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Funding Update: Nov 19, 2010 (rev. 1)

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Recent NSF Awards in Proteomics and Protein Research

Title: Learning in Worst-Case Noise Models
Principal Investigator: Adam Klivans
Sponsor: University of Texas at Austin
Start/End Date: Sept. 1, 2011 – Aug 31, 2014
Amount Awarded to Date: $499,864

Funds a study to develop machine-learning algorithms that can succeed in the presence of noisy datasets, which could lead to more powerful classification tools for purposes such as protein identification and detection.


Title: Development of Fluorescent Probes for Protein Phosphorylation
Principal Investigator: Hung-Teh Kao
Sponsor: Lucidicor
Start/End Date: Jan. 1, 2011 – June 30, 2011
Amount Awarded to Date: $150,000

Funds a project to optimize and market a fluorescent biomarker responsive to protein phosphorylation that could be used in the detection of protein kinase activity, allowing for better study of protein signaling networks as well as screening for pharmaceutical compounds like kinase inhibitors.


Title: Enzymology of Multi-Enzyme Systems on Self-Assembled Surfaces
Principal Investigator: Neal Woodbury
Sponsor: Arizona State University
Start/End Date: Dec. 1, 2010 – Nov. 30, 2013
Amount Awarded to Date: $406,206

Funds research into using ligands and self-assembled DNA nanoscaffold surfaces to optimize the orientations and conformations of surface-bound enzymes to improve their function in various biosensing and biocatalytic applications.

The Scan

Booster Push

New data shows a decline in SARS-CoV-2 vaccine efficacy over time, which the New York Times says Pfizer is using to argue its case for a booster, even as the lower efficacy remains high.

With Help from Mr. Fluffington, PurrhD

Cats could make good study animals for genetic research, the University of Missouri's Leslie Lyons tells the Atlantic.

Man Charged With Threatening to Harm Fauci, Collins

The Hill reports that Thomas Patrick Connally, Jr., was charged with making threats against federal officials.

Nature Papers Present Approach to Find Natural Products, Method to ID Cancer Driver Mutations, More

In Nature this week: combination of cryogenic electron microscopy with genome mining helps uncover natural products, driver mutations in cancer, and more.