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Proteins. 2011;79 Suppl 10:59-73. doi: 10.1002/prot.23181. Epub 2011 Oct 14.

CASP9 assessment of free modeling target predictions.

Author information

1
Howard Hughes Medical Institute, University of Texas, Southwestern Medical Center, Dallas, TX 75390-9050, USA. . lkinch@chop.swmed.edu

Abstract

We present an overview of the ninth round of Critical Assessment of Protein Structure Prediction (CASP9) "Template free modeling" category (FM). Prediction models were evaluated using a combination of established structural and sequence comparison measures and a novel automated method designed to mimic manual inspection by capturing both global and local structural features. These scores were compared to those assigned manually over a diverse subset of target domains. Scores were combined to compare overall performance of participating groups and to estimate rank significance. Moreover, we discuss a few examples of free modeling targets to highlight the progress and bottlenecks of current prediction methods. Notably, a server prediction model for a single target (T0581) improved significantly over the closest structure template (44% GDT increase). This accomplishment represents the "winner" of the CASP9 FM category. A number of human expert groups submitted slight variations of this model, highlighting a trend for human experts to act as "meta predictors" by correctly selecting among models produced by the top-performing automated servers. The details of evaluation are available at http://prodata.swmed.edu/CASP9/ .

PMID:
21997521
PMCID:
PMC3226891
DOI:
10.1002/prot.23181
[Indexed for MEDLINE]
Free PMC Article

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