stamakro / GCN-for-Structure-and-FunctionLinks
Code for reproducing results of "Unsupervised embeddings is all you need for protein function prediction"
☆39Updated 2 years ago
Alternatives and similar repositories for GCN-for-Structure-and-Function
Users that are interested in GCN-for-Structure-and-Function are comparing it to the libraries listed below
Sorting:
- Protein sequence classification with self-supervised pretraining☆82Updated 3 years ago
- Function prediction using a deep ontology-aware classifier☆84Updated 2 years ago
- Prediction of binding residues for metal ions, nucleic acids, and small molecules.☆32Updated 7 months ago
- Improving protein function prediction with synthetic feature samples created by generative adversarial networks☆22Updated 4 years ago
- Transformer-based protein function Annotation with joint feature-Label Embedding☆36Updated 7 months ago
- ☆47Updated 7 months ago
- Graph-based representation learning method for protein function prediction☆24Updated 4 years ago
- Trainable representation analysis study repository☆43Updated 3 years ago
- PaccMann models for protein language modeling☆42Updated 3 years ago
- DeepGO with Fuzzy DL☆30Updated 2 years ago
- A structure-based, alignment-free embedding approach for proteins. Can be used as input to machine learning algorithms.☆37Updated 2 years ago
- Deep Generative Models for Drug Combination (Graph Set) Generation given Hierarchical Disease Network Embedding☆30Updated 2 years ago
- A Python package for extracting protein sequence features☆59Updated 2 years ago
- PyTorch implementation of bimodal neural networks for drug-cell (pharmarcogenomics) and drug-protein (proteochemometrics) interaction pre…☆51Updated last year
- Modelling the Language of Life - Deep Learning Protein Sequences☆73Updated 4 years ago
- Neural networks for deep mutational scanning data☆69Updated last month
- DistilProtBert implementation, a distilled version of ProtBert model.☆15Updated 2 years ago
- Homology reduced UniProt, train-/valid-/testsets for language modeling☆17Updated 3 years ago
- ☆19Updated 5 years ago
- A deep learning framework for high-throughput mechanism-driven phenotype screening☆50Updated 4 years ago
- Learning Protein Constitutive Motifs from Sequence Data: RBM toolbox☆20Updated 6 years ago
- Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."☆72Updated last year
- A convolutional neural network to predict PPI interactions☆42Updated 6 years ago
- Collecting AMP MIC data from different sources, then running a GAN to output promising sequences☆80Updated 11 months ago
- Deep learning protein-protein binding sites prediction☆20Updated 2 years ago
- Amino Acid Embedding Representation as Machine Learning Features☆19Updated 6 years ago
- This repository provides an implementation of the DTiGEMSplus tool, a network-based method for computational Drug-Target Interaction pred…☆27Updated 3 years ago
- ☆19Updated 5 years ago
- Analysis and figure code from Alley et al. 2019.☆59Updated 2 years ago
- A PyTorch implementation of GCN with mutual attention for protein-protein interaction prediction☆61Updated 3 years ago