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Full-Text Articles in Medicine and Health Sciences

Biosynthetic And Synthetic Strategies For Assembling Capuramycin-Type Antituberculosis Antibiotics, Ashley L. Biecker, Xiaodong Liu, Jon S. Thorson, Zhaoyong Yang, Steven G. Van Lanen Jan 2019

Biosynthetic And Synthetic Strategies For Assembling Capuramycin-Type Antituberculosis Antibiotics, Ashley L. Biecker, Xiaodong Liu, Jon S. Thorson, Zhaoyong Yang, Steven G. Van Lanen

Pharmaceutical Sciences Faculty Publications

Mycobacterium tuberculosis (Mtb) has recently surpassed HIV/AIDS as the leading cause of death by a single infectious agent. The standard therapeutic regimen against tuberculosis (TB) remains a long, expensive process involving a multidrug regimen, and the prominence of multidrug-resistant (MDR), extensively drug-resistant (XDR), and totally drug-resistant (TDR) strains continues to impede treatment success. An underexplored class of natural products—the capuramycin-type nucleoside antibiotics—have been shown to have potent anti-TB activity by inhibiting bacterial translocase I, a ubiquitous and essential enzyme that functions in peptidoglycan biosynthesis. The present review discusses current literature concerning the biosynthesis and chemical synthesis of capuramycin …


Scalable Feature Selection And Extraction With Applications In Kinase Polypharmacology, Derek Jones Jan 2018

Scalable Feature Selection And Extraction With Applications In Kinase Polypharmacology, Derek Jones

Theses and Dissertations--Computer Science

In order to reduce the time associated with and the costs of drug discovery, machine learning is being used to automate much of the work in this process. However the size and complex nature of molecular data makes the application of machine learning especially challenging. Much work must go into the process of engineering features that are then used to train machine learning models, costing considerable amounts of time and requiring the knowledge of domain experts to be most effective. The purpose of this work is to demonstrate data driven approaches to perform the feature selection and extraction steps in …


The Development Of Novel Non-Peptide Proteasome Inhibitors For The Treatment Of Solid Tumors, Zachary C. Miller Jan 2018

The Development Of Novel Non-Peptide Proteasome Inhibitors For The Treatment Of Solid Tumors, Zachary C. Miller

Theses and Dissertations--Pharmacy

The proteasome is a large protein complex which is responsible for the majority of protein degradation in eukaryotes. Following FDA approval of the first proteasome inhibitor bortezomib for the treatment of multiple myeloma (MM) in 2003, there has been an increasing awareness of the significant therapeutic potential of proteasome inhibitors in the treatment of cancer. As of 2017, three proteasome inhibitors are approved for the treatment of MM but in clinical trials with patients bearing solid tumors these existing proteasome inhibitors have demonstrated poor results. Notably, all three FDA-approved proteasome inhibitors rely on the combination a peptide backbone and reactive …


How Low Can You Go? Feature Selection For Drug Discovery, Derek Jones, Sally R. Ellingson, W. A. De Jong Oct 2017

How Low Can You Go? Feature Selection For Drug Discovery, Derek Jones, Sally R. Ellingson, W. A. De Jong

Commonwealth Computational Summit

The cost of bringing a drug to market depends on how quickly a candidate drug can be “discovered” and evaluated to ensure safety and effectiveness. In this work we develop a method for predicting whether a given drug and protein compound will “bind.” Our aim is to select a set of features to predict drug-protein interactions.

This study focuses on kinases. Kinase inhibitors are the largest class of new cancer therapies. Selective inhibition is difficult due to high sequence similarity, leading to off-target interactions and side-effects. Pictured here human c-SRC.


Structure-Based Drug Discovery: Computational Virtual Screening, Robert C. Monsen, Lynn Deleeuw, Jon Maguire, William L. Dean, Robert D. Gray, Jonathan B. Chaires, John O. Trent Oct 2017

Structure-Based Drug Discovery: Computational Virtual Screening, Robert C. Monsen, Lynn Deleeuw, Jon Maguire, William L. Dean, Robert D. Gray, Jonathan B. Chaires, John O. Trent

Commonwealth Computational Summit

No abstract provided.


Bis(N-Amidinohydrazones) And N-(Amidino)-N'-Aryl-Bishydrazones: New Classes Of Antibacterial/Antifungal Agents, Sanjib K. Shrestha, Liliia M. Kril, Keith D. Green, Stefan Kwiatkowski, Vitaliy M. Sviripa, Justin Robert Nickell, Linda Phyliss Dwoskin, David S. Watt, Sylvie Garneau-Tsodikova Jan 2017

Bis(N-Amidinohydrazones) And N-(Amidino)-N'-Aryl-Bishydrazones: New Classes Of Antibacterial/Antifungal Agents, Sanjib K. Shrestha, Liliia M. Kril, Keith D. Green, Stefan Kwiatkowski, Vitaliy M. Sviripa, Justin Robert Nickell, Linda Phyliss Dwoskin, David S. Watt, Sylvie Garneau-Tsodikova

Pharmaceutical Sciences Faculty Publications

The emergence of multidrug-resistant bacterial and fungal strains poses a threat to human health that requires the design and synthesis of new classes of antimicr obial agents. We evaluated bis(N-amidinohydrazones) and N-(amidino)-N'-aryl-bishydrazones for their antibacterial and antifungal activities against panels of Gram-positive/Gram-negative bacteria as well as fungi. We investigated their potential to develop resistance against both bacteria and fungi by a multi-step, resistance-selection method, explored their potential to induce the production of reactive oxygen species, and assessed their toxicity. In summary, we found that these compounds exhibited broad-spectrum antibacterial and antifungal activities against most of …


Discovery Of Gz-793a, A Novel Vmat2 Inhibitor And Potential Pharmacotherapy For Methamphetamine Abuse, David B. Horton Jan 2012

Discovery Of Gz-793a, A Novel Vmat2 Inhibitor And Potential Pharmacotherapy For Methamphetamine Abuse, David B. Horton

Theses and Dissertations--Pharmacy

Methamphetamine abuse is a serious public health concern affecting millions of people worldwide, and there are currently no viable pharmacotherapies to treat methamphetamine abuse. Methamphetamine increases extracellular dopamine (DA) concentrations through an interaction with the DA transporter (DAT) and the vesicular monoamine transporter-2 (VMAT2), leading to reward and abuse. While numerous studies have focused on DAT as a target for the discovery of pharmacotherapies to treat psychostimulant abuse, these efforts have been met with limited success. Taking into account the fact that methamphetamine interacts with VMAT2 to increase DA extracellular concentrations; the focus of the current work was to develop …