| Literature DB >> 21997521 |
Lisa Kinch1, Shuo Yong Shi, Qian Cong, Hua Cheng, Yuxing Liao, Nick V Grishin.
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/ .Entities:
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Year: 2011 PMID: 21997521 PMCID: PMC3226891 DOI: 10.1002/prot.23181
Source DB: PubMed Journal: Proteins ISSN: 0887-3585