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Full-Text Articles in Chemistry
Machine Learning Approaches For Improving Prediction Performance Of Structure-Activity Relationship Models, Gabriel Idakwo
Machine Learning Approaches For Improving Prediction Performance Of Structure-Activity Relationship Models, Gabriel Idakwo
Dissertations
In silico bioactivity prediction studies are designed to complement in vivo and in vitro efforts to assess the activity and properties of small molecules. In silico methods such as Quantitative Structure-Activity/Property Relationship (QSAR) are used to correlate the structure of a molecule to its biological property in drug design and toxicological studies. In this body of work, I started with two in-depth reviews into the application of machine learning based approaches and feature reduction methods to QSAR, and then investigated solutions to three common challenges faced in machine learning based QSAR studies.
First, to improve the prediction accuracy of learning …
Conformationally-Controlled Late-Stage Modifications For Sar Studies Of The C-3-Glcp Moiety Of Ipomoeassin F, Lucas Whisenhunt
Conformationally-Controlled Late-Stage Modifications For Sar Studies Of The C-3-Glcp Moiety Of Ipomoeassin F, Lucas Whisenhunt
Graduate Theses and Dissertations
The resin glycoside, ipomoeassin F has been shown to be extremely potent against multiple cancer lines (IC50 = 4.2-36 nM). However, the mechanism of action of this potent and complex natural product is still not fully understood. The α,β-unsaturated esters of the glucosyl moiety have been shown to be vital for the overall cytotoxicity of ipomoeassin F. Nevertheless, the importance of the tigloyl ester of the glucosyl moiety is still largely unknown. This work aimed to study the pharmacophore importance of the tigloyl ester by creating, an efficient, scalable, and flexible synthesis route for various analogs. The 18-linear step synthesis …
Novel Fluconazole Derivatives With Promising Antifungal Activity, Nishad Thamban Chandrika, Sanjib K. Shrestha, Huy X. Ngo, Kaitlind C. Howard, Sylvie Garneau-Tsodikova
Novel Fluconazole Derivatives With Promising Antifungal Activity, Nishad Thamban Chandrika, Sanjib K. Shrestha, Huy X. Ngo, Kaitlind C. Howard, Sylvie Garneau-Tsodikova
Pharmaceutical Sciences Faculty Publications
The fungistatic nature and toxicity concern associated with the azole drugs currently on the market have resulted in an increased demand for new azole antifungal agents for which these problematic characteristics do not exist. The extensive use of azoles has resulted in fungal strains capable of resisting the action of these drugs. Herein, we report the synthesis and antifungal activities of novel fluconazole (FLC) analogues with alkyl-, aryl-, cycloalkyl-, and dialkyl-amino substituents. We evaluated their antifungal activity by MIC determination and time-kill assay as well as their safety profile by hemolytic activity against murine erythrocytes as well as cytotoxicity against …
Fluoroethoxy-1,4-Diphenethylpiperidine And Piperazine Derivatives: Potent And Selective Inhibitors Of [3H]Dopamine Uptake At The Vesicular Monoamine Transporter-2, Emily R. Hankosky, Shyam R. Joolakanti, Justin R. Nickell, Venumadhav Janganati, Linda P. Dwoskin, Peter A. Crooks
Fluoroethoxy-1,4-Diphenethylpiperidine And Piperazine Derivatives: Potent And Selective Inhibitors Of [3H]Dopamine Uptake At The Vesicular Monoamine Transporter-2, Emily R. Hankosky, Shyam R. Joolakanti, Justin R. Nickell, Venumadhav Janganati, Linda P. Dwoskin, Peter A. Crooks
Pharmaceutical Sciences Faculty Publications
A small library of fluoroethoxy-1,4-diphenethyl piperidine and fluoroethoxy-1,4-diphenethyl piperazine derivatives were designed, synthesized and evaluated for their ability to inhibit [3H]dopamine (DA) uptake at the vesicular monoamine transporter-2 (VMAT2) and dopamine transporter (DAT), [3H]serotonin (5-HT) uptake at the serotonin transporter (SERT), and [3H]dofetilide binding at the human-ether-a-go-go-related gene (hERG) channel. The majority of the compounds exhibited potent inhibition of [3H]DA uptake at VMAT2, with Ki values in the nanomolar range (Ki = 0.014–0.073 μM). Compound 15d exhibited the highest affinity (Ki = 0.014 μM) at VMAT2, and had 160-, 5-, …
Design, Synthesis, And Biological Activity Of 5'-Phenyl-1,2,5,6-Tetrahydro-3,3'-Bipyridine Analogues As Potential Antagonists Of Nicotinic Acetylcholine Receptors, Yafei Jin, Xiaoqin Huang, Roger L. Papke, Emily M. Jutkiewicz, Hollis D Showalter, Chang-Guo Zhan
Design, Synthesis, And Biological Activity Of 5'-Phenyl-1,2,5,6-Tetrahydro-3,3'-Bipyridine Analogues As Potential Antagonists Of Nicotinic Acetylcholine Receptors, Yafei Jin, Xiaoqin Huang, Roger L. Papke, Emily M. Jutkiewicz, Hollis D Showalter, Chang-Guo Zhan
Pharmaceutical Sciences Faculty Publications
Starting from a known non-specific agonist (1) of nicotinic acetylcholine receptors (nAChRs), rationally guided structural-based design resulted in the discovery of a small series of 5′-phenyl-1,2,5,6-tetrahydro-3,3′-bipyridines (3a – 3e) incorporating a phenyl ring off the pyridine core of 1. The compounds were synthesized via successive Suzuki couplings on a suitably functionalized pyridine starting monomer 4 to append phenyl and pyridyl substituents off the 3- and 5-positions, respectively, and then make subsequent modifications on the flanking pyridyl ring to provide target compounds. Compound 3a is a novel antagonist which is highly selective for α3β4 nAChR (Ki = 123 nM) …
Selective Inhibitors Of Human Mpges-1 From Structure-Based Computational Screening, Ziyuan Zhou, Yaxia Yuan, Shuo Zhou, Kai Ding, Fang Zheng, Chang-Guo Zhan
Selective Inhibitors Of Human Mpges-1 From Structure-Based Computational Screening, Ziyuan Zhou, Yaxia Yuan, Shuo Zhou, Kai Ding, Fang Zheng, Chang-Guo Zhan
Molecular Modeling and Biopharmaceutical Center Faculty Publications
Human mPGES-1 is recognized as a promising target for next generation of anti-inflammatory drugs. Although various mPGES-1 inhibitors have been reported in literature, few have entered clinical trials and none has been proven clinically useful so far. It is highly desired for developing the next generation of therapeutics for inflammation-related diseases to design and discover novel inhibitors of mPGES-1 with new scaffolds. Here, we report the identification of a series of new, potent and selective inhibitors of human mPGES-1 with diverse scaffolds through combined computational and experimental studies. The computationally modeled binding structures of these new inhibitors with mPGES-1 provide …