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#计算机科学#Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
#计算机科学#Deep learning toolkit for Drug Design with Pareto-based Multi-Objective optimization in Polypharmacology
A visible neural network model for drug response prediction
A collection of resources useful for leveraging big data and AI for drug discovery. It mainly serves as an orientation for new lab folks. It may be biased towards my lab interest.
Drugs Script For QB-Core 🌿
#计算机科学#A powerful and flexible machine learning platform for drug discovery
Drug-Drug Interaction Predicting by Neural Network Using Integrated Similarity
Multi-view Graph Contrastive Representation Learning for Drug-drug Interaction Prediction
migrates from swat-4-med-safety/SW-DDI-catalog/drug-drug-interactions
The Databases for Drug Discovery (DDD)
Deep Reinforcement Learning for de-novo Drug Design
#计算机科学#PyTorch implementation of bimodal neural networks for drug-cell (pharmarcogenomics) and drug-protein (proteochemometrics) interaction prediction
An advanced drug script by Project Sloth
#计算机科学#A Euclidean diffusion model for structure-based drug design.
Your love is my drug
#计算机科学#OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
#计算机科学#Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction. ICML 2020 Graph Representation Learning and Beyond (GRL+) Workshop
Drug discovery screening by deep learning.