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Biochemistry

Arts & Sciences Electronic Theses and Dissertations

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Antibiotic resistance

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Full-Text Articles in Life Sciences

Rna Polymerase Binding Protein A (Rbpa) Regulation Of Mycobacteria Transcription And Sensitivity To Fidaxomicin, Jerome Prusa Aug 2021

Rna Polymerase Binding Protein A (Rbpa) Regulation Of Mycobacteria Transcription And Sensitivity To Fidaxomicin, Jerome Prusa

Arts & Sciences Electronic Theses and Dissertations

Mycobacterium tuberculosis is the causative agent of the disease tuberculosis (TB) and remains one of the deadliest microorganisms on the planet. The effort to eradicate M. tuberculosis would benefit from the development of novel therapeutics, which requires a detailed understanding of M. tuberculosis physiology. Like all living organisms, M. tuberculosis gene expression requires transcription. Transcription in the phylum Actinobacteria, which includes mycobacteria, is unique because it includes RNA Polymerase Binding Protein A (RbpA) that is essential in both M. tuberculosis and the nonpathogenic model organism Mycobacterium smegmatis. RbpA increases the housekeeping A and housekeeping like B interactions with the RNA …


Fast-Forward Protein Folding And Design: Development, Analysis, And Applications Of The Fast Sampling Algorithm, Maxwell Isaac Zimmerman Aug 2019

Fast-Forward Protein Folding And Design: Development, Analysis, And Applications Of The Fast Sampling Algorithm, Maxwell Isaac Zimmerman

Arts & Sciences Electronic Theses and Dissertations

Molecular dynamics simulations are a powerful tool to explore conformational landscapes, though limitations in computational hardware commonly thwart observation of biologically relevant events. Since highly specialized or massively parallelized distributed supercomputers are not available to most scientists, there is a strong need for methods that can access long timescale phenomena using commodity hardware. In this thesis, I present the goal-oriented sampling method, Fluctuation Amplification of Specific Traits (FAST), that takes advantage of Markov state models (MSMs) to adaptively explore conformational space using equilibrium-based simulations. This method follows gradients in conformational space to quickly explore relevant conformational transitions with orders of …