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Full-Text Articles in Life Sciences
Opening Of An Epoxide Ring Using Azide To Form A Triazole, Emily Hufnagel, Jeffrey A. Hansen
Opening Of An Epoxide Ring Using Azide To Form A Triazole, Emily Hufnagel, Jeffrey A. Hansen
Annual Student Research Poster Session
No abstract provided.
Synthesis Of Ether Alcohols With Varying Catalysts, Hannah Grady, Frida Li, Jeffrey A. Hansen
Synthesis Of Ether Alcohols With Varying Catalysts, Hannah Grady, Frida Li, Jeffrey A. Hansen
Annual Student Research Poster Session
No abstract provided.
Targeted Therapy For The Future: The Use Of Novel Antimicrobial Peptides Against P. Aeurginosa, Matthew Froid
Targeted Therapy For The Future: The Use Of Novel Antimicrobial Peptides Against P. Aeurginosa, Matthew Froid
UNO Student Research and Creative Activity Fair
Pathogenic bacteria, such as the gram-negative bacterium Pseudomonas aeruginosa, are becoming resistant to our current arsenal of antibiotics at an alarming rate. P. aeruginosa is a leading cause of nosocomial acquired infections and is a primary co-morbidity in patients with compromised immune systems. One potential source of new antibiotic agents is antimicrobial peptides. Antimicrobial peptides (AMPs) are small proteins, and some have shown a high degree of efficacy and broad-spectrum activity against both Gram-positive and Gram-negative bacteria. An experimental AMP that has been developed by Dr. Wang at UNMC, DASamp2, has shown to be effective against virulent bacteria, including P. …
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 …