Premium
Applying undertaker cost functions to model quality assessment
Author(s) -
Archie John,
Karplus Kevin
Publication year - 2008
Publication title -
proteins: structure, function, and bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.699
H-Index - 191
eISSN - 1097-0134
pISSN - 0887-3585
DOI - 10.1002/prot.22288
Subject(s) - quality (philosophy) , computer science , business , physics , quantum mechanics
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 τ (τ 3 ) and show model quality assessment results superior to previously published results on all correlation measures when using only models with no missing atoms. Proteins 2009. © 2008 Wiley‐Liss, Inc.