Machine learning-assisted prediction of the biological activity of aromatase inhibitors and data mining to explore similar compounds

M Ishfaq, M Aamir, F Ahmad, AM Mebed… - ACS omega, 2022 - ACS Publications
Designing molecules for drugs has been a hot topic for many decades. However, it is hard
and expensive to find a new molecule. Thus, the cost of the final drug is also increased …

ABCpred: a webserver for the discovery of acetyl-and butyryl-cholinesterase inhibitors

AA Malik, SC Ojha, N Schaduangrat… - Molecular Diversity, 2022 - Springer
Alzheimer's disease (AD) is one of the most common forms of dementia and is associated
with a decline in cognitive function and language ability. The deficiency of the cholinergic …

Design, synthesis, and biological evaluation of novel (4-(1, 2, 4-oxadiazol-5-yl) phenyl)-2-aminoacetamide derivatives as multifunctional agents for the treatment of …

T Liu, S Chen, J Du, S Xing, R Li, Z Li - European journal of medicinal …, 2022 - Elsevier
On the basis of our previous work, a novel series of (4-(1, 2, 4-oxadiazol-5-yl) phenyl)-2-
aminoacetamide derivatives were synthesized and evaluated as multifunctional ligands for …

Machine learning models for predicting the activity of AChE and BACE1 dual inhibitors for the treatment of Alzheimer's disease

G Dhamodharan, CG Mohan - Molecular Diversity, 2022 - Springer
Multi-target directed ligand-based 2D-QSAR models were developed using different N-
benzyl piperidine derivatives showing inhibitory activity toward acetylcholinesterase (AChE) …

Multi-target QSAR modeling for the identification of novel inhibitors against Alzheimer's disease

V Kumar, A Saha, K Roy - Chemometrics and Intelligent Laboratory …, 2023 - Elsevier
Alzheimer's disease (AD) is an age-related neurodegenerative disorder, which is the most
common cause of dementia in elderly individuals. It is characterized by selective neuronal …

Recent Progress in the Treatment Strategies for Alzheimer's Disease

V Kumar, K Roy - Computational Modeling of Drugs Against Alzheimer's …, 2023 - Springer
Alzheimer's disease (AD) is a neurological ailment that affects older people and causes a
steady decline in their cognitive function. The cognitive impairments found are presumed to …

Discovery of promising cholinesterase inhibitors for Alzheimer's disease treatment through DFT, docking, and molecular dynamics studies of eugenol derivatives

H Nour, A Abdou, S Belaidi, JE Jamal… - Journal of the …, 2022 - Wiley Online Library
Cholinesterase enzymes are promising drug targets for the symptomatic treatment of
Alzheimer's disease. Indeed, the activity inhibition of these acetylcholine‐degrading …

[HTML][HTML] Phytochemical profiling of Blumea laciniata (Roxb.) DC. and its phytopharmaceutical potential against diabetic, obesity, and Alzheimer's

AM Swaraz, F Sultana, MW Bari, KS Ahmed… - Biomedicine & …, 2021 - Elsevier
Abstract Blumea laciniata (Roxb.) DC. is a folk medicinal annual herb of the Asteraceae
family that grows in South and Southeast Asia. In order to evaluate its phytopharmaceutical …

Three to Tango: Inhibitory effect of quercetin and apigenin on acetylcholinesterase, amyloid-β aggregation and acetylcholinesterase-amyloid interaction

I Álvarez-Berbel, A Espargaró, A Viayna, AB Caballero… - Pharmaceutics, 2022 - mdpi.com
One of the pathological hallmarks of Alzheimer's disease (AD) is the formation of amyloid-β
plaques. Since acetylcholinesterase (AChE) promotes the formation of such plaques, the …

Multi-combined QSAR, molecular docking, molecular dynamics simulation, and ADMET of Flavonoid derivatives as potent cholinesterase inhibitors

H Soufi, M Moussaoui, S Baammi… - Journal of …, 2024 - Taylor & Francis
In searching for a new and efficient therapeutic agent against Alzheimer's disease, a
Quantitative structure-activity relationship (QSAR) was derived for 45 Flavonoid derivatives …