Combining Virtual Screening Protocol and In Vitro Evaluation towards the Discovery of BACE1 Inhibitors
The treatment options for a patient diagnosed with Alzheimer’s disease (AD) are currently limited. The cerebral accumulation of amyloid-β (Aβ) is a critical molecular event in the pathogenesis of AD. When the amyloidogenic β-secretase (BACE1) is inhibited, the production of Aβ peptide is reduced. He...
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doaj-b956f6a9c4874660b56c184c163a53d92020-11-25T03:49:28ZengMDPI AGBiomolecules2218-273X2020-04-011053553510.3390/biom10040535Combining Virtual Screening Protocol and In Vitro Evaluation towards the Discovery of BACE1 InhibitorsJudite R. M. Coimbra0Salete J. Baptista1Teresa C. P. Dinis2Maria M. C. Silva3Paula I. Moreira4Armanda E. Santos5Jorge A. R. Salvador6Laboratory of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Coimbra, 3000-548 Coimbra, PortugalCenter for Innovative Biomedicine and Biotechnology (CIBB), Center for Neuroscience and Cell Biology (CNC), University of Coimbra, 3004-504 Coimbra, PortugalCenter for Innovative Biomedicine and Biotechnology (CIBB), Center for Neuroscience and Cell Biology (CNC), University of Coimbra, 3004-504 Coimbra, PortugalLaboratory of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Coimbra, 3000-548 Coimbra, PortugalCenter for Innovative Biomedicine and Biotechnology (CIBB), Center for Neuroscience and Cell Biology (CNC), University of Coimbra, 3004-504 Coimbra, PortugalCenter for Innovative Biomedicine and Biotechnology (CIBB), Center for Neuroscience and Cell Biology (CNC), University of Coimbra, 3004-504 Coimbra, PortugalLaboratory of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Coimbra, 3000-548 Coimbra, PortugalThe treatment options for a patient diagnosed with Alzheimer’s disease (AD) are currently limited. The cerebral accumulation of amyloid-β (Aβ) is a critical molecular event in the pathogenesis of AD. When the amyloidogenic β-secretase (BACE1) is inhibited, the production of Aβ peptide is reduced. Henceforth, the main goal of this study is the discovery of new small bioactive molecules that potentially reach the brain and inhibit BACE1. The work was conducted by a customized molecular modelling protocol, including pharmacophore-based and molecular docking-based virtual screening (VS). Structure-based (SB) and ligand-based (LB) pharmacophore models were designed to accurately screen several drug-like compound databases. The retrieved hits were subjected to molecular docking and in silico filtered to predict their ability to cross the blood–brain barrier (BBB). Additionally, 34 high-scoring compounds structurally distinct from known BACE1 inhibitors were selected for in vitro screening assay, which resulted in 13 novel hit-compounds for this relevant therapeutic target. This study disclosed new BACE1 inhibitors, proving the utility of combining computational and in vitro approaches for effectively predicting anti-BACE1 agents in the early drug discovery process.https://www.mdpi.com/2218-273X/10/4/535Alzheimer’s disease (AD)amyloid-β (Aβ)BACE1small bioactive moleculesvirtual screeningpharmacophore modelling |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Judite R. M. Coimbra Salete J. Baptista Teresa C. P. Dinis Maria M. C. Silva Paula I. Moreira Armanda E. Santos Jorge A. R. Salvador |
spellingShingle |
Judite R. M. Coimbra Salete J. Baptista Teresa C. P. Dinis Maria M. C. Silva Paula I. Moreira Armanda E. Santos Jorge A. R. Salvador Combining Virtual Screening Protocol and In Vitro Evaluation towards the Discovery of BACE1 Inhibitors Biomolecules Alzheimer’s disease (AD) amyloid-β (Aβ) BACE1 small bioactive molecules virtual screening pharmacophore modelling |
author_facet |
Judite R. M. Coimbra Salete J. Baptista Teresa C. P. Dinis Maria M. C. Silva Paula I. Moreira Armanda E. Santos Jorge A. R. Salvador |
author_sort |
Judite R. M. Coimbra |
title |
Combining Virtual Screening Protocol and In Vitro Evaluation towards the Discovery of BACE1 Inhibitors |
title_short |
Combining Virtual Screening Protocol and In Vitro Evaluation towards the Discovery of BACE1 Inhibitors |
title_full |
Combining Virtual Screening Protocol and In Vitro Evaluation towards the Discovery of BACE1 Inhibitors |
title_fullStr |
Combining Virtual Screening Protocol and In Vitro Evaluation towards the Discovery of BACE1 Inhibitors |
title_full_unstemmed |
Combining Virtual Screening Protocol and In Vitro Evaluation towards the Discovery of BACE1 Inhibitors |
title_sort |
combining virtual screening protocol and in vitro evaluation towards the discovery of bace1 inhibitors |
publisher |
MDPI AG |
series |
Biomolecules |
issn |
2218-273X |
publishDate |
2020-04-01 |
description |
The treatment options for a patient diagnosed with Alzheimer’s disease (AD) are currently limited. The cerebral accumulation of amyloid-β (Aβ) is a critical molecular event in the pathogenesis of AD. When the amyloidogenic β-secretase (BACE1) is inhibited, the production of Aβ peptide is reduced. Henceforth, the main goal of this study is the discovery of new small bioactive molecules that potentially reach the brain and inhibit BACE1. The work was conducted by a customized molecular modelling protocol, including pharmacophore-based and molecular docking-based virtual screening (VS). Structure-based (SB) and ligand-based (LB) pharmacophore models were designed to accurately screen several drug-like compound databases. The retrieved hits were subjected to molecular docking and in silico filtered to predict their ability to cross the blood–brain barrier (BBB). Additionally, 34 high-scoring compounds structurally distinct from known BACE1 inhibitors were selected for in vitro screening assay, which resulted in 13 novel hit-compounds for this relevant therapeutic target. This study disclosed new BACE1 inhibitors, proving the utility of combining computational and in vitro approaches for effectively predicting anti-BACE1 agents in the early drug discovery process. |
topic |
Alzheimer’s disease (AD) amyloid-β (Aβ) BACE1 small bioactive molecules virtual screening pharmacophore modelling |
url |
https://www.mdpi.com/2218-273X/10/4/535 |
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