Title
An overview of several inhibitors for alzheimer’s disease: Characterization and failure
Date Issued
01 October 2021
Access level
open access
Resource Type
review
Author(s)
Institute of Fundamental Technological
Publisher(s)
MDPI
Abstract
Amyloid beta (Aβ) oligomers are the most neurotoxic aggregates causing neuronal death and cognitive damage. A detailed elucidation of the aggregation pathways from oligomers to fibril formation is crucial to develop therapeutic strategies for Alzheimer’s disease (AD). Although experimental techniques rely on the measure of time-and space-average properties, they face severe difficulties in the investigation of Aβ peptide aggregation due to their intrinsically disorder character. Computer simulation is a tool that allows tracing the molecular motion of molecules; hence it complements Aβ experiments, as it allows to explore the binding mechanism between metal ions and Aβ oligomers close to the cellular membrane at the atomic resolution. In this context, integrated studies of experiments and computer simulations can assist in mapping the complete pathways of aggregation and toxicity of Aβ peptides. Aβ oligomers are disordered proteins, and due to a rapid exploration of their intrinsic conformational space in real-time, they are challenging therapeutic targets. Therefore, no good drug candidate could have been identified for clinical use. Our previous investigations identified two small molecules, M30 (2-Octahydroisoquinolin-2(1H)-ylethanamine) and Gabapentin, capable of Aβ binding and inhibiting molecular aggregation, synaptotoxicity, intracellular calcium signaling, cellular toxicity and memory losses induced by Aβ. Thus, we recommend these molecules as novel candidates to assist anti-AD drug discovery in the near future. This review discusses the most recent research investigations about the Aβ dynamics in water, close contact with cell membranes, and several therapeutic strategies to remove plaque formation.
Volume
22
Issue
19
Language
English
OCDE Knowledge area
Informática y Ciencias de la Información
Subjects
Scopus EID
2-s2.0-85116434754
PubMed ID
Source
International Journal of Molecular Sciences
ISSN of the container
16616596
Source funding
TUL Computing & Information Services Center infrastructure
Sponsor(s)
This research received fund from Dirección General de Asuntos del Personal Académico de la Universidad Nacional Autónoma de México (DGAPA-UNAM). This research financial supported by the National Science Centre, Poland, under Grant 2017/26/D/NZ1/00466, and from the Foundation for Polish Science under the grant MAB PLUS/11/2019. S.B. acknowledged Dirección General de Asuntos del Personal Académico de la Universidad Nacional Autónoma de México (DGAPA-UNAM) for a postdoctoral Fellowship. A.B.P. acknowledges the National Science Centre, Poland, and the Foundation for Polish Science. Research was supported by PL-Grid Infrastructure and the TUL Computing & Information Services Center infrastructure.
Acknowledgments: S.B. acknowledged Dirección General de Asuntos del Personal Académico de la Universidad Nacional Autónoma de México (DGAPA-UNAM) for a postdoctoral Fellowship. A.B.P. acknowledges the National Science Centre, Poland, and the Foundation for Polish Science. Research was supported by PL-Grid Infrastructure and the TUL Computing & Information Services Center infrastructure.
Sources of information:
Directorio de ProducciĂłn CientĂfica
Scopus