Literature DB >> 21500768

Computational modeling of substrate specificity and catalysis of the β-secretase (BACE1) enzyme.

Arghya Barman1, Stephan Schürer, Rajeev Prabhakar.   

Abstract

In this combined MD simulation and DFT study, interactions of the wild-type (WT) amyloid precursor protein (APP) and its Swedish variant (SW), Lys670 → Asn and Met671 → Leu, with the beta-secretase (BACE1) enzyme and their cleavage mechanisms have been investigated. BACE1 catalyzes the rate-limiting step in the generation of 40-42 amino acid long Alzheimer amyloid beta (Aβ) peptides. All key structural parameters such as position of the flap, volume of the active site, electrostatic binding energy, structures, and positions of the inserts A, D, and F and 10s loop obtained from the MD simulations show that, in comparison to the WT-substrate, BACE1 exhibits greater affinity for the SW-substrate and orients it in a more reactive conformation. The enzyme-substrate models derived from the MD simulations were further utilized to investigate the general acid/base mechanism used by BACE1 to hydrolytically cleave these substrates. This mechanism proceeds through the following two steps: (1) formation of the gem-diol intermediate and (2) cleavage of the peptide bond. For the WT-substrate, the overall barrier of 22.4 kcal/mol for formation of the gem-diol intermediate is 3.3 kcal/mol higher than for the SW-substrate (19.1 kcal/mol). This process is found to be the rate-limiting in the entire mechanism. The computed barrier is in agreement with the measured barrier of ca. 18.00 kcal/mol for the WT-substrate and supports the experimental observation that the cleavage of the SW-substrate is 60 times more efficient than the WT-substrate.

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Year:  2011        PMID: 21500768     DOI: 10.1021/bi200081h

Source DB:  PubMed          Journal:  Biochemistry        ISSN: 0006-2960            Impact factor:   3.162


  8 in total

1.  Loss of cleavage at β'-site contributes to apparent increase in β-amyloid peptide (Aβ) secretion by β-secretase (BACE1)-glycosylphosphatidylinositol (GPI) processing of amyloid precursor protein.

Authors:  Kulandaivelu S Vetrivel; Arghya Barman; Ying Chen; Phuong D Nguyen; Steven L Wagner; Rajeev Prabhakar; Gopal Thinakaran
Journal:  J Biol Chem       Date:  2011-06-03       Impact factor: 5.157

2.  Investigation of naphthofuran moiety as potential dual inhibitor against BACE-1 and GSK-3β: molecular dynamics simulations, binding energy, and network analysis to identify first-in-class dual inhibitors against Alzheimer's disease.

Authors:  Akhil Kumar; Gaurava Srivastava; Swati Srivastava; Seema Verma; Arvind S Negi; Ashok Sharma
Journal:  J Mol Model       Date:  2017-07-24       Impact factor: 1.810

Review 3.  Effects of Glycosylation on the Enzymatic Activity and Mechanisms of Proteases.

Authors:  Peter Goettig
Journal:  Int J Mol Sci       Date:  2016-11-25       Impact factor: 5.923

4.  An automated protocol for modelling peptide substrates to proteases.

Authors:  Rodrigo Ochoa; Mikhail Magnitov; Roman A Laskowski; Pilar Cossio; Janet M Thornton
Journal:  BMC Bioinformatics       Date:  2020-12-29       Impact factor: 3.169

5.  Allostery Inhibition of BACE1 by Psychotic and Meroterpenoid Drugs in Alzheimer's Disease Therapy.

Authors:  Samuel C Ugbaja; Isiaka A Lawal; Bahijjahtu H Abubakar; Aganze G Mushebenge; Monsurat M Lawal; Hezekiel M Kumalo
Journal:  Molecules       Date:  2022-07-08       Impact factor: 4.927

6.  Cerebrospinal Aβ11-x and 17-x levels as indicators of mild cognitive impairment and patients' stratification in Alzheimer's disease.

Authors:  J-D Abraham; S Promé; N Salvetat; L Rubrecht; S Cobo; E du Paty; P Galéa; E Mathieu-Dupas; S Ranaldi; C Caillava; G-A Crémer; F Rieunier; P Robert; F Molina; D Laune; F Checler; J Fareh
Journal:  Transl Psychiatry       Date:  2013-07-16       Impact factor: 6.222

Review 7.  Computational Insights into Substrate and Site Specificities, Catalytic Mechanism, and Protonation States of the Catalytic Asp Dyad of β -Secretase.

Authors:  Arghya Barman; Rajeev Prabhakar
Journal:  Scientifica (Cairo)       Date:  2014-09-18

8.  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

  8 in total

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