DrugFlow: An AI-Driven One-Stop Platform for Innovative Drug Discovery-Reference-Cited by-同舟云学术

DrugFlow: An AI-Driven One-Stop Platform for Innovative Drug Discovery

Published:2024-06-26 Issue:14 Volume:64 Page:5381-5391
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Shen Chao¹²^ORCID,Song Jianfei¹,Hsieh Chang-Yu¹²,Cao Dongsheng³^ORCID,Kang Yu²^ORCID,Ye Wenling¹,Wu Zhenxing²,Wang Jike²,Zhang Odin²,Zhang Xujun²,Zeng Hao¹,Cai Heng¹^ORCID,Chen Yu¹,Chen Linkang¹,Luo Hao¹,Zhao Xinda¹,Jian Tianye¹,Chen Tong¹,Jiang Dejun²^ORCID,Wang Mingyang²,Ye Qing²,Wu Jialu²,Du Hongyan²,Shi Hui¹,Deng Yafeng¹⁴,Hou Tingjun¹²^ORCID

Affiliation:

1. Hangzhou Carbonsilicon AI Technology Co., Ltd., Hangzhou 310018, Zhejiang, China

2. Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, Zhejiang, China

3. Xiangya School of Pharmaceutical Sciences, Central South University, Changsha 410004, Hunan, China

4. Department of Automation, Tsinghua University, Beijing 100084, China

Funder

China Postdoctoral Science Foundation

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.4c00621

Reference51 articles.

1. Computational approaches streamlining drug discovery

2. Applications of machine learning in drug discovery and development

3. Concepts of Artificial Intelligence for Computer-Assisted Drug Discovery

4. Integrating QSAR modelling and deep learning in drug discovery: the emergence of deep QSAR

5. Harnessing deep learning for enhanced ligand docking