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Life Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

2012

University of Nevada, Las Vegas

Proteins

Genetics and Genomics

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Full-Text Articles in Life Sciences

Reducing False-Positive Prediction Of Minimotifs With A Genetic Interaction Filter, Jerlin Camilus Merlin, Sanguthevar Rajasekaran, Tian Mi, Martin Schiller Mar 2012

Reducing False-Positive Prediction Of Minimotifs With A Genetic Interaction Filter, Jerlin Camilus Merlin, Sanguthevar Rajasekaran, Tian Mi, Martin Schiller

Life Sciences Faculty Research

Background

Minimotifs are short contiguous peptide sequences in proteins that have known functions. At its simplest level, the minimotif sequence is present in a source protein and has an activity relationship with a target, most of which are proteins. While many scientists routinely investigate new minimotif functions in proteins, the major web-based discovery tools have a high rate of false-positive prediction. Any new approach that reduces false-positives will be of great help to biologists.

Methods and Findings

We have built three filters that use genetic interactions to reduce false-positive minimotif predictions. The basic filter identifies those minimotifs where the source/target …