Discovery of potential scaffolds for glutaminyl cyclase inhibitors: Virtual screening, synthesis, and evaluation-Reference-Cited by-同舟云学术

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Discovery of potential scaffolds for glutaminyl cyclase inhibitors: Virtual screening, synthesis, and evaluation

Published:2024-01 Issue: Volume:97 Page:117542
ISSN:0968-0896
Container-title:Bioorganic & Medicinal Chemistry
language:en
Short-container-title:Bioorganic & Medicinal Chemistry

Author:

Zhou Qingqing,Cai Jiaxin,Qin Feixia,Liu Jiao,Li Chenyang,Xiong Wei,Wang Yinan,Xu Chenshu,Wu Haiqiang^ORCID

Funder

National Natural Science Foundation of China

Sichuan University

Science, Technology and Innovation Commission of Shenzhen Municipality

Science and Technology Planning Project of Guangdong Province

Guangdong Provincial Applied Science and Technology Research and Development Program

Publisher

Elsevier BV

Subject

Organic Chemistry,Clinical Biochemistry,Drug Discovery,Pharmaceutical Science,Molecular Biology,Molecular Medicine,Biochemistry

Reference35 articles.

1. Discovery of highly potent human glutaminyl cyclase (QC) inhibitors as anti-Alzheimer's agents by the combination of pharmacophore-based and structure-based design;Van Manh;Eur J Med Chem,2021

2. Piperidine-4-carboxamide as a new scaffold for designing secretory glutaminyl cyclase inhibitors;Dileep;Int J Biol Macromol,2021

3. Zinc Status Alters Alzheimer's Disease Progression through NLRP3-Dependent Inflammation;Rivers-Auty;J Neurosci,2021

4. Mechanistic Insights for Drug Repurposing and the Design of Hybrid Drugs for Alzheimer's Disease;Padhi;J Med Chem,2022

5. The structure of the human glutaminyl cyclase-SEN177 complex indicates routes for developing new potent inhibitors as possible agents for the treatment of neurological disorders;Pozzi;J Biol Inorg Chem,2018

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Identification of imidazole-based small molecules to combat cognitive disability caused by Alzheimer’s disease: A molecular docking and MD simulations based approach;Computational Biology and Chemistry;2024-10

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