jhmlam / NucleicNetLinks
☆36Updated 3 years ago
Alternatives and similar repositories for NucleicNet
Users that are interested in NucleicNet are comparing it to the libraries listed below
Sorting:
- ☆73Updated 5 years ago
- ☆109Updated last year
- A dataset for training and benchmarking deep learning models for RNA structure prediction☆60Updated last month
- GraphSite: protein-DNA binding site prediction using graph transformer and predicted protein structures☆62Updated last year
- ☆50Updated 2 years ago
- ☆115Updated last year
- A machine-learning package for navigating combinatorial protein fitness landscapes.☆129Updated 3 years ago
- A Python 3 version of the protein descriptor package propy☆46Updated 2 years ago
- A structure-aware interpretable deep learning model for sequence-based prediction of protein-protein interactions☆104Updated last week
- Public repository describing training and testing of AntiBERTa.☆61Updated 2 years ago
- Machine learning models for antibody sequences in PyTorch☆41Updated 4 years ago
- Fork of matteofigliuzzi/bmDCA repository for Boltzmann-machine Direct Coupling Analysis (bmDCA).☆35Updated 5 years ago
- Antibody Annotation - Annotate VH and VL sequences (FR and CDR) in Python☆30Updated 2 years ago
- ☆37Updated last year
- Code and data to reproduce analyses in Biswas et al. (2020) "Low-N protein engineering with data-efficient deep learning".☆59Updated 4 years ago
- ☆71Updated 4 years ago
- Pytorch/Python3 implementation of DeepAccNet, protein model accuracy evaluator.☆90Updated 4 years ago
- Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."☆70Updated last year
- Convenience Python APIs for antibody numbering using ANARCI☆108Updated 5 months ago
- Repository for publicly available deep learning models developed in Rosetta community☆120Updated 4 years ago
- ☆45Updated 7 months ago
- Neural networks for deep mutational scanning data☆70Updated 5 months ago
- Protein folding in Pymol☆123Updated 2 weeks ago
- Unconstrained lattice antibody-antigen bindings generator☆111Updated last year
- ☆53Updated last year
- ☆110Updated 3 years ago
- Graphinity: Equivariant Graph Neural Network Architecture for Predicting Change in Antibody-Antigen Binding Affinity☆52Updated 4 months ago
- Variational autoencoder for protein sequences - add metal binding sites and generate sequences for novel topologies☆92Updated 2 years ago
- Help file for running the scripts to learn and evaluate graph convolution networks for epitope and paratope prediction☆34Updated 5 years ago
- ☆87Updated 3 years ago