Superzchen / iFeatureOmega-CLI
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…
☆28Updated last year
Related projects ⓘ
Alternatives and complementary repositories for iFeatureOmega-CLI
- Antibody Annotation - Annotate VH and VL sequences (FR and CDR) in Python☆28Updated last year
- Rapid protein-protein interaction network creation from multiple sequence alignments with Deep Learning☆78Updated 8 months ago
- Download pdb/protein structures using Uniprot id; This script will download related PDB files, extract chains(Optional), remove duplicate…☆38Updated 4 months ago
- This is the offical codebase to reproduce and use EVOLVEpro, a model for in silico directed evolution of protein activities using few-sho…☆60Updated this week
- Deep learning prediction of enzyme optimum pH☆25Updated 11 months ago
- ☆35Updated last month
- ☆46Updated 5 months ago
- Generator and regressor neural networks for antimicrobial peptides☆21Updated 9 months ago
- A tool for accurate prediction of a protein's secondary structure from only it's amino acid sequence☆48Updated 4 months ago
- Protein language model trained on coding DNA☆38Updated last month
- ☆64Updated 2 months ago
- ColabFold protocol☆44Updated last month
- Machine learning models for antibody sequences in PyTorch☆38Updated 3 years ago
- DeePhase predictor of homotypic liquid-liquid phase separation of proteins & the code associated with the paper "Learning the molecular g…☆14Updated 2 years ago
- iFeatureOmega is a comprehensive platform for generating, analyzing and visualizing more than 170 representations for biological sequence…☆25Updated 2 years ago
- Feature map and function annotation of Proteins☆30Updated 5 months ago
- Predict the structure of immune receptor proteins☆47Updated 2 weeks ago
- ☆29Updated 3 weeks 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
- RNA Multiple Sequence Alignment☆26Updated last year
- Nature Methods: RhoFold+, Accurate RNA 3D structure prediction using a language model-based deep learning approach☆42Updated 9 months ago
- Python package for protein sequence-based bidirectional recurrent neural network. Generalizable to a variety of protein bioinformatic app…☆17Updated 2 months ago
- Detection of remote homology by comparison of protein language model representations☆45Updated this week
- Python package for peptide sequence generation, peptide descriptor calculation and sequence analysis.☆54Updated last year
- Supporting repository for "Protein language models trained on multiple sequence alignments learn phylogenetic relationships" (https://www…☆16Updated last year
- ☆17Updated 2 years ago
- Predicting the effect of mutations on protein stability and protein binding affinity using pretrained neural networks and a ranking objec…☆19Updated 3 years ago
- Neural networks for deep mutational scanning data☆66Updated last week
- Prediction of B-cell epitopes from amino acid sequences using deep neural networks.☆15Updated 2 years ago
- ☆31Updated last year