Sinwang404 / DeepDDsLinks
☆32Updated 4 years ago
Alternatives and similar repositories for DeepDDs
Users that are interested in DeepDDs are comparing it to the libraries listed below
Sorting:
- ☆32Updated 4 years ago
- ☆15Updated 3 years ago
- ☆95Updated 2 years ago
- Interpretable bilinear attention network with domain adaptation improves drug-target prediction.☆140Updated 2 years ago
- ☆13Updated 4 years ago
- ☆81Updated last year
- HyperAttentionDTI: improving drug–protein interaction prediction by sequence-based deep learning with attention mechanism. This repositor…☆45Updated 4 years ago
- REDDA: integrating multiple biological relations to heterogeneous graph neural network for drug-disease association prediction☆19Updated last year
- ☆59Updated last year
- PyTorch implementation of "TGSA: Protein-Protein Association-Based Twin Graph Neural Networks for Drug Response Prediction with Similarit…☆23Updated 4 years ago
- codes for KPGT (Knowledge-guided Pre-training of Graph Transformer)☆122Updated last year
- Codes and models for the paper "Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction".☆83Updated 3 years ago
- Multi-modal co-attention for drug-target interaction annotation and Its Application to SARS-CoV-2☆18Updated 2 years ago
- ☆40Updated last year
- DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences☆78Updated 3 years ago
- The code for SAG-DTA: Prediction of Drug–Target Affinity Using Self-Attention Graph Network.☆11Updated 4 years ago
- ☆25Updated 4 years ago
- ☆24Updated 2 years ago
- ☆47Updated 2 years ago
- A unified framework for predicting drug-target interactions, binding affinities and activation/inhibition mechanisms.☆53Updated 6 months ago
- This is The repository for Paper "AttentionSiteDTI: Attention Based Model for Predicting Drug-Target Interaction Using Graph Representati…☆46Updated 2 years ago
- ☆27Updated last month
- K-BERT for molecular property prediction.☆31Updated 3 years ago
- GraphCDR: A graph neural network method with contrastive learning for cancer drug response prediction☆30Updated 4 years ago
- BridgeDPI: A Novel Graph Neural Network for Predicting Drug-Protein Interactions☆20Updated last year
- ☆13Updated 2 years ago
- GraphDTA: Predicting drug-target binding affinity with graph neural networks☆292Updated 4 years ago
- ☆14Updated 5 years ago
- ☆47Updated 2 years ago
- MONN: a Multi-Objective Neural Network for Predicting Pairwise Non-Covalent Interactions and Binding Affinities between Compounds and Pro…☆104Updated 5 years ago