2018
DOI: 10.3892/mmr.2018.9044
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Computational modeling and biomarker studies of pharmacological treatment of Alzheimer's disease (Review)

Abstract: Alzheimer's disease (AD) is a complex and multifactorial disease. In order to understand the genetic influence in the progression of AD, and to identify novel pharmaceutical agents and their associated targets, the present study discusses computational modeling and biomarker evaluation approaches. Based on mechanistic signaling pathway approaches, various computational models, including biochemical and morphological models, are discussed to explore the strategies that may be used to target AD treatment. Differ… Show more

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Cited by 17 publications
(18 citation statements)
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References 233 publications
(250 reference statements)
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“…Molecular docking experiment is best approach to study the binding conformation of ligands within the active region of target proteins . To predict the best‐fitted conformational position, the synthesized compounds, 8a–k , were docked against alkaline phosphatase.…”
Section: Resultsmentioning
confidence: 99%
“…Molecular docking experiment is best approach to study the binding conformation of ligands within the active region of target proteins . To predict the best‐fitted conformational position, the synthesized compounds, 8a–k , were docked against alkaline phosphatase.…”
Section: Resultsmentioning
confidence: 99%
“…Several computational models of AD pathologies, symptoms and treatments have been proposed, and these are covered in recent comprehensive reviews (see e.g. Cutsuridis and Moustafa, 2017a , 2017b ; Hassan et al, 2018 , and references therein). Several earlier modelling papers in systems and theoretical biology were emphasised more towards understanding the dynamics of Aβ accumulation and its interactions with other proteins ( Hassan et al (2018) ).…”
Section: Towards Multiscale Computational Modelling Of Serotonergic Smentioning
confidence: 99%
“… Cutsuridis and Moustafa, 2017a , 2017b ; Hassan et al, 2018 , and references therein). Several earlier modelling papers in systems and theoretical biology were emphasised more towards understanding the dynamics of Aβ accumulation and its interactions with other proteins ( Hassan et al (2018) ). Later modelling work encompassed the mapping of much larger number of biochemical interactions and other more data-driven, using either logic-based (Maude Petri net) models ( Anastasio, 2011 ).…”
Section: Towards Multiscale Computational Modelling Of Serotonergic Smentioning
confidence: 99%
“…Molecular docking experiments are the best approach to study the binding conformation of ligands within the active region of target proteins. [31][32][33][34] To predict the best-fitted conformational position of synthesized compounds 5a-o, they were docked against AChE, BChE, jack bean urease and α-glucosidase. The generated docked complexes were examined based on the glide docking energy values (kcal* mol -1 ) and the bonding interaction (hydrogen/hydrophobic) pattern.…”
Section: Docking Energy and Binding Interaction Patternmentioning
confidence: 99%