor proteins☆48Updated 6 months ago
- Alignment-free structure prediction using protein language models☆22Updated 2 years ago
- ☆26Updated 9 months ago
- Machine learning-driven antibody design☆55Updated last year
- Predicting the effect of mutations on protein stability and protein binding affinity using pretrained neural networks and a ranking objec…☆21Updated 4 years ago