amyxlu / CPCProtLinks
Parameter-efficient embeddings for proteins, pretrained using a contrastive loss.
☆30Updated 6 months ago
Alternatives and similar repositories for CPCProt
Users that are interested in CPCProt are comparing it to the libraries listed below
Sorting:
- Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."☆71Updated last year
- Python package for peptide sequence generation, peptide descriptor calculation and sequence analysis.☆60Updated 10 months ago
- PyTorch implementation of Parapred (Liberis et al., 2018) with Paratyping (Richardson et al., 2021)☆20Updated 2 years ago
- pyFoldX: python bindings for FoldX.☆53Updated 4 years ago
- Prediction of binding residues for metal ions, nucleic acids, and small molecules.☆34Updated 4 months ago
- An unofficial re-implementation of AntiBERTy, an antibody-specific protein language model, in PyTorch.☆26Updated last year
- A Python 3 version of the protein descriptor package propy☆47Updated 2 years ago
- Paratope Prediction using Deep Learning☆61Updated 2 years ago
- A Python package for extracting protein sequence features☆62Updated 3 years ago
- An open-source deep learning framework for data mining of protein-protein interfaces or single-residue variants.☆57Updated last year
- HoTS: Sequence-based prediction of binding regions and drug-target interactions.☆28Updated 3 years ago
- PLM based active learning model for protein engineering☆84Updated last year
- This repository contains the stand-alone tool for MusiteDeep server☆35Updated 5 years ago
- Predict the structure of immune receptor proteins☆59Updated last year
- Generating and scoring novel enzyme sequences with a variety of models and metrics☆72Updated last month
- Inference code for PoET: A generative model of protein families as sequences-of-sequences☆88Updated last year
- Protein design and variant prediction using autoregressive generative models☆24Updated 2 years ago
- PaccMann models for protein language modeling☆43Updated 4 years ago
- GraphSite: protein-DNA binding site prediction using graph transformer and predicted protein structures☆61Updated last year
- A structure-based, alignment-free embedding approach for proteins. Can be used as input to machine learning algorithms.☆41Updated 2 years ago
- ☆109Updated 2 years ago
- Fragment binding prediction with ColabFold☆41Updated 2 months ago
- Antibody Annotation - Annotate VH and VL sequences (FR and CDR) in Python☆30Updated 2 years ago
- ☆36Updated last year
- ☆51Updated 2 years ago
- Neural networks for deep mutational scanning data☆72Updated 7 months ago
- ☆74Updated last year
- Protein language model trained on coding DNA☆53Updated last year
- Graph Network for protein-protein interface including language model features☆34Updated last year
- Antibody paratope prediction using Graph Neural Networks with minimal feature vectors☆37Updated 2 years ago