#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
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.
#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
The Databases for Drug Discovery (DDD)
A collection of research papers, datasets and software related to knowledge graphs for drug discovery. Accompanies the paper "A review of biomedical datasets relating to drug discovery: a knowledge gr...
AI drug design
Dash demo app for drug discovery
Drug discovery screening by deep learning.
Systemic Evolutionary Chemical Space Exploration for Drug Discovery
Deep generative models of 3D grids for structure-based drug discovery
Information sharing portal about nCov/SARS/MERS for drug discovery
Tangible and Practical Deep Learning Projects Repository for Healthcare such as Cancer, Drug Discovery, Genomic and More
This repository contains setup instructions and the notebooks for the AI in drug discovery workshops
Educational materials for, and related to, UC Irvine's Drug Discovery Computing Techniques course (PharmSci 175/275), currently taught by David Mobley.
Code to accompany the "Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery" manuscript (Artificial Intelligence in the Life Sciences, 2022)
Source code accompanying the 'MF-PCBA: Multi-fidelity high-throughput screening benchmarks for drug discovery and machine learning' paper
Code exploration from Deep Learning for the Life Sciences: Applying Deep Learning to Genomics, Microscopy, Drug Discovery, and More
A Python package for molecular docking with an extensive, highly-curated dataset and a set of realistic benchmark tasks for drug discovery.
The ATOM Modeling PipeLine (AMPL) is an open-source, modular, extensible software pipeline for building and sharing models to advance in silico drug discovery.
Multi-view Graph Contrastive Representation Learning for Drug-drug Interaction Prediction