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CAENORHABDITIS ELEGANS MMP STRAINS AND THEIR POTENTIAL DRIVING FORCE IN ANTIEPILEPTIC DRUG RESEARCH
Title
CAENORHABDITIS ELEGANS MMP STRAINS AND THEIR POTENTIAL DRIVING FORCE IN ANTIEPILEPTIC DRUG RESEARCH.
Creator
Sanchez, Christina Laura, Dawson-Scully, Ken, Florida Atlantic University, Department of Biological Sciences, Charles E. Schmidt College of Science
Abstract/Description
Over 70 million people worldwide suffer from epilepsy, with 90% of those cases taking place in developing countries (Singh & Trevick, 2016). Epilepsy can be defined as at least two unprovoked seizures occurring more than 24 hours apart, one unprovoked seizure with at least 60% chance of another seizure occurring within the next 10 years, or a diagnosis of epilepsy syndrome (Fisher et al., 2005). Varying physiological, molecular, genetic, and environmental factors can contribute to epileptic...
Show moreOver 70 million people worldwide suffer from epilepsy, with 90% of those cases taking place in developing countries (Singh & Trevick, 2016). Epilepsy can be defined as at least two unprovoked seizures occurring more than 24 hours apart, one unprovoked seizure with at least 60% chance of another seizure occurring within the next 10 years, or a diagnosis of epilepsy syndrome (Fisher et al., 2005). Varying physiological, molecular, genetic, and environmental factors can contribute to epileptic episodes. Although antiepileptic drugs (AEDs) exist, the complexity and lack of understanding behind the molecular mechanisms of the syndrome leaves the few drugs available to be insufficient for many patients (Rho & White, 2018). Therefore, the discovery of genetic pathways involved in epilepsy is imperative for the innovation of antiepileptic drugs. This thesis explores a novel method to add to mutant C.elegans libraries and improve antiepileptic drug discovery in a cost-effective and efficient manner by uncovering candidate molecular pathways through the candidate genes involved with antiepileptic strains.
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Date Issued
2022
PURL
http://purl.flvc.org/fau/fd/FA00014049
Subject Headings
Caenorhabditis elegans, Epilepsy, Drug development
Format
Document (PDF)
Marine organisms as a source of novel lead structures for drug development
Title
Marine organisms as a source of novel lead structures for drug development.
Creator
Wright, Amy E.
Date Issued
2000
PURL
http://purl.flvc.org/fau/fd/FA00007060
Subject Headings
Marine organisms, Marine natural products, Drug development
Format
Document (PDF)
The oceans and human health: the discovery and development of marine-derived drugs
Title
The oceans and human health: the discovery and development of marine-derived drugs.
Creator
Pomponi, Shirley A.
Date Issued
2001
PURL
http://purl.flvc.org/fau/fd/FA00007240
Subject Headings
Marine natural products, Marine pharmacology, Drug development
Format
Document (PDF)
RESVERATROL-INSPIRED BRIDGED BICYCLIC COMPOUNDS: CHARACTERIZING A NOVEL ANTIEPILEPTIC DRUG CLASS
Title
RESVERATROL-INSPIRED BRIDGED BICYCLIC COMPOUNDS: CHARACTERIZING A NOVEL ANTIEPILEPTIC DRUG CLASS.
Creator
Stilley, Samantha E., Dawson-Scully, Kenneth, Florida Atlantic University, Department of Biological Sciences, Charles E. Schmidt College of Science
Abstract/Description
Epilepsy is a widely prevalent disease within the United States. It is estimated that about 1.2% of the total American population has active epilepsy, a condition of the brain that causes seizures. These seizures are marked by chemical alterations in neuronal firing that can cause abnormal behavior, sensations, muscle spasms, and loss of consciousness. Although the prevalence of seizures and epilepsy is high, effective treatments are limited and fail to provide effective treatment for nearly...
Show moreEpilepsy is a widely prevalent disease within the United States. It is estimated that about 1.2% of the total American population has active epilepsy, a condition of the brain that causes seizures. These seizures are marked by chemical alterations in neuronal firing that can cause abnormal behavior, sensations, muscle spasms, and loss of consciousness. Although the prevalence of seizures and epilepsy is high, effective treatments are limited and fail to provide effective treatment for nearly one-third of adult epileptic patients. Here, I conclude results of successful screening of novel compounds that can ameliorate seizures using an electroshock assay to examine seizure susceptibility and duration in C. elegans. The use of this assay provides an excellent platform for novel antiepileptic drug (AED) discovery efficiently. Literature shows Resveratrol, a natural product from plants, provides neuroprotective effects in various model organisms and therefore, is an excellent candidate for a molecule that has never been related to seizure. However, it is easily metabolized, being a flat and planar molecule. Our research group has collaboratively identified a novel bicyclic bridge molecule derived from the scaffolding of two resveratrol molecules we named Resveramorph (RVM). We also used the candidate approach to test a number of Resveramorph analogs on this assay to find the analog with highest efficacy. The various molecules characterized with their efficacy for seizure-like behavior after an electroshock have helped elucidate the mechanism of action and the RVMs physical target to give us greater insight into this potential family of AEDs.
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Date Issued
2022
PURL
http://purl.flvc.org/fau/fd/FA00014072
Subject Headings
Anticonvulsants, Epilepsy, Drug development, Caenorhabditis elegans
Format
Document (PDF)
Bioinformatics mining of the dark matter proteome for cancer targets discovery
Title
Bioinformatics mining of the dark matter proteome for cancer targets discovery.
Creator
Delgado, Ana Paula, Narayanan, Ramaswamy, Florida Atlantic University, Charles E. Schmidt College of Science, Department of Biological Sciences
Abstract/Description
Mining the human genome for therapeutic target(s) discovery promises novel outcome. Over half of the proteins in the human genome however, remain uncharacterized. These proteins offer a potential for new target(s) discovery for diverse diseases. Additional targets for cancer diagnosis and therapy are urgently needed to help move away from the cytotoxic era to a targeted therapy approach. Bioinformatics and proteomics approaches can be used to characterize novel sequences in the genome...
Show moreMining the human genome for therapeutic target(s) discovery promises novel outcome. Over half of the proteins in the human genome however, remain uncharacterized. These proteins offer a potential for new target(s) discovery for diverse diseases. Additional targets for cancer diagnosis and therapy are urgently needed to help move away from the cytotoxic era to a targeted therapy approach. Bioinformatics and proteomics approaches can be used to characterize novel sequences in the genome database to infer putative function. The hypothesis that the amino acid motifs and proteins domains of the uncharacterized proteins can be used as a starting point to predict putative function of these proteins provided the framework for the research discussed in this dissertation.
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Date Issued
2015
PURL
http://purl.flvc.org/fau/fd/FA00004361, http://purl.flvc.org/fau/fd/FA00004361
Subject Headings
Bioinformatics, Cancer -- Genetic aspects, Drug development -- Data processing, Genomics, Medical informatics, Proteomes -- Data processing, Tumors -- Immunological aspects
Format
Document (PDF)
Exploring appropriate offset values for pencil beam and Monte Carlo dose optimization in lung stereotactic body radiotherapy encompassing the effects of respiration and tumor location
Title
Exploring appropriate offset values for pencil beam and Monte Carlo dose optimization in lung stereotactic body radiotherapy encompassing the effects of respiration and tumor location.
Creator
Evans, Grant, Shang, Charles, Florida Atlantic University, Charles E. Schmidt College of Science, Department of Physics
Abstract/Description
Evaluation of dose optimization using the Pencil Beam (PB) and Monte Carlo (MC) algorithms may allow physicists to apply dosimetric offsets to account for inaccuracies of the PB algorithm for lung cancer treatment with Stereotactic Body Radiotherapy (SBRT). 20 cases of Non-Small Cell Lung Cancer (NSCLC) were selected. Treatment plans were created with Brainlab iPlanDose® 4.1.2. The D97 of the Planning Target Volume (PTV) was normalized to 50 Gy on the Average Intensity Projection (AIP) using...
Show moreEvaluation of dose optimization using the Pencil Beam (PB) and Monte Carlo (MC) algorithms may allow physicists to apply dosimetric offsets to account for inaccuracies of the PB algorithm for lung cancer treatment with Stereotactic Body Radiotherapy (SBRT). 20 cases of Non-Small Cell Lung Cancer (NSCLC) were selected. Treatment plans were created with Brainlab iPlanDose® 4.1.2. The D97 of the Planning Target Volume (PTV) was normalized to 50 Gy on the Average Intensity Projection (AIP) using the fast PB and compared with MC. This exact plan with the same beam Monitor Units (MUs) was recalculated over each respiratory phase. The results show that the PB algorithm has a 2.3-2.4% less overestimation at the maximum exhalation phase than the maximum inhalation phase when compared to MC. Significantly smaller dose difference between PB and MC is also shown in plans for peripheral lesions (7.7 ± 0.7%) versus central lesions (12.7±0.8%)(p< 0.01).
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Date Issued
2014
PURL
http://purl.flvc.org/fau/fd/FA00004105, http://purl.flvc.org/fau/fd/FA00004105
Subject Headings
Drug development -- Computer simulation, Image guided radiation therapy, Lung cancer -- Treatment, Monte Carlo method, Proton beams, Transport theory
Format
Document (PDF)
A dosimetric study of a heterogeneous phantom for lung stereotactic body radiation therapy comparing Monte Carlo and pencil beam calculations to dose distributions measured with a 2-d diode array
Title
A dosimetric study of a heterogeneous phantom for lung stereotactic body radiation therapy comparing Monte Carlo and pencil beam calculations to dose distributions measured with a 2-d diode array.
Creator
Curley, Casey Michael, Ouhib, Zoubir, Florida Atlantic University, Charles E. Schmidt College of Science, Department of Physics
Abstract/Description
Monte Carlo (MC) and Pencil Beam (PB) calculations are compared to their measured planar dose distributions using a 2-D diode array for lung Stereotactic Body Radiation Therapy (SBRT). The planar dose distributions were studied for two different phantom types: an in-house heterogeneous phantom and a homogeneous phantom. The motivation is to mimic the human anatomy during a lung SBRT treatment and incorporate heterogeneities into the pre-treatment Quality Assurance process, where measured and...
Show moreMonte Carlo (MC) and Pencil Beam (PB) calculations are compared to their measured planar dose distributions using a 2-D diode array for lung Stereotactic Body Radiation Therapy (SBRT). The planar dose distributions were studied for two different phantom types: an in-house heterogeneous phantom and a homogeneous phantom. The motivation is to mimic the human anatomy during a lung SBRT treatment and incorporate heterogeneities into the pre-treatment Quality Assurance process, where measured and calculated planar dose distributions are compared before the radiation treatment. Individual and combined field dosimetry has been performed for both fixed gantry angle (anterior to posterior) and planned gantry angle delivery. A gamma analysis has been performed for all beam arrangements. The measurements were obtained using the 2-D diode array MapCHECK 2™.
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Date Issued
2015
PURL
http://purl.flvc.org/fau/fd/FA00004360
Subject Headings
Cancer -- Radiotherapy, Drug development -- Computer simulation, Image guided radiation therapy, Ion bombardment, Lung cancer -- Treatment, Medical physics, Monte Carlo method, Proton beams
Format
Document (PDF)