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Full-Text Articles in Molecular Biology
P-20 Characterization Of Cgx Tautomerase And Mutants With Acetylenecarboxylic Acid, Daniel Chi, Karen Draths, Amaya Sirinimal
P-20 Characterization Of Cgx Tautomerase And Mutants With Acetylenecarboxylic Acid, Daniel Chi, Karen Draths, Amaya Sirinimal
Celebration of Research and Creative Scholarship
In the production of commodity chemicals through microbial synthesis, the use of renewable sugars as a raw material is increasingly common. However, this generates competition between its use in the chemical industry and the food industry. Therefore, developing alternative biosynthetic pathways involving other renewable feedstocks to replace starch-derived feedstocks is crucial. CgX, a tautomerase native to Corynebacterium glutamicum, catalyzes the hydration and subsequent decarboxylation of acetylenecarboxylic acid (ACA), a compound that can be produced from methane gas and carbon dioxide, both abundant greenhouse gases. The products formed from the CgX (wild-type)-catalyzed reaction of ACA results in a mixture of …
Pilot Studies Of Two Possible Iron Uptake Mechanisms In Insect Cells, Michelle Coca
Pilot Studies Of Two Possible Iron Uptake Mechanisms In Insect Cells, Michelle Coca
Kansas State University Undergraduate Research Conference
Pilot Studies of Two Possible Iron Uptake Mechanisms in Insect Cells
Michelle E. Coca, Diana G. Najera, and Dr. Maureen J. Gorman
Department of Biochemistry and Molecular Biophysics
College of Arts and Sciences
Iron plays an important role in energy metabolism and other essential physiological processes; however, because iron can also be toxic, its uptake by cells must be strictly regulated. In humans, there is a well-understood pathway of iron uptake and multiple poorly understood pathways. How iron is transported into insect cells is unknown. The goal of this study was to test two models of iron uptake by cultured …
Large Scale Dynamical Model Of Macrophage/Hiv Interactions, Matthew M. Froid
Large Scale Dynamical Model Of Macrophage/Hiv Interactions, Matthew M. Froid
UNO Student Research and Creative Activity Fair
Properties emerge from the dynamics of large-scale molecular networks that are not discernible at the individual gene or protein level. Mathematical models - such as probabilistic Boolean networks - of molecular systems offer a deeper insight into how these emergent properties arise. Here, we introduce a non-linear, deterministic Boolean model of protein, gene, and chemical interactions in human macrophage cells during HIV infection. Our model is composed of 713 nodes with 1583 interactions between nodes and is responsive to 38 different inputs including signaling molecules, bacteria, viruses, and HIV viral particles. Additionally, the model accurately simulates the dynamics of over …