SAR study on inhibitors of GIIA secreted phospholipase A 2 using machine learning methods-Reference-Cited by-同舟云学术

SAR study on inhibitors of GIIA secreted phospholipase A 2 using machine learning methods

Published:2019-02-04 Issue:5 Volume:93 Page:666-684
ISSN:1747-0277
Container-title:Chemical Biology & Drug Design
language:en
Short-container-title:Chem Biol Drug Des

Author:

Zhang Shengde¹,Li Yang²,Qin Zijian¹,Tu Guipin¹,Chen Guang³,Yan Aixia¹^ORCID

Affiliation:

1. State Key Laboratory of Chemical Resource EngineeringDepartment of Pharmaceutical EngineeringBeijing University of Chemical Technology Beijing China

2. Institute of Science and TechnologyShandong University of Traditional Chinese Medicine Ji'nan Shandong China

3. College of Life Science and TechnologyBeijing University of Chemical Technology Beijing China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Molecular Medicine,Biochemistry,Drug Discovery,Pharmacology,Organic Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/cbdd.13470

Reference84 articles.

1. Overcoming the Limitations of a Connection Table Description: A Universal Representation of Chemical Species

2. Discovery of new non-phospholipid inhibitors of the secretory phospholipases A2

3. A novel anti‐inflammatory role for secretory phospholipase A 2 in immune complex‐mediated arthritis

4. Design of new potent and selective secretory phospholipase A2 inhibitors. Part 5: Synthesis and biological activity of 1-alkyl-4-[4,5-dihydro-1,2,4-[4H]-oxadiazol-5-one-3-ylmethylbenz-4′-yl(oyl)] piperazines

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