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/ .
CASP9 assessment of free modeling target predictions.
CASP9 对自由建模目标预测的评估
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作者:Kinch Lisa, Yong Shi Shuo, Cong Qian, Cheng Hua, Liao Yuxing, Grishin Nick V
| 期刊: | Proteins-Structure Function and Bioinformatics | 影响因子: | 2.800 |
| 时间: | 2011 | 起止号: | 2011;79 Suppl 10(Suppl 10):59-73 |
| doi: | 10.1002/prot.23181 | ||
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