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Prediction of global and local quality of CASP8 models by MULTICOM series by Jianlin Cheng; Zheng Wang; Allison N. Tegge; Jesse Eickholt is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.
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## Abstract Evaluating the quality of protein structure models is important for selecting and using models. Here, we describe the MULTICOM series of model quality predictors which contains three predictors tested in the CASP8 experiments. We evaluated these predictors on 120 CASP8 targets. The average correlations between predicted and real GDT‐TS scores of the two semi‐clustering methods (MULTICOM and MULTICOM‐CLUSTER) and the one single‐model __ab initio__ method (MULTICOM‐CMFR) are 0.90, 0.89, and 0.74, respectively; and their average difference (or GDT‐TS loss) between the global GDT‐TS scores of the top‐ranked models and the best models are 0.05, 0.06, and 0.07, respectively. The average correlation between predicted and real local quality scores of the semi‐clustering methods is above 0.64. Our results show that the novel semi‐clustering approach that compares a model with top ranked reference models can improve initial quality scores generated by the __ab initio__ method and a simple meta approach. Proteins 2009. © 2009 Wiley‐Liss, Inc.
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It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.
- Author
- Jianlin Cheng; Zheng Wang; Allison N. Tegge; Jesse Eickholt
- Publisher
- John Wiley and Sons; Wiley (John Wiley & Sons); Wiley-Liss Inc; Wiley (ISSN 0887-3585)
- Published
- 2009
- Language
- EN
- Field
- Biochemistry, Genetics and Molecular Biology (Life Sciences)