Can I read Protein model quality assessment prediction by combining fragment comparisons and a consensus C~α~ contact potential on EtoBox?

Protein model quality assessment prediction by combining fragment comparisons and a consensus C~α~ contact potential by Hongyi Zhou; Jeffrey Skolnick is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.

What is Protein model quality assessment prediction by combining fragment comparisons and a consensus C~α~ contact potential about?

## Abstract In this work, we develop a fully automated method for the quality assessment prediction of protein structural models generated by structure prediction approaches such as fold recognition servers, or ab initio methods. The approach is based on fragment comparisons and a consensus C~α~ contact potential derived from the set of models to be assessed and was tested on CASP7 server models. The average Pearson linear correlation coefficient between predicted quality and model GDT‐score per target is 0.83 for the 98 targets, which is better than those of other quality assessment methods that participated in CASP7. Our method also outperforms the other methods by about 3% as assessed by the total GDT‐score of the selected top models. Proteins 2008. © 2007 Wiley‐Liss, Inc.

Who reads Protein model quality assessment prediction by combining fragment comparisons and a consensus C~α~ contact potential?

Author

Hongyi Zhou; Jeffrey Skolnick

Publisher

John Wiley and Sons; Wiley (John Wiley & Sons); Wiley-Liss Inc; Wiley (ISSN 0887-3585)

Published

2007

Language

EN

Field

Biochemistry, Genetics and Molecular Biology (Life Sciences)