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CHEM2026LEMIEUX62485 CHEM

Prodrugs of a Subnanomolar Inhibitor of Dehydroquinate Synthase

Type: Undergraduate
Author(s): Isabella LeMieux Chemistry & Biochemistry
Advisor(s): Jean-Luc Montchamp Chemistry & Biochemistry

The WHO has declared antimicrobial resistance a top 10 global threat. New antimicrobials with novel modes of action are therefore desperately needed. One such mode of action would be to target the aromatic amino acid biosynthesis pathway. Several extremely potent inhibitors of Dehydroquinate Synthase have been previously synthesized. One of those, a vinylphosphonate compound, was selected as the lead compound for this study. In this project, the inhibitor was re-synthesized and several methods to prepare prodrugs have been investigated. The synthesis of prodrugs of other related compounds was also explored.

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CHEM2026LYON61325 CHEM

Investigation of Suzuki-Miyara Coupling as a Synthetic Route Towards the Development of Novel Alzheimer’s Disease Therapeutics

Type: Undergraduate
Author(s): Killian Lyon Chemistry & Biochemistry Jack Bonnell Chemistry & Biochemistry Davis Wagnon Chemistry & Biochemistry
Advisor(s): Kayla Green Chemistry & Biochemistry

Alzheimer’s Disease (AD) is a neurodegenerative terminal disease that affects 11% of Americans who are 65+ years old. The progression of AD has been associated with the dysregulation of reactive oxygen species (ROS) via multiple mechanisms, resulting in oxidative stress and neuronal damage. One of the focuses of the Green Lab at TCU is the development of PyN3 pyridinophanes that act as antioxidants to counter the effects caused by unregulated ROS. While most compounds synthesized within the lab both have antioxidant characteristics and activate the Nrf2 pathway, they face the issue of having poor permeability to the Blood Brain Barrier (BBB), making them unable to deliver the therapeutic effects to the diseased neurons. To counter this deficit, the series of molecules proposed herein aim to increase the lipophilicity of the base PyN3 molecules while maintaining or increasing their antioxidant potential. In pursuit of these aims, we aimed to utilize Suzuki-Miyara-like carbon-carbon bond formation to add aromatic, lipophilic, antioxidant moieties to the para position of the parent PyN3 molecule. Computational studies, including the BOILED-Egg plot, were used to identify these synthetic targets for probable BBB permeability with the goal of highlighting a new route in drug synthesis to increase the delivery of active compounds to target tissues past the BBB.

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CHEM2026LYONS45705 CHEM

Side-Chain-Directed Chiral Sorting in 24-Atom Triazine Macrocycles

Type: Undergraduate
Author(s): Abi Lyons Chemistry & Biochemistry Liam Claton Chemistry & Biochemistry Samantha Gaines Chemistry & Biochemistry Harshavardhan Kasireddy Chemistry & Biochemistry Lauren McPhaul Chemistry & Biochemistry Isabella Sullivan Chemistry & Biochemistry
Advisor(s): Eric Simanek Chemistry & Biochemistry

Macrocycles are promising drug design frameworks because their folding can enhance stability, solubility, and membrane permeability. Recently, triazine macrocycles derived from two monomers were reported. The cyclization is quantitative, but the role of chirality in macrocycle formation remains unclear. To address this issue, triazine macrocycles were synthesized from Fmoc-protected amino acids to test whether chiral sorting occurs. Chiral sorting refers to the tendency of amino acid precursors to selectively pair as homochiral species (D-D or L-L) or heterochiral species (D-L). Understanding this behavior can dictate macrocycle folding and stability. Preliminary results with valine and isoleucine suggest strong chiral sorting favoring homochiral species. In contrast, chiral sorting does not appear to occur alanine or isovaline, both of which follow the expected 1:2:1 distribution of DD, DL, and LL. These findings highlight stereochemical influences on macrocycle formation and provide insights for designing macrocycles with improved therapeutic potential.

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CHEM2026MINICK39041 CHEM

New Silicon-Containing Composite Materials for Tackling Reactive Oxygen Species in Disease

Type: Undergraduate
Author(s): Bella Minick Chemistry & Biochemistry
Advisor(s): Jeffrey Coffer Chemistry & Biochemistry

Reactive Oxygen Species (ROS) are associated with a broad spectrum of diseases, ranging from bone loss to cancer. One strategy to combat ROS is to treat sources of such species in the body with materials capable of generating hydrogen and reacting with ROS to neutralize it. This project involves incorporating an H₂-generating material known as Calcium Disilicide (CaSi₂) into membranes of another H₂-generating material known as porous silicon for tandem antioxidant drug delivery. Porous silicon (pSi) is an important substrate in drug delivery as its nano-network of pores allows controlled loading of drugs. Our approach centers on the use of spark ablation to deposit CaSi₂ into the pSi. Both porous silicon and CaSi₂ are nontoxic and can be resorbed over time in vivo.

To prepare CaSi₂/pSi, a piece of pSi membrane is fixed to substrate with a small drop of nail polish, and CaSi₂ powder is added. A capillary tube is placed on the pSi and spark ablated with a high-voltage Tesla coil, causing Si atoms on the porous membrane to vaporize along with CaSi₂ and the mixture resettles upon cooling. Scanning Electron Microscopy (SEM) is used to characterize morphology, and in situ Energy Dispersive X-ray Spectroscopy (EDX) to determine the percentage of calcium in the sample. We use the criterion of highest CaSi₂ loading percentage to determine the conditions for most efficient addition of CaSi₂ into the membrane. We have successfully incorporated calcium disilicide into porous Si membranes; current experiments are attempting to measure the amount of hydrogen produced synergistically to improve the performance of porous silicon as a means to treat in situ ROS production.

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CHEM2026MORGAN7903 CHEM

Improving Density Functional Theory Simulations: M11plus Implementation in the open PySCF package

Type: Undergraduate
Author(s): Jonah Morgan Chemistry & Biochemistry
Advisor(s): Benjamin Janesko Chemistry & Biochemistry

Density Functional Theory (DFT) is a method for simulating molecules by approximating their electron densities, with various functionals available to
model these systems. M11plus is one such functional, a range-separated hybrid meta functional that combines long-range non-local Hartree–Fock
exchange with the non-local Rung 3.5 correlation, which has demonstrated effectiveness across a broad range of chemical databases. This work
implements the M11plus functional into the PySCF open-source Python library.​

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