Literature DB >> 30101700

Understanding the Binding Mechanism of Amyloid-β Inhibitors from Molecular Simulations.

Linh Tran1,2.   

Abstract

In recent years, Aβ aggregation prevention, one of the most concerned strategies in drug development has been carefully assessed to treat Alzheimer's disease. Aβ peptides can transform structurally from random coil monomer into β-stranded protofibril via multiple oligomeric states. Among the various Aβ species, the identification of binding targets has been challenging due to the heterogeneity and metastable nature. A better understanding of Aβ species' assembly details and structural properties has been more characterized recently. Numerous potential inhibitors have been identified that they can effectively bind to different Aβ species such as monomer, oligomer or protofibril during the inhibition of Aβ aggregation process. This review highlights the diversity of structural ensembles of Aβ species, from monomer to protofibril forms and the specific binding targets by their potential inhibitors. Comprehending the binding mechanism of Aβ inhibitors is indispensable for searching novel drug candidates against early-stage Alzheimer's disease. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.

Entities:  

Keywords:  Alzheimer's disease; Aβ inhibitors; Aβ species; computational approach; conformational structure; molecular simulations.

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Year:  2018        PMID: 30101700     DOI: 10.2174/1381612824666180813093420

Source DB:  PubMed          Journal:  Curr Pharm Des        ISSN: 1381-6128            Impact factor:   3.116


  2 in total

1.  Dynamics of Amyloid Formation from Simplified Representation to Atomistic Simulations.

Authors:  Phuong Hoang Nguyen; Pierre Tufféry; Philippe Derreumaux
Journal:  Methods Mol Biol       Date:  2022

2.  The F19W mutation reduces the binding affinity of the transmembrane Aβ11-40 trimer to the membrane bilayer.

Authors:  Thanh Thuy Tran; Feng Pan; Linh Tran; Christopher Roland; Celeste Sagui
Journal:  RSC Adv       Date:  2021-01-12       Impact factor: 3.361

  2 in total

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