Exploring the potential of new acetylated unsaturated Oxindole derivatives as multi-target inhibitors for BACE1 and BuChE

Alzheimer's disease (AD) is the most common form of dementia worldwide, accounting for an estimated 60-70 % of cases. β-secretase 1 (BACE1), is one of the main therapeutic targets involved in the disease's pathology, as it is involved in the production of amyloid β. Butrylcholinesterase (BuChE) which is active in the advanced stages of the disease, is targeted for symptomatic relief. AD is a complex illness that needs to be tackled from different angles for which the Multi-target inhibitor approach is a viable current strategy. This work focuses on the development of novel acyl-oxindole molecules - some containing fluorine units, obtained via a structure-based drug design approach, for inhibition of BACE1 and BuChE. This study explored the development of a sustainable metal-based synthetic procedure for rapid and sustainable assess of libraries of these new oxindole derivatives. The compounds were screened to determine their ability to inhibit BACE1, and demonstrated reasonable levels of inhibition, with some of these inhibitors being selected for docking studies to determine the binding mode to the target's active site. One of the key molecules 12a underwent a cytotoxicity screen in a mouse neuroblastoma cell line expressing the APPswe protein (N2A-APPswe cells) and was an inhibitor of both AChE and BuChE (more potent against the latter, including the human version). Some compounds (3a, 3b, 3i and 12a) have shown moderate BuChE inhibitory activity.

Authors

Institutions

Publication Details

Journal
Bioorganic & Medicinal Chemistry
Published
2025-09-27
DOI
https://doi.org/10.1016/j.bmc.2025.118419
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring the potential of new acetylated unsaturated Oxindole derivatives as multi-target inhibitors for BACE1 and BuChE

Alfonso T. García‐Sosa, Mariana Pinto, Elisabete P. Carreiro, Anthony J. Burke et al.
Bioorganic & Medicinal Chemistry
Computational Drug Discovery Methods
article

Exploring the potential of new acetylated unsaturated Oxindole derivatives as multi-target inhibitors for BACE1 and BuChE

Alfonso T. García‐Sosa, Mariana Pinto, Elisabete P. Carreiro, Anthony J. Burke, Rosa Resende, Armanda E. Santos, Catarina A Montargil
article en

Abstract

Alzheimer's disease (AD) is the most common form of dementia worldwide, accounting for an estimated 60-70 % of cases. β-secretase 1 (BACE1), is one of the main therapeutic targets involved in the disease's pathology, as it is involved in the production of amyloid β. Butrylcholinesterase (BuChE) which is active in the advanced stages of the disease, is targeted for symptomatic relief. AD is a complex illness that needs to be tackled from different angles for which the Multi-target inhibitor approach is a viable current strategy. This work focuses on the development of novel acyl-oxindole molecules - some containing fluorine units, obtained via a structure-based drug design approach, for inhibition of BACE1 and BuChE. This study explored the development of a sustainable metal-based synthetic procedure for rapid and sustainable assess of libraries of these new oxindole derivatives. The compounds were screened to determine their ability to inhibit BACE1, and demonstrated reasonable levels of inhibition, with some of these inhibitors being selected for docking studies to determine the binding mode to the target's active site. One of the key molecules 12a underwent a cytotoxicity screen in a mouse neuroblastoma cell line expressing the APPswe protein (N2A-APPswe cells) and was an inhibitor of both AChE and BuChE (more potent against the latter, including the human version). Some compounds (3a, 3b, 3i and 12a) have shown moderate BuChE inhibitory activity.

Bioorganic & Medicinal ChemistryVol. 131
University of Évora (PT), University of Tartu (EE), University of Coimbra (PT)
Openalex Percentile: Top 72%
Computational Drug Discovery Methods
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.