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Evaluation and validation of synergistic effects of amyloid-beta inhibitor–gold nanoparticles complex on Alzheimer’s disease using deep neural network approach

Published online by Cambridge University Press:  21 January 2019

Aman Chandra Kaushik ,
Ajay Kumar ,
Zhennan Peng ,
Abbas Khan ,
Muhammad Junaid ,
Arif Ali ,
Shiv Bharadwaj  and
Dong-Qing Wei Open the ORCID record for Dong-Qing Wei [Opens in a new window]
Aman Chandra Kaushik
Affiliation:
State Key Laboratory of Microbial Metabolism and School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
Ajay Kumar
Affiliation:
Department of Mechanical and Electro-Mechanical Engineering, National Sun Yat-Sen University, Kaohsiung City 804, Taiwan
Zhennan Peng
Affiliation:
College of Life Sciences, Lanzhou University, Lanzhou 730000, China
Abbas Khan
Affiliation:
State Key Laboratory of Microbial Metabolism and School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
Muhammad Junaid
Affiliation:
State Key Laboratory of Microbial Metabolism and School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
Arif Ali
Affiliation:
State Key Laboratory of Microbial Metabolism and School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
Shiv Bharadwaj
Affiliation:
Nanotechnology Research and Application Center, Sabanci University, 34956 Istanbul, Turkey
Dong-Qing Wei*
Affiliation:
State Key Laboratory of Microbial Metabolism and School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
*
a)Address all correspondence to this author. e-mail: dqwei@weislab.com
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Abstract

Numerous studies have reported that amyloid-beta 42 (Aβ-42) protein is a high-profile risk factor associated with the onset and progression of Alzheimer’s disease (AD). Accumulation of extracellular senile plaques, synaptic degeneration, and intracellular neurofibrillary tangles were recorded as essential features that facilitate the onset of Aβ-42, resulting in AD. Hence, we attempted a new screening technique to discover potential inhibitors against Aβ-42 using an in silico deep neural network approach. We screened PubChem compounds library and found wgx-50 as a potential inhibitor of Aβ-42. Also, synergistic effects of wgx-50–gold nanoparticles (AuNPs) complex induced significant inhibition of Aβ-42, compared with those of wgx-50 alone. Further, molecular docking analysis, systems biology approach, and time course simulation confirmed that synergistic effects of wgx-50–AuNPs complex have potential application in the treatment for AD. Additionally, we proposed the biological circuit for AD induced by Aβ-42 that can be used to monitor the effect of drugs on AD.

Keywords

Alzheimer’s diseaseamyloid-beta 42AuNPbiochemical pathway
Type
Article
Information
Journal of Materials Research , Volume 34 , Issue 11: Focus Issue: (Nano)materials for Biomedical Applications , 14 June 2019 , pp. 1845 - 1853
Copyright
Copyright © Materials Research Society 2019 

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