Superzchen / iFeatureLinks
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…
☆190Updated 3 years ago
Alternatives and similar repositories for iFeature
Users that are interested in iFeature are comparing it to the libraries listed below
Sorting:
- Multi-task and masked language model-based protein sequence embedding models.☆102Updated 3 years ago
- Modelling the Language of Life - Deep Learning Protein Sequences☆120Updated 4 years ago
- A software package for computing features of peptides and proteins☆60Updated last year
- iLearnPlus is the first machine-learning platform with both graphical- and web-based user interface that enables the construction of auto…☆108Updated last year
- Protein sequence classification with self-supervised pretraining☆82Updated 3 years ago
- iLearn, a Python Toolkit and Web Server Integrating the Functionality of Feature Calculation, Extraction, Clustering, Feature Selection, …☆81Updated 2 years ago
- RNA Secondary Structure Prediction using an Ensemble of Two-dimensional Deep Neural Networks and Transfer Learning.☆102Updated 2 weeks ago
- Modelling the Language of Life - Deep Learning Protein Sequences☆72Updated 4 years ago
- A Python-based Effective Feature Generation Tool from DNA, RNA, and Protein Sequences☆96Updated 2 years ago
- Deep functional residue identification☆322Updated 2 years ago
- ☆194Updated 3 years ago
- MXfold2: RNA secondary structure prediction using deep learning with thermodynamic integration☆132Updated 2 months ago
- Evolutionary couplings from protein and RNA sequence alignments☆267Updated 3 months ago
- Bilingual Language Model for Protein Sequence and Structure☆247Updated 5 months ago
- Deep learning and Bayesian approach applied to enzyme turnover number for the improvement of enzyme-constrained genome-scale metabolic mo…☆162Updated last year
- A generative latent variable model for biological sequence families.☆217Updated 3 years ago
- Collecting AMP MIC data from different sources, then running a GAN to output promising sequences☆79Updated 10 months ago
- A structure-aware interpretable deep learning model for sequence-based prediction of protein-protein interactions☆99Updated 8 months ago
- ☆128Updated 4 years ago
- Install alphafold on the local machine, get out of docker.☆101Updated 3 years ago
- Python package for peptide sequence generation, peptide descriptor calculation and sequence analysis.☆60Updated 2 months ago
- A Python package for extracting protein sequence features☆59Updated 2 years ago
- ☆106Updated last year
- predicting peptide-protein interactions☆131Updated last year
- Efficient evolution from protein language models☆203Updated last year
- ☆68Updated last month
- DeepGO with GOPlus axioms☆94Updated last year
- Feature Extraction Package for Biological Sequences☆59Updated 2 weeks ago
- Nature Biotechnology: Ultra-fast, sensitive detection of protein remote homologs using deep dense retrieval☆106Updated 9 months ago
- CLEAN: a contrastive learning model for high-quality functional prediction of proteins☆266Updated 2 months ago