smu-tao-group / ADMET_XGBoostLinks
Accurate ADMET Prediction with XGBoost
☆38Updated 2 years ago
Alternatives and similar repositories for ADMET_XGBoost
Users that are interested in ADMET_XGBoost are comparing it to the libraries listed below
Sorting:
- ☆46Updated last year
- ☆30Updated last year
- A platform for systematic ADME evaluation of drug molecules, thereby accelerating the drug discovery process.☆72Updated last year
- InteractionGraphNet: a Novel and Efficient Deep Graph Representation Learning Framework for Accurate Protein-Ligand Interaction Predictio…☆46Updated 2 years ago
- ☆27Updated 2 years ago
- ☆37Updated 5 months ago
- The official PyTorch implementation of PGMG: A Pharmacophore-Guided Deep Learning Approach for Bioactive Molecule Generation.☆63Updated last year
- Code to perform scaffold hopping and virtual screening using WHALES descriptors.☆31Updated 4 years ago
- ☆25Updated 5 years ago
- DeepRMSD+Vina is a computational framework that integrates ligand binding pose optimization and screening.☆42Updated last year
- Incorporation of conformational space profile into molecular representation learning, and its application to drug discovery, including vi…☆55Updated last month
- ☆27Updated 2 years ago
- ☆17Updated 2 years ago
- ☆55Updated last year
- ☆42Updated 3 years ago
- ☆56Updated 2 years ago
- ☆30Updated 3 years ago
- ☆16Updated 3 years ago
- ☆58Updated last year
- MGA☆44Updated 4 years ago
- Graph variational encoders for drug engineering and potentiation☆30Updated 2 years ago
- Implementation of DiffDock-Pocket: Diffusion for Pocket-Level Docking with Side Chain Flexibility☆32Updated last year
- ☆20Updated 2 years ago
- The graph-convolutional neural network for pka prediction☆82Updated last year
- ☆25Updated last year
- De novo drug design with deep interactome learning☆36Updated 2 months ago
- Comprehensive cardiotoxicity prediction tool of small molecules on three targets: hERG, Nav1.5, Cav1.2☆19Updated 11 months ago
- Official Github for "PharmacoNet: deep learning-guided pharmacophore modeling for ultra-large-scale virtual screening" (Chemical Science)☆76Updated last month
- This is a machine-learning based protein-ligand scoring function.☆51Updated 4 years ago
- Automatic Fragment Linking with Deep Conditional Transformer Neural Networks☆56Updated 3 years ago