eternagame / EternaBrainLinks
Deep learning to solve RNA design puzzles
☆19Updated 10 months ago
Alternatives and similar repositories for EternaBrain
Users that are interested in EternaBrain are comparing it to the libraries listed below
Sorting:
- Homology reduced UniProt, train-/valid-/testsets for language modeling☆16Updated 3 years ago
- inferring sequence-structure motifs using deep learning☆40Updated 2 years ago
- ☆26Updated 6 years ago
- Modelling the Language of Life - Deep Learning Protein Sequences☆75Updated 4 years ago
- Supplementary data for the ACME algorithm☆23Updated 3 years ago
- Protein function prediction using a variational autoencoder☆93Updated 7 years ago
- iDeepV: predicting RBP binding sites using vector representation learned from sequences with a CNN.☆10Updated 6 years ago
- ☆49Updated last year
- ☆25Updated 3 years ago
- ☆52Updated 5 years ago
- End-to-end deep learning toolkit for predicting protein binding sites and motifs.☆45Updated 6 years ago
- MHCAttnNet: Allele-Peptide predictions for class I & class II MHC alleles☆30Updated 4 years ago
- Improving RNA structure prediction through multitask learning on diverse crowdsourced data.☆64Updated last year
- insilico Pathway Activation Network Decomposition Analysis (iPANDA) package. Owned by Insilico Medicine Inc. iPANDA is a pathway analysis…☆29Updated 8 years ago
- Package for processing and analyzing glycans and their role in biology.☆83Updated this week
- Function prediction using a deep ontology-aware classifier☆85Updated 3 years ago
- A convolutional neural network to predict PPI interactions☆42Updated 7 years ago
- ERGO is a deep learing based model for predicting TCR-peptide binding.☆18Updated 3 years ago
- PyTorch implementation of bimodal neural networks for drug-cell (pharmarcogenomics) and drug-protein (proteochemometrics) interaction pre…☆54Updated 4 months ago
- A Python package for extracting protein sequence features☆62Updated 3 years ago
- A sequence-based pan model for peptide-MHC II binding affinity prediction.☆21Updated 3 years ago
- A Python-based Effective Feature Generation Tool from DNA, RNA, and Protein Sequences☆97Updated 3 years ago
- Protein sequence classification with self-supervised pretraining☆82Updated 4 years ago
- Interpretation by Deep Generative Masking for Biological Sequences☆37Updated 4 years ago
- Stochastic Sequence Propagation - A Keras Model for optimizing DNA, RNA and protein sequences based on a predictor☆50Updated last year
- This repository contains code for reproducing results in our paper Interpreting Potts and Transformer Protein Models Through the Lens of …☆58Updated 3 years ago
- ☆25Updated 3 years ago
- ☆34Updated 5 years ago
- Learning Protein Constitutive Motifs from Sequence Data: RBM toolbox☆20Updated 6 years ago
- DistilProtBert implementation, a distilled version of ProtBert model.☆15Updated 3 years ago