Quantum-to-Classical Neural Network Transfer Learning Applied to Drug Toxicity Prediction-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Quantum-to-Classical Neural Network Transfer Learning Applied to Drug Toxicity Prediction

Published:2024-05-25 Issue:11 Volume:20 Page:4901-4908
ISSN:1549-9618
Container-title:Journal of Chemical Theory and Computation
language:en
Short-container-title:J. Chem. Theory Comput.

Author:

Smaldone Anthony M.¹^ORCID,Batista Victor S.¹^ORCID

Affiliation:

1. Department of Chemistry, Yale University, New Haven 06511, Connecticut, United States

Funder

Yale University

National Energy Research Scientific Computing Center

National Institutes of Health

National Science Foundation

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jctc.4c00432

Reference67 articles.

1. Why 90% of clinical drug development fails and how to improve it?

2. Research and Development in the Pharmaceutical Industry | Congressional Budget Office. 2021; https://www.cbo.gov/publication/57126, (accessed 2024-04-08).

3. Artificial intelligence for natural product drug discovery

4. Artificial Intelligence and Machine Learning Technology Driven Modern Drug Discovery and Development

5. Machine learning for small molecule drug discovery in academia and industry

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP