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Applying undertaker cost functions to model quality assessment.

Authors
Type
Published Article
Journal
Proteins Structure Function and Bioinformatics
Publisher
Wiley (John Wiley & Sons)
Volume
75
Issue
3
Pages
550–550
Identifiers
DOI: 10.1002/prot.22288
Source
UCSC Bioengineering biomedical-ucsc
License
Unknown

Abstract

Undertaker is a program designed to help predict protein structure using alignments to proteins of known structure and fragment assembly. The program generates conformations and uses cost functions to select the best structures from among the generated conformations. This paper describes the use of Undertaker s cost functions for model quality assessment. We achieve an accuracy that is similar to other methods, without using consensus-based techniques. Adding consensus-based features further improves our approach substantially. We report several correlation measures, including a new weighted version of Kendall s tau (tau(3)) and show model quality assessment results superior to previously published results on all correlation measures when using only models with no missing atoms.

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