4.3 Article

CASP9 assessment of free modeling target predictions

Journal

PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
Volume 79, Issue -, Pages 59-73

Publisher

WILEY-BLACKWELL
DOI: 10.1002/prot.23181

Keywords

protein-fold prediction; structure comparison; alignment quality; ab-initio; domain structure; CASP9

Funding

  1. National Institutes of Health [GM094575]
  2. Welch Foundation [I-1505]
  3. NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES [R01GM094575, R01GM067165] Funding Source: NIH RePORTER

Ask authors/readers for more resources

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/. Proteins 2011; 79(Suppl 10):59-73. (C) 2011 Wiley-Liss, Inc.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.3
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available