hetong007 / SimBoost
☆7Updated 7 years ago
Related projects: ⓘ
- This is the repository containing the source code for my Master's thesis research, about predicting drug-target interaction using deep le…☆41Updated 5 years ago
- Deep learning-based drug-target interaction prediction / Deep belief net (DBN) based on Theano☆47Updated 5 years ago
- Algorithms for prediction of drug-target interactions via computational (chemogenomic) methods☆43Updated 5 years ago
- Deep Generative Models for Drug Combination (Graph Set) Generation given Hierarchical Disease Network Embedding☆30Updated last year
- ☆14Updated 4 years ago
- HyperAttentionDTI: improving drug–protein interaction prediction by sequence-based deep learning with attention mechanism. This repositor…☆35Updated 3 years ago
- NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions☆73Updated 3 years ago
- ☆12Updated 3 years ago
- Compute protein contact map from PDB file.☆10Updated 7 years ago
- This repository provides an implementation of the DTiGEMSplus tool, a network-based method for computational Drug-Target Interaction pred…☆27Updated 2 years ago
- MONN: a Multi-Objective Neural Network for Predicting Pairwise Non-Covalent Interactions and Binding Affinities between Compounds and Pro…☆100Updated 3 years ago
- ☆19Updated last year
- ☆65Updated 4 years ago
- ☆75Updated 2 years ago
- DeepCDA☆12Updated 4 years ago
- a novel DTA predition method using graph neural network☆70Updated last year
- ☆10Updated last year
- Protein Interface Prediction using Graph Convolutional Networks☆91Updated 3 years ago
- InterpretableDTIP☆19Updated 6 years ago
- A bi-directional attention neural network for compound–protein interaction and binding affinity prediction.☆29Updated last year
- ☆14Updated 4 years ago
- Fast and easy contact prediction.☆35Updated 3 months ago
- Predicting Drug Protein Interaction using Quasi-Visual Question Answering System☆101Updated last month
- Long short-term memory recurrent neural networks for learning peptide and protein sequences to later design new, similar examples.☆71Updated last year
- ☆24Updated 6 months ago
- Protein-compound affinity prediction through unified RNN-CNN☆136Updated 2 months ago
- Drug-target binding affinity prediction using representation learning, graph mining, and machine learning☆24Updated 2 years ago
- Emap2sec is a computational tool to identify protein secondary structures☆16Updated last month
- Recent application of graph neural network in drug discovery☆10Updated 4 years ago
- Help file for running the scripts to learn and evaluate graph convolution networks for epitope and paratope prediction☆30Updated 4 years ago