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AIC Seminar Series

Proteome Analyst: A web-based tool for Predicting Properties of Proteins

Russell GreinerUniversity of Alberta[Home Page]

Notice:  Hosted by Vinay Chaudhri. Note the non-usual day (Tuesday)

Date:  2010-02-23 at 16:00

Location:  EJ228 (SRI E building)  (Directions)

   Abstract

Proteome Analyst (PA) is a publicly available, high-throughput, web-based system for predicting various properties of each protein in an entire proteome. Using machine-learned classifiers, PA can predict, for example, the GeneQuiz general function and Gene Ontology (GO) molecular function of a protein. In addition, PA is one of the most accurate and most comprehensive systems for predicting subcellular localization, the location within a cell where a protein performs its main function. Two other capabilities of PA are notable. First, PA can create a custom classifier to predict a new property, without requiring any programming, based on labeled training data (i.e. a set of examples, each with the correct classification label) provided by a user. PA has been used to create custom classifiers for potassium-ion channel proteins and other general function ontologies. Second, PA provides a sophisticated explanation feature that shows why one prediction is chosen over another. The PA system produces a Naive Bayes classifier, which is amenable to a graphical and interactive approach to explanations for its predictions; transparent predictions increase the user’s confidence in, and understanding of, PA.

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