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Brandi M. Baughman Abstract - ETD Index Page

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<strong>Brandi</strong> M. <strong>Baughman</strong><br />

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Doctoral Dissertation<br />

<strong>Brandi</strong> M. <strong>Baughman</strong><br />

<strong>Brandi</strong>.M.<strong>Baughman</strong>@gmail.com<br />

Structural Identification and Applications of<br />

Novel Fluorescent Probes in Chemical Biology<br />

Doctor of Philosophy<br />

Integrated Program in Biomedical Sciences<br />

Molecular Therapeutics and Cell Signaling<br />

Thomas R. Webb, Ph.D.<br />

twebb13@uthsc.edu<br />

Donald Bashford, Ph.D.<br />

Richard Lee, Ph.D.<br />

Stephen White, D.Phil.<br />

Jie Zheng, Ph.D.<br />

Endonuclease, Fluorescence, Influenza<br />

World-Wide Web Access<br />

Graduation Date: December 2012<br />

<strong>Abstract</strong><br />

Fluorescence spectroscopy is one of the most widely used tools in drug discovery; however,<br />

specific criteria for compound fluorescence are not well defined. While a highly sensitive<br />

method of detection, fluorescence-based sensing is susceptible to assay interference due to<br />

intrinsically fluorescent compounds. Current methods of fluorescence prediction do not consider<br />

high-throughput screening (HTS) requirements and therefore are not applicable for filtering large<br />

chemical databases. The studies described herein aim to establish structural and electronic<br />

criteria for fluorescent emission in HTS, identify structure-fluorescence relationships (SFR) for<br />

novel sets of fluorophores, and develop fluorescence-based assays using an explicit empirical<br />

definition of fluorescence. Our working definition of fluorescence caters to the unique<br />

environment of HTS and is described as BGA: bright (≥5.0% fluorescence intensity of


fluorescein at the same concentration), green (emission at 535 nm ± 25 nm upon excitation at<br />

485 nm ± 20 nm), and aqueous (fluorescence observed in a buffered solution at a specific<br />

concentration). Implementing a decision tree learning-based algorithm based on calculable<br />

molecular properties, we were able to predict BGA fluorescence with 93% accuracy for a sample<br />

library of compounds (N = 2,231). From this sample library, two novel fluorophores were<br />

identified. Spectral evaluation of these fluorophores resulted in the validation of a dual<br />

fluorophore with red and green emissions and a bright green fluorophore with chemical and<br />

fluorescent stability in varying solvents and bioavailability in zebrafish. Finally, we have<br />

developed a high-throughput fluorescence polarization (FP) assay, utilizing a novel fluoresceinlabeled<br />

compound (K d = 0.378 µM) and a PA N construct, to identify small molecules that bind<br />

to the PA N endonuclease active site of influenza virus. This FP assay provides direct target<br />

validation information for active compounds, is suitable for HTS and fragment-based screening<br />

studies, and has resulted in the identification of novel endonuclease inhibitors. Our work<br />

suggests that with a basic understanding of the fundamental requirements for fluorescence in an<br />

HTS environment, SFR can be predicted, and interference due to intrinsically fluorescent<br />

compounds can be controlled within assay settings.<br />

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Revised 21 March 2013

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