Computational modeling of curcumin-based fluorescent probe molecules

التفاصيل البيبلوغرافية
العنوان: Computational modeling of curcumin-based fluorescent probe molecules
المؤلفون: Xiaoliang Pan, Theo A. Rusmore, Enrico Benassi, Vardhan Satalkar, Yihan Shao, Elizabeth Phillips, Chongzhao Ran, Qin Wu
المصدر: Theoretical Chemistry Accounts. 138
بيانات النشر: Springer Science and Business Media LLC, 2019.
سنة النشر: 2019
مصطلحات موضوعية: 010304 chemical physics, Time-dependent density functional theory, 010402 general chemistry, Photochemistry, 01 natural sciences, Fluorescence, 0104 chemical sciences, chemistry.chemical_compound, chemistry, 0103 physical sciences, Curcumin, Moiety, Molecule, Density functional theory, Curcuminoid, Physical and Theoretical Chemistry, HOMO/LUMO
الوصف: In recent years, a series of curcumin analogs have been designed as fluorescent probes for detecting and imaging $${\text {A}}\beta$$ peptide aggregates and reactive oxygen species (ROS) in Alzheimer’s disease (AD) brains. In order to gain a better understanding of the photophysical properties of these probe molecules, a systematical computational investigation was performed using the time-dependent density functional theory (TDDFT) calculations. Computed absorption and emission wavelengths well reproduced the spectral shifts among the curcumin analogs. In particular, for a recently proposed pair of probe molecules, CRANAD-5 and CRANAD-61, for sensing ROS in preclinical studies of AD brains, their emission wavelength difference was found to arise from a delocalization of the lowest unoccupied molecular orbital of CRANAD-61 from the curcuminoid backbone to the oxalate moiety. Overall, this study reaffirms the value of employing TDDFT calculations to assist the design of new curcumin-based fluorescence probes for AD research.
تدمد: 1432-2234
1432-881X
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::d8e32e5b9716adbe1308b1861dc552b1Test
https://doi.org/10.1007/s00214-019-2415-4Test
حقوق: CLOSED
رقم الانضمام: edsair.doi...........d8e32e5b9716adbe1308b1861dc552b1
قاعدة البيانات: OpenAIRE