Activity prediction of aminoquinoline drugs based on deep learning-Reference-Cited by-同舟云学术

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Activity prediction of aminoquinoline drugs based on deep learning

Published:2020-10-11 Issue:4 Volume:68 Page:927-937
ISSN:0885-4513
Container-title:Biotechnology and Applied Biochemistry
language:en
Short-container-title:Biotechnology and Applied Biochemistry

Author:

Wang Wenle¹,Chen Jinquan¹,Zhu Yujie¹,Feng Feng¹^ORCID

Affiliation:

1. Department of Mechanical and Electrical Engineering Jiangsu Food & Pharmaceutical Science College Huai'an China

Publisher

Wiley

Subject

Process Chemistry and Technology,Drug Discovery,Applied Microbiology and Biotechnology,Biomedical Engineering,Molecular Medicine,General Medicine,Bioengineering,Biotechnology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/bab.2016

Reference49 articles.

1. Modern agrochemical research: a missed opportunity for drug discovery?

2. Quantitative structure–activity relationship (QSAR) studies as strategic approach in drug discovery

3. Quantitative structure-activity relationship models for bitter-tasting tripeptides based on integrated descriptors

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