Literature DB >> 27111489

Determination of the protonation state for the catalytic dyad in β-secretase when bound to hydroxyethylamine transition state analogue inhibitors: A molecular dynamics simulation study.

Carlos Gueto-Tettay1, Roberto Pestana-Nobles1, Juan Carlos Drosos-Ramirez2.   

Abstract

BACE1 is an aspartyl protease of pharmacological interest for its direct participation in Alzheimer's disease (AD) through β-amyloid peptide production. Two aspartic acid residues are present in the BACE1 catalytic region which can adopt multiple protonation states depending on the chemical nature of its inhibitors, i.e., monoprotonated, diprotonated and di-deprotonated states. In the present study a series of protein-ligand molecular dynamics (MD) simulations was carried out to identify the most feasible protonation state adopted by the catalytic dyad in the presence of hydroxyethylamine transition state analogue inhibitors. The MD trajectories revealed that the di-deprotonated state is most prefered in the presence of hydroxyethilamine (HEA) family inhibitors. This appears as a result after evaluating, for all 9 protonation state configurations during the simulation time, the deviations of a set of distances and dihedral angles measured on the ligand, protein and protein-ligand complex with reference to an X-ray experimental BACE1/HEA crystallographic structure. These results will help to clarify the phenomena related to the HEAs inhibitory pathway, and improve HEAs databases' virtual screening and ligand design processes targeting β-secretase protein.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Alzheimer’s disease (AD); Aspartatic dyad; BACE1; Gromacs; Hydroxyethylamine (HEA); Protonation state

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Year:  2016        PMID: 27111489     DOI: 10.1016/j.jmgm.2016.04.003

Source DB:  PubMed          Journal:  J Mol Graph Model        ISSN: 1093-3263            Impact factor:   2.518


  2 in total

1.  Perfluorinated compounds binding to estrogen receptor of different species: a molecular dynamic modeling.

Authors:  Kaili Qu; Juanjuan Song; Yu Zhu; Yaquan Liu; Chunyan Zhao
Journal:  J Mol Model       Date:  2018-12-05       Impact factor: 1.810

2.  Changing Paradigm from one Target one Ligand Towards Multi-target Directed Ligand Design for Key Drug Targets of Alzheimer Disease: An Important Role of In Silico Methods in Multi-target Directed Ligands Design.

Authors:  Akhil Kumar; Ashish Tiwari; Ashok Sharma
Journal:  Curr Neuropharmacol       Date:  2018       Impact factor: 7.363

  2 in total

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