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• W3137652605 endingPage "8686" @default.
• W3137652605 startingPage "8680" @default.
• W3137652605 abstract "The β-amyloid (Aβ) protein aggregation into toxic forms is one of the major factors in the Alzheimer’s disease (AD) pathology. Screening compound libraries as inhibitors of Aβ-aggregation is a common strategy to discover novel molecules as potential therapeutics in AD. In this regard, thioflavin T (ThT)-based fluorescence spectroscopy is a widely used in vitro method to identify inhibitors of Aβ aggregation. However, conventional data processing of the ThT assay experimental results generally provides only qualitative output and lacks inhibitor-specific quantitative data, which can offer a number of advantages such as identification of critical inhibitor-specific parameters required to design superior inhibitors and reduce the need to conduct extensive in vitro kinetic studies. Therefore, we carried out mathematical modeling based on logistic equation and power law (PL) model to correlate the experimental results obtained from the ThT-based Aβ40 aggregation kinetics for small-molecule inhibitors curcumin, orange G, and resveratrol and quantitatively fit the data in a logistic equation. This approach provides important inhibitor-specific parameters such as lag time λ, inflection point τ, maximum slope vm, and apparent rate constant kapp, which are particularly useful in comparing the effectiveness of potential Aβ40 aggregation inhibitors and can be applied in drug discovery campaigns to compare and contrast Aβ40 inhibition data for large compound libraries." @default.
• W3137652605 created "2021-03-29" @default.
• W3137652605 creator A5031031415 @default.
• W3137652605 creator A5051486403 @default.
• W3137652605 creator A5062454643 @default.
• W3137652605 date "2021-03-19" @default.
• W3137652605 modified "2023-09-26" @default.
• W3137652605 title "Modeling the Inhibition Kinetics of Curcumin, Orange G, and Resveratrol with Amyloid-β Peptide" @default.
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• W3137652605 doi "https://doi.org/10.1021/acsomega.1c00610" @default.
• W3137652605 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8015079" @default.
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• W3137652605 hasPublicationYear "2021" @default.
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