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The FDA-approved drug bexarotene has been predominantly utilized for the treatment of cutaneous T-cell lymphoma (CTLC), but has shown promise as an off label treatment for various other cancers as well as Alzheimer's disease (AD). However, harmful side effects such as hypothyroidism have catalyzed a search for alternative rexinoids which

The FDA-approved drug bexarotene has been predominantly utilized for the treatment of cutaneous T-cell lymphoma (CTLC), but has shown promise as an off label treatment for various other cancers as well as Alzheimer's disease (AD). However, harmful side effects such as hypothyroidism have catalyzed a search for alternative rexinoids which retain similar levels of RXR agonism while reducing the undesirable effects incurred by bexarotene. This honors thesis outlines the steps taken to design and synthesize novel analogues of the selective retinoid-X-receptor (RXR) agonist 4-[1-(3,5,5,8,8-pentamethyl-5,6,7,8-tetrahydro-2-naphthyl)ethynyl]benzoic acid (bexarotene). Corresponding NMR spectra indicates the successful construction of four novel compounds which are structurally similar to known, biologically-evaluated rexinoids that have induced fewer side effects while stimulating greater levels of RXR selectivity as compared to bexarotene. Future In vitro analyses of these four analogues coupled with the recognized efficacy of their parent compounds demonstrate the chemotherapeutic potential of structurally modified bexarotene analogues

ContributorsDavidson, Jesse Raymond (Author) / Wagner, Carl (Thesis director) / Ball, Rebecca (Committee member) / School of Mathematical and Natural Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
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Description
Due to its difficult nature, organic chemistry is receiving much research attention across the nation to develop more efficient and effective means to teach it. As part of that, Dr. Ian Gould at ASU is developing an online organic chemistry educational website that provides help to students, adapts to their

Due to its difficult nature, organic chemistry is receiving much research attention across the nation to develop more efficient and effective means to teach it. As part of that, Dr. Ian Gould at ASU is developing an online organic chemistry educational website that provides help to students, adapts to their responses, and collects data about their performance. This thesis creative project addresses the design and implementation of an input parser for organic chemistry reagent questions, to appear on his website. After students used the form to submit questions throughout the Spring 2013 semester in Dr. Gould's organic chemistry class, the data gathered from their usage was analyzed, and feedback was collected. The feedback obtained from students was positive, and suggested that the input parser accomplished the educational goals that it sought to meet.
ContributorsBeerman, Eric Christopher (Author) / Gould, Ian (Thesis director) / Wilkerson, Kelly (Committee member) / Mosca, Vince (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2013-05
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Description

Augmented Reality (AR) especially when used with mobile devices enables the creation of applications that can help students in chemistry learn anything from basic to more advanced concepts. In Chemistry specifically, the 3D representation of molecules and chemical structures is of vital importance to students and yet when printed in

Augmented Reality (AR) especially when used with mobile devices enables the creation of applications that can help students in chemistry learn anything from basic to more advanced concepts. In Chemistry specifically, the 3D representation of molecules and chemical structures is of vital importance to students and yet when printed in 2D as on textbooks and lecture notes it can be quite hard to understand those vital 3D concepts. ARsome Chemistry is an app that aims to utilize AR to display complex and simple molecules in 3D to actively teach students these concepts through quizzes and other features. The ARsome chemistry app uses image target recognition to allow students to hand-draw or print line angle structures or chemical formulas of molecules and then scan those targets to get 3D representation of molecules. Students can use their fingers and the touch screen to zoom, rotate, and highlight different portions of the molecule to gain a better understanding of the molecule's 3D structure. The ARsome chemistry app also features the ability to utilize image recognition to allow students to quiz themselves on drawing line-angle structures and show it to the camera for the app to check their work. The ARsome chemistry app is an accessible and cost-effective study aid platform for students for on demand, interactive, 3D representations of complex molecules.

ContributorsEvans, Brandon (Author) / LiKamWa, Robert (Thesis director) / Johnson, Mina (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2022-05