Hydrazides Are Potent Transition-State Analogues for Glutaminyl Cyclase Implicated in the Pathogenesis of Alzheimer’s Disease

Biochemistry ◽  
2020 ◽  
Vol 59 (28) ◽  
pp. 2585-2591 ◽  
Author(s):  
Oliver Kupski ◽  
Lisa-Marie Funk ◽  
Viktor Sautner ◽  
Franziska Seifert ◽  
Brigitte Worbs ◽  
...  
2003 ◽  
Vol 70 ◽  
pp. 213-220 ◽  
Author(s):  
Gerald Koelsch ◽  
Robert T. Turner ◽  
Lin Hong ◽  
Arun K. Ghosh ◽  
Jordan Tang

Mempasin 2, a ϐ-secretase, is the membrane-anchored aspartic protease that initiates the cleavage of amyloid precursor protein leading to the production of ϐ-amyloid and the onset of Alzheimer's disease. Thus memapsin 2 is a major therapeutic target for the development of inhibitor drugs for the disease. Many biochemical tools, such as the specificity and crystal structure, have been established and have led to the design of potent and relatively small transition-state inhibitors. Although developing a clinically viable mempasin 2 inhibitor remains challenging, progress to date renders hope that memapsin 2 inhibitors may ultimately be useful for therapeutic reduction of ϐ-amyloid.


2011 ◽  
Vol 7 ◽  
pp. S524-S524
Author(s):  
Annamaria Molnar ◽  
Stephan Kurat ◽  
Stephan Schilling ◽  
Stefanie Flunkert ◽  
Hans Demuth ◽  
...  

Marine Drugs ◽  
2016 ◽  
Vol 14 (11) ◽  
pp. 203 ◽  
Author(s):  
Stephanie Hielscher-Michael ◽  
Carola Griehl ◽  
Mirko Buchholz ◽  
Hans-Ulrich Demuth ◽  
Norbert Arnold ◽  
...  

2019 ◽  
Vol 4 (35) ◽  
pp. 10591-10600 ◽  
Author(s):  
Ana Xu ◽  
Feng He ◽  
Chenggong Yu ◽  
Ying Qu ◽  
Qiuqiong Zhang ◽  
...  

Author(s):  
Omar Husham Ahmed Al-Attraqchi ◽  
Katharigatta N. Venugopala

Background: Glutaminyl cyclase (QC) is a novel target in the battle against Alzheimer’s disease, a highly prevalent neurodegenerative disorder. QC inhibitors have the potential to be developed as therapeutically useful anti-Alzheimer’s disease agents. Methods: Linear and non-linear 2D-quantitative structure–activity relationship (QSAR) models were developed using stepwise-multiple linear regression (S-MLR) and neural networks. Partial least squares (PLS) method was used to develop a 3D-QSAR model. Also, the developed models were used in a virtual screening of the ZINC database to identify potential QC inhibitors. Results: The 2D neural network model showed superior predictive ability, as demonstrated by the validation parameters R2 = 0.933, Q2 = 0.886 and R2pred = 0.911. The 3D-QSAR model’s steric and electrostatic fields’ isocontour maps were visualized and revealed important structural requirements associated with good activity. The virtual screening identified six compounds as potentially active QC inhibitors with improved pharmacokinetic profiles. Conclusion: The developed QSAR models can be used to predict the activity of compounds not yet synthesized and prioritize their synthesis and biological evaluation. Also, potentially active QC inhibitors have been identified with attractive lead-like properties that can be used to develop anti-Alzheimer’s disease agents.


2013 ◽  
Vol 34 (1) ◽  
pp. 263-271 ◽  
Author(s):  
Maria Teresa Valenti ◽  
Silvia Bolognin ◽  
Cristina Zanatta ◽  
Luca Donatelli ◽  
Giulio Innamorati ◽  
...  

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