Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network
MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)
Python package is for paper 'Predicting potential drug-drug interactions by integrating chemical, biological, phenotypic and network data'
migrates from swat-4-med-safety/SW-DDI-catalog/drug-drug-interactions
Multi-view Graph Contrastive Representation Learning for Drug-drug Interaction Prediction
PyTorch implementation of bimodal neural networks for drug-cell (pharmarcogenomics) and drug-protein (proteochemometrics) interaction prediction
Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction. ICML 2020 Graph Representation Learning and Beyond (GRL+) Workshop
Drug-Target Interaction Prediction Using Convolutional Neural Networks By Images of Compounds
Deep learning-based drug-target interaction prediction / Deep belief net (DBN) based on Theano
Multi-modal co-attention for drug-target interaction annotation and Its Application to SARS-CoV-2
The Databases for Drug Discovery (DDD)
Project Interaction Library for Emacs
药店销售管理系统ssm(药品销售)
#计算机科学#A powerful and flexible machine learning platform for drug discovery
翻译 - 用于药物发现的强大而灵活的机器学习平台
#计算机科学#Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
翻译 - 在药物发现,量子化学,材料科学和生物学方面普及深度学习
Navigation tab strip with smooth interaction.
翻译 - 导航选项卡条具有平滑的交互作用。