SAR and QSAR research on tyrosinase inhibitors using machine learning methods-Reference-Cited by-同舟云学术

SAR and QSAR research on tyrosinase inhibitors using machine learning methods

Published:2021-02-01 Issue:2 Volume:32 Page:85-110
ISSN:1062-936X
Container-title:SAR and QSAR in Environmental Research
language:en
Short-container-title:SAR and QSAR in Environmental Research

Author:

Wu Y.¹,Huo D.¹,Chen G.²,Yan A.¹

Affiliation:

1. State Key Laboratory of Chemical Resource Engineering Department of Pharmaceutical Engineering, Beijing University of Chemical Technology, Beijing, P. R. China

2. College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China

Funder

National Natural Science Foundation of China

Chemical Grid Project’ of Beijing University of Chemical Technology

Publisher

Informa UK Limited

Subject

Drug Discovery,Molecular Medicine,General Medicine,Bioengineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/1062936X.2020.1862297

Reference185 articles.

1. Tyrosinase: a comprehensive review of its mechanism

2. Crystal Structure of Agaricus bisporus Mushroom Tyrosinase: Identity of the Tetramer Subunits and Interaction with Tropolone

3. Flavonols from Heterotheca inuloides : Tyrosinase Inhibitory Activity and Structural Criteria

4. Identification of Active Site Residues Involved in Metal Cofactor Binding and Stereospecific Substrate Recognition in Mammalian Tyrosinase. Implications to the Catalytic Cycle

5. Human skin pigmentation: melanocytes modulate skin color in response to stress

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