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Activity Number:
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104
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Type:
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Contributed
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Date/Time:
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Monday, August 7, 2006 : 8:30 AM to 10:20 AM
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Sponsor:
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Biometrics Section
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| Abstract - #307404 |
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Title:
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Inferring Protein Associations Using Protein Pull-Down Assays
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Author(s):
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Julia Sharp*+ and Kevin K. Anderson and Don S. Daly and Deanna L. Auberry and John Borkowski and William R. Cannon
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Companies:
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Montana State University and Pacific Northwest National Laboratory and Pacific Northwest National Laboratory and Pacific Northwest National Laboratory and Montana State University and Pacific Northwest National Laboratory
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Address:
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Department of Mathematical Sciences, Bozeman, MT, 59718,
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Keywords:
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protein association ; likelihood ratio test ; Monte Carlo simulation
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Abstract:
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One method to reveal protein-protein interactions is a "bait-prey pull-down" assay using a protein affinity agent and a protein detection method that is prone to various errors. A pull-down study generates a presence/absence matrix wherein each column or row corresponds to a bait protein sample or prey protein, respectively. Our method evaluates the presence/absence pattern across a row with a Likelihood Ratio Test (LRT) and simulated LRT test statistic distributions, checking the statistical assumptions with simulated binomial random variates. Each prey protein is assigned a category (specific, non-specific, or not associated) that is then appraised with respect to a pull-down study's goal and design. The LRT p-values objectively reveal specific and ubiquitous prey, as well as potential systematic errors. The LRT screen reduces the bias introduced when applying ad hoc filtering rules.
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