Information theory provides a comprehensive framework for the evaluation of protein structure predictions.

ABSTRACT: Protein structure prediction has a number of important ad hoc similarity measures for evaluating predictions, but would benefit from a measure that is able to provide a common framework for a broad range of comparisons. Here we show that a mutual information-like measure can provide a comprehensive framework for evaluating protein structure prediction of all types. We discuss the concept of information, its application to secondary structure, and the obstacle to applying it to 3D structure. On the basis of the insights from the secondary structure case, we present an approach to work around the 3D difficulties, and develop a method to measure the mutual information provided by a 3D structure prediction. We integrate the evaluation of all types of protein structure prediction into a single

SUBMITTER: Swanson R 

PROVIDER: S-EPMC2629808 | biostudies-literature | 2009 Feb

REPOSITORIES: biostudies-literature