Machine learning approaches for elucidating the biological effects of natural products-Reference-Cited by-同舟云学术

Machine learning approaches for elucidating the biological effects of natural products

Published:2021 Issue:2 Volume:38 Page:346-361
ISSN:0265-0568
Container-title:Natural Product Reports
language:en
Short-container-title:Nat. Prod. Rep.

Author:

Zhang Ruihan¹²³⁴⁵^ORCID,Li Xiaoli¹²³⁴⁵,Zhang Xingjie¹²³⁴⁵,Qin Huayan¹²³⁴⁵,Xiao Weilie¹²³⁴⁵^ORCID

Affiliation:

1. Key Laboratory of Medicinal Chemistry for Natural Resource

2. Ministry of Education

3. Yunnan Research & Development Center for Natural Products

4. School of Chemical Science and Technology

5. Yunnan University

Abstract

This review presents the basic principles, protocols and examples of using the machine learning approaches to investigate the bioactivity of natural products.

Funder

National Natural Science Foundation of China

Publisher

Royal Society of Chemistry (RSC)

Subject

Organic Chemistry,Drug Discovery,Biochemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2021/NP/D0NP00043D

Reference129 articles.

1. Counting on natural products for drug design

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4. The potential role of in silico approaches to identify novel bioactive molecules from natural resources

5. NMR signal processing, prediction, and structure verification with machine learning techniques

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