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QMEAN: A comprehensive scoring function for model quality assessment

delete2007-10-11
delete885
PRE
AI
P
Pascal Benkert
S
Silvio C. E. Tosatto
D
Dietmar Schomburg *
DOI:10.1002/prot.21715delete
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摘要

摘要

En 中文
In protein structure prediction, a considerable number of alternative models are usually produced from which subsequently the final model has to be selected. Thus, a scoring function for the identification of the best model within an ensemble of alternative models is a key component of most protein structure prediction pipelines. QMEAN, which stands for Qualitative Model Energy ANalysis, is a composite scoring function describing the major geometrical aspects of protein structures. Five different structural descriptors are used. The local geometry is analyzed by a new kind of torsion angle potential over three consecutive amino acids. A secondary structure-specific distance-dependent pairwise residue-level potential is used to assess long-range interactions. A solvation potential describes the burial status of the residues. Two simple terms describing the agreement of predicted and calculated secondary structure and solvent accessibility, respectively, are also included. A variety of different implementations are investigated and several approaches to combine and optimize them are discussed. QMEAN was tested on several standard decoy sets including a molecular dynamics simulation decoy set as well as on a comprehensive data set of totally 22,420 models from server predictions for the 95 targets of CASP7. In a comparison to five well-established model quality assessment programs, QMEAN shows a statistically significant improvement over nearly all quality measures describing the ability of the scoring function to identify the native structure and to discriminate good from bad models. The three-residue torsion angle potential turned out to be very effective in recognizing the native fold.
Keyword:
protein structure prediction
model quality assessment
comparative modeling
fold recognition
statistical potentials
torsion angle potential
scoring function
energy function
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期刊

P
Proteins Structure Function and Bioinformatics
IF:
2.8
论文数:
6.6K
被引数:
1.4W

机构

U
University of Cologne
学者数:
3.0W
论文数: 2.1W
被引数: 2.4W
B
Braunschweig University of Technology
学者数:
7.8K
论文数: 6.7K
被引数: 19
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