The Case for CASE: Computer-Assisted Structure Elucidation
Poster Apr 25, 2016
Computer-Assisted Structure Elucidation (CASE) has come to be a broadly accepted method for the derivation of novel or difficult chemical structures, especially those of natural products or drug metabolites and impurities. For completely error-free structure determination, one must first evaluate all isomers that truly match connectivity criteria defined by experiment – but it is impossible to do this manually without bias.
Modern NMR techniques give ever-increasing amounts of valuable data to substantiate structural evaluations, including lower limits of detection, and more information on connectivities. However, errors in published structures are rampant giving weight to the argument for computer-assisted evaluation of structures.
Using Remote Sensing Methodologies to Combat Schistosomiasis in Northern SenegalPoster
Schistosomiasis is associated with poverty, a lack of clean water and sanitation and is is transmitted through snail vector. Remote sensing methodologies were used to identify types of vegetation that are significantly associated with snail presence as previous studies had shown that removal of certain aquatic vegetation decreased the prevalence of schistosomiasis in nearby villages.READ MORE
Screening of ALDH2 Interactome by Combined Immunoprecipitation and Mass SpectrometryPoster
ALDH2 may have an unidentified protein interaction network, which would help elucidate its importance in various cellular functions. The combination of immunoprecipitation and mass spectrometry will give us insights that could not be easily attained otherwise.READ MORE
Nitrogen metabolism in Mycobacterium tuberculosis: a systems-based approachPoster
Previous studies suggested that Mycobacterium tuberculosis obtains nitrogen from a diverse range of intracellular nutrients including amino acids. Here, we use a novel system’s based three-pronged approach to define pathways for uptake and assimilation of nitrogen.READ MORE
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World Congress on Advanced Structural and Molecular Biology 2018
Aug 22 - Aug 23, 2018