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Updated: May 4, 2026

Nano-Differential Scanning Fluorimetry for Screening in Fragment-based Lead Discovery
Published on: May 16, 2021
Nonlinear fitting method for determining local false discovery rates from decoy database searches
Wilfred H Tang1, Ignat V Shilov, Sean L Seymour
1Applied Biosystems | MDS Analytical Technologies, Foster City, CA 94404, USA.
Abstract:
False discovery rate (FDR) analyses of protein and peptide identification results using decoy database searching conventionally report aggregate or global FDRs for a whole set of identifications, which are often not very informative about the error rates of individual members in the set. We describe a nonlinear curve fitting method for calculating the local FDR, which estimates the chance that an individual protein (or peptide) is incorrect, and present a simple tool that implements this analysis. The goal of this method is to offer a simple extension to the now commonplace decoy database searching, providing additional valuable information.
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