Meeting ID: 929 4774 4599
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Allostery is a fundamental biophysical mechanism that underlies cellular sensing, signaling, and metabolism. Yet, because of its structurally distributed nature, a quantitative understanding of allosteric genotype-phenotype relationships remains elusive. To provide the large-scale data needed to inform predictive models of allosteric function, we have developed a method to quantitatively measure the dose-response curves and matching DNA sequences for every variant in a large library of allosteric sensor proteins.
Gas chromatography – mass spectrometry (GC-MS) is a valuable tool used by numerous scientific fields including forensics, medicine, and petrochemicals. Until recently, many GC-MS instruments have relied on either electron ionization or chemical ionization sources. While these sources provide means to identify chemical species, their ability to do so can be limited by the quality of the mass analyzer, i.e. mass accuracy.