Understanding fluorescent amyloid biomarkers by computational chemistry

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dc.identifier.uri http://dx.doi.org/10.15488/14578
dc.identifier.uri https://www.repo.uni-hannover.de/handle/123456789/14696
dc.contributor.author Nguyen, Thi Minh Nghia eng
dc.date.accessioned 2023-08-29T14:03:15Z
dc.date.available 2023-08-29T14:03:15Z
dc.date.issued 2023
dc.identifier.citation Nguyen, Thi Minh Nghia: Understanding fluorescent amyloid biomarkers by computational chemistry. Hannover : Gottfried Wilhelm Leibniz Universität, Diss., 2023, xiv, 285 S., DOI: https://doi.org/10.15488/14578 eng
dc.description.abstract Protein misfolding diseases, including neurodegenerative disorders like Alzheimer’s disease, are characterized by the involvement of amyloid aggregation, which emphasizes the need for molecular biomarkers for effective disease diagnosis. The thesis addresses two aspects of biomarker development: firstly, the computation of vibrationally resolved spectra of small fluorescent dyes to detect amyloid aggregation, and secondly, the binding and unbinding processes of a novel ligand to the target protein. In relation to the first aspect, a hybrid model for vibrational line shapes of optical spectra, called VCI-in-IMDHO, is introduced. This model enables the treatment of selected modes using highly accurate and anharmonic vibrational wave function methods while treating the remaining modes using the approximate IMDHO model. This model reduces the computational cost and allows for the calculation of emission line shapes of organic dyes with anharmonicity in both involved electronic states. The interaction between the dyes and their environment is also explored to predict the photophysical properties of the oxazine molecules in the condensed phase. The position and the choice of the solvent molecule have a significant impact on the spectra of the studied systems as they altered the spectral band shape. However, further studies are necessary to confirm the findings. In addition to neurodegenerative diseases, the systemic amyloidoses represent another group of disorders caused by misfolded or misassembled proteins. In the cardiac domain, the accumulation of amyloid fibrils formed by the transthyretin (TTR) protein leads to cardiac dysfunction and restrictive cardiomyopathy. The investigation of binding and unbinding pathways between the TTR protein and its ligands is crucial for gaining a comprehensive understanding and enabling early detection of systemic amyloidoses and related disorders. Hence, exploring the different binding modes and the dissociation pathways of TTR-ligand complex is the primary objective of the second aspect of this thesis. The experimental study provides evidence of binding and X-ray crystallographic structure data on TTR complex formation with the fluorescent salicylic acid-based pyrene amyloid ligand (Py1SA). However, the electron density from X-ray diffraction did not allow confident placement of Py1SA, possibly due to partial ligand occupancy. Molecular dynamics and umbrella sampling approaches were used to determine the preferred orientation of the Py1SA ligand in the binding pocket, with a distinct preference for the binding modes with the salicylic acid group pointing into the pocket. eng
dc.description.sponsorship Deutsche Forschungs-gemeinschaft (DFG)/Emmy Noether/KO 5423/1- 1/EU eng
dc.language.iso eng eng
dc.publisher Hannover : Institutionelles Repositorium der Leibniz Universität Hannover
dc.relation info:eu-repo/grantAgreement/Deutsche Forschungs-gemeinschaft (DFG)/Emmy Noether/KO 5423/1- 1/EU eng
dc.rights CC BY 3.0 DE eng
dc.rights.uri http://creativecommons.org/licenses/by/3.0/de/ eng
dc.subject Biomarkers eng
dc.subject amyloid eng
dc.subject theoretical spectra eng
dc.subject multi-level eng
dc.subject solvents eng
dc.subject molecular dynamics eng
dc.subject umbrella sampling eng
dc.subject binding energy eng
dc.subject Biomarker ger
dc.subject Amyloid ger
dc.subject theoretische Spektren ger
dc.subject Multi-level ger
dc.subject Lösungsmittel ger
dc.subject Molekulardynamik ger
dc.subject Umbrella-Sampling ger
dc.subject Bindungsenergie ger
dc.subject.ddc 500 | Naturwissenschaften eng
dc.title Understanding fluorescent amyloid biomarkers by computational chemistry eng
dc.type DoctoralThesis eng
dc.type Text eng
dc.description.version publishedVersion eng
tib.accessRights frei zug�nglich eng


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