CASP9 assessment of free modeling target predictions

Lisa Kinch, Shuo Yong Shi, Qian Cong, Hua Cheng, Yuxing Liao, Nick V. Grishin

Research output: Contribution to journalArticle

76 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)59-73
Number of pages15
JournalProteins: Structure, Function and Bioinformatics
Volume79
Issue numberSUPPL. 10
DOIs
StatePublished - Oct 17 2011

Keywords

  • Alignment quality
  • CASP9
  • Domain structure
  • Protein-fold prediction
  • Structure comparison
  • ab-initio

ASJC Scopus subject areas

  • Structural Biology
  • Biochemistry
  • Molecular Biology

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