nrohani / NDD
Drug-Drug Interaction Predicting by Neural Network Using Integrated Similarity
☆30Updated 4 years ago
Alternatives and similar repositories for NDD:
Users that are interested in NDD are comparing it to the libraries listed below
- Python package is for paper 'Predicting potential drug-drug interactions by integrating chemical, biological, phenotypic and network data…☆34Updated 8 years ago
- SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks (Scientific Reports)☆65Updated 4 years ago
- ☆61Updated 6 years ago
- Interpreting graph convolutional filters of target prediction network☆48Updated 6 years ago
- CASTER: Predicting Drug Interactions with Chemical Substructure Representation (AAAI 2020)☆26Updated 4 years ago
- Molecular Generation for Desired Transcriptome Changes with Adversarial Autoencoders☆52Updated 4 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
- DeepGS: Deep Representation Learning of Graphs and Sequences for Drug-Target Binding Affinity Prediction (ECAI 2020)☆26Updated 4 years ago
- Deep Generative Models for Drug Combination (Graph Set) Generation given Hierarchical Disease Network Embedding☆30Updated 2 years ago
- Machine learning notebooks and code used for demonstration purposes☆24Updated 4 years ago
- ☆98Updated 4 years ago
- code for Zagidullin et al 2021 "Comparative analysis of molecular fingerprints in prediction of drug combination effects"☆16Updated 2 years ago
- Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)☆94Updated 2 years ago
- Mol2vec notebooks for use with Binder service☆29Updated 7 years ago
- Algorithms for prediction of drug-target interactions via computational (chemogenomic) methods☆44Updated 6 years ago
- NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions☆77Updated 3 years ago
- Multiobjective De Novo Drug Design with Recurrent Neural Networks and Nondominated Sorting☆18Updated 5 years ago
- ☆16Updated 3 years ago
- Three-Dimensionally Embedded Graph Convolutional Network (3DGCN) for Molecule Interpretation☆55Updated 6 years ago
- ☆27Updated 4 years ago
- DEEPScreen: Virtual Screening with Deep Convolutional Neural Networks Using Compound Images☆111Updated 9 months ago
- AAAI 2020: Chemically Interpretable Graph Interaction Network for Prediction of Pharmacokinetic Properties of Drug-like Molecules☆35Updated 3 years ago
- Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction. ICML 2020 Graph Representation Learning and Beyond (GRL+) Workshop☆29Updated 4 years ago
- ☆16Updated 7 years ago
- a novel DTA predition method using graph neural network☆73Updated last year
- SPVec: A Word2vec-inspired feature representation method for Drug-Target Interaction Prediction☆19Updated 5 years ago
- Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network☆90Updated 5 years ago
- A Python package for drug discovery by analyzing causal paths on multiscale networks☆26Updated 9 months ago
- This is a code for compound-protein interaction (CPI) prediction based on a graph neural network (GNN) for compounds and a convolutional …☆162Updated 4 years ago
- Deep learning-based drug-target interaction prediction / Deep belief net (DBN) based on Theano☆48Updated 6 years ago