595693085 / WGNN-DTALinks
a method for CPI and DTA prediction
☆11Updated 2 years ago
Alternatives and similar repositories for WGNN-DTA
Users that are interested in WGNN-DTA are comparing it to the libraries listed below
Sorting:
- Effective drug-target interaction prediction with mutual interaction neural network☆32Updated 3 years ago
- DeepCDA☆14Updated 5 years ago
- ☆18Updated last year
- Drug-Target Interactive Prediction Model using ChemBERTa and ProtBert☆14Updated 7 months ago
- ☆15Updated 2 years ago
- A bi-directional attention neural network for compound–protein interaction and binding affinity prediction.☆30Updated 2 years ago
- A novel graph neural network strategy with the Vina distance optimization terms to predict protein-ligand binding affinity☆31Updated last year
- ProCare: A Point Cloud Registration Approach to Align Protein Cavities☆29Updated 2 years ago
- K-BERT for molecular property prediction.☆30Updated 2 years ago
- Autoregressive fragment-based diffusion for target-aware ligand design☆29Updated last year
- ☆28Updated 2 years ago
- ☆12Updated last year
- ☆33Updated 6 months ago
- Drug-target binding affinity prediction using representation learning, graph mining, and machine learning☆24Updated 3 years ago
- AttentionDTA: drug--target binding affinity prediction by sequence-based deep learning with attention mechanism☆12Updated 3 years ago
- Source code and data of the paper entitled "iCYP-MFE: Identifying Human Cytochrome P450 Inhibitors using Multi-task Learning and Molecula…☆17Updated last year
- Towards Explainable Target-Aware Molecule Generation with Knowledge Guidance☆31Updated last year
- Bioinformatics'2022 PerceiverCPI: A nested cross-attention network for compound-protein interaction prediction☆36Updated last year
- [Bioinformatics 2022] Cross-Modality and Self-Supervised Protein Embedding for Compound-Protein Affinity and Contact Prediction☆15Updated last year
- ☆12Updated 3 years ago
- Pocket-Oriented Elaboration of Molecules: application to CDK8 inhibition☆14Updated 2 years ago
- ☆10Updated last year
- A deep learning framework for predicting interactions between protein-protein interaction targets and modulators☆14Updated last year
- ☆25Updated last week
- Implementation of ICML23 paper "Learning Subpocket Prototypes for Generalizable Structure-based Drug Design"☆29Updated last year
- Kinase–drug binding prediction with calibrated uncertainty quantification☆23Updated last year
- MolKGNN is a deep learning model for predicting biological activity or molecular properties. It features in 1. SE(3)-invariance 2. confor…☆13Updated last year
- Official implementation for ActFound (Nature Machine Intelligence): A bioactivity foundation model using pairwise meta-learning☆42Updated 7 months ago
- Multi-modal co-attention for drug-target interaction annotation and Its Application to SARS-CoV-2☆17Updated 2 years ago
- Graph variational encoders for drug engineering and potentiation☆29Updated last year