Superzchen / iFeature
iFeature is a comprehensive Python-based toolkit for generating various numerical feature representation schemes from protein or peptide sequences. iFeature is capable of calculating and extracting a wide spectrum of 18 major sequence encoding schemes that encompass 53 different types of feature descriptors. Furthermore, iFeature also integrates…
☆186Updated 2 years ago
Alternatives and similar repositories for iFeature:
Users that are interested in iFeature are comparing it to the libraries listed below
- Multi-task and masked language model-based protein sequence embedding models.☆99Updated 3 years ago
- Deep functional residue identification☆313Updated last year
- A software package for computing features of peptides and proteins☆56Updated 7 months ago
- iLearnPlus is the first machine-learning platform with both graphical- and web-based user interface that enables the construction of auto…☆99Updated 9 months ago
- Bilingual Language Model for Protein Sequence and Structure☆205Updated 2 weeks ago
- Protein sequence classification with self-supervised pretraining☆83Updated 3 years ago
- Modelling the Language of Life - Deep Learning Protein Sequences☆120Updated 4 years ago
- iLearn, a Python Toolkit and Web Server Integrating the Functionality of Feature Calculation, Extraction, Clustering, Feature Selection, …☆77Updated 2 years ago
- predicting peptide-protein interactions☆124Updated last year
- Evolutionary couplings from protein and RNA sequence alignments☆251Updated last month
- Modelling the Language of Life - Deep Learning Protein Sequences☆73Updated 4 years ago
- RNA Secondary Structure Prediction using an Ensemble of Two-dimensional Deep Neural Networks and Transfer Learning.☆97Updated 2 years ago
- MXfold2: RNA secondary structure prediction using deep learning with thermodynamic integration☆120Updated 2 months ago
- Install alphafold on the local machine, get out of docker.☆101Updated 3 years ago
- ☆193Updated 2 years ago
- CLEAN: a contrastive learning model for high-quality functional prediction of proteins☆241Updated 5 months ago
- Deep learning and Bayesian approach applied to enzyme turnover number for the improvement of enzyme-constrained genome-scale metabolic mo…☆140Updated last year
- A generative latent variable model for biological sequence families.☆210Updated 2 years ago
- Official repository for the paper "Large-scale clinical interpretation of genetic variants using evolutionary data and deep learning". Jo…☆163Updated 10 months ago
- ☆127Updated 3 years ago
- Python code for fine-tuning AlphaFold to perform protein-peptide binding predictions☆144Updated last year
- Protein-compound affinity prediction through unified RNN-CNN☆138Updated 6 months ago
- ☆119Updated last year
- Predicting direct protein-protein interactions with AlphaFold deep learning neural network models.☆154Updated 4 months ago
- A Python-based Effective Feature Generation Tool from DNA, RNA, and Protein Sequences☆93Updated 2 years ago
- Antibody Numbering and Antigen Receptor ClassIfication☆197Updated 7 months ago
- Efficient evolution from protein language models☆185Updated last year
- BioPhi is an open-source antibody design platform. It features methods for automated antibody humanization (Sapiens), humanness evaluatio…☆166Updated 4 months ago
- DeepGO with GOPlus axioms☆90Updated 8 months ago
- ☆102Updated last year