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CASP9 assessment of free modeling target predictions

✍ Scribed by Lisa Kinch; Shuo Yong Shi; Qian Cong; Hua Cheng; Yuxing Liao; Nick V. Grishin


Book ID
105358328
Publisher
John Wiley and Sons
Year
2011
Tongue
English
Weight
914 KB
Volume
79
Category
Article
ISSN
0887-3585

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✦ Synopsis


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/. © Proteins 2011; © 2011 Wiley‐Liss, Inc.


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