MahaThafar / Drug-Target-Interaction-Prediciton-Method
This repository provides an implementation of the DTiGEMSplus tool, a network-based method for computational Drug-Target Interaction prediction using graph embedding, graph mining, and similarity-based techniques
☆27Updated 3 years ago
Alternatives and similar repositories for Drug-Target-Interaction-Prediciton-Method:
Users that are interested in Drug-Target-Interaction-Prediciton-Method are comparing it to the libraries listed below
- HoTS: Sequence-based prediction of binding regions and drug-target interactions.☆26Updated 2 years ago
- Deep Generative Models for Drug Combination (Graph Set) Generation given Hierarchical Disease Network Embedding☆30Updated last year
- ☆16Updated 4 years ago
- Effective drug-target interaction prediction with mutual interaction neural network☆32Updated 2 years ago
- A unified framework for predicting drug-target interactions, binding affinities and activation/inhibition mechanisms.☆15Updated last month
- a method for CPI and DTA prediction☆9Updated 2 years ago
- A bi-directional attention neural network for compound–protein interaction and binding affinity prediction.☆30Updated 2 years ago
- PyTorch implementation of "TGSA: Protein-Protein Association-Based Twin Graph Neural Networks for Drug Response Prediction with Similarit…☆24Updated 3 years ago
- This is the repository containing the source code for my Master's thesis research, about predicting drug-target interaction using deep le…☆42Updated 5 years ago
- [Bioinformatics 2022] Cross-Modality and Self-Supervised Protein Embedding for Compound-Protein Affinity and Contact Prediction☆14Updated 9 months ago
- Drug-target binding affinity prediction using representation learning, graph mining, and machine learning☆24Updated 3 years ago
- ☆12Updated 4 years ago
- ☆49Updated 6 months ago
- Multi-Channel Deep Chemogenomic Modeling of Receptor-Ligand Binding Affinity Prediction for Drug Discovery☆27Updated 3 years ago
- NodeCoder is a general framework based on graph convolutional neural network for protein function prediction.☆32Updated 10 months ago
- BridgeDPI: A Novel Graph Neural Network for Predicting Drug-Protein Interactions☆19Updated 2 months ago
- Multi-modal co-attention for drug-target interaction annotation and Its Application to SARS-CoV-2☆17Updated 2 years ago
- A novel graph neural network strategy with the Vina distance optimization terms to predict protein-ligand binding affinity☆30Updated 10 months ago
- ☆54Updated 5 years ago
- MSA-Regularized Protein Sequence Transformer toward Predicting Genome-Wide Chemical-Protein Interactions: Application to GPCRome Deorphan…☆11Updated 2 years ago
- ☆11Updated 10 months ago
- ☆12Updated 11 months ago
- contrastive learning and pre-trained encoder for protein-ligand binding sites prediction☆27Updated 2 months ago
- ☆31Updated 6 years ago
- K-BERT for molecular property prediction.☆29Updated 2 years ago
- ☆18Updated last year
- ☆16Updated 3 years ago
- SGPPI: structure-aware prediction of protein-protein interactions in rigorous conditions with graph convolutional network☆15Updated 2 years ago
- ☆51Updated 7 months ago
- GraphSite: protein-DNA binding site prediction using graph transformer and predicted protein structures☆60Updated 7 months ago