Assessment of predictions submitted for the CASP7 domain prediction category

被引:32
作者
Tress, Michael
Cheng, Jianlin
Baldi, Pierre
Joo, Keehyoung
Lee, Jinwoo
Seo, Joo-Hyun
Lee, Jooyoung
Baker, David
Chivian, Dylan
Kim, David
Ezkurdia, Lakes
机构
[1] Spanish Natl Canc Res Ctr, Struct & Biol Computat Programme, Madrid, Spain
[2] Univ Cent Florida, Sch Elect Engn & Comp Sci, Orlando, FL 32816 USA
[3] Univ Calif Irvine, Sch Informat & Comp Sci, Inst Genom & Bioinformat, Irvine, CA USA
[4] Sch Comp Sci, Korea Inst Adv Study, Seoul 130722, South Korea
[5] Seoul Natl Univ, Sch Chem & Biol Engn, Seoul 151742, South Korea
[6] Univ Washington, Dept Biochem, Seattle, WA 98195 USA
[7] Lawrence Berkeley Natl Lab, Phys Biosci Div, Berkeley, CA USA
关键词
domain boundaries; domain overlap; evaluation; ab initio domain prediction; template-based domain prediction; proteins;
D O I
10.1002/prot.21675
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
This paper details the assessment process and evaluation results for the Critical Assessment of Protein Structure Prediction (CASP7) domain prediction category. Domain predictions were assessed using the Normalized Domain Overlap score introduced in CASP6 and the accuracy of prediction of domain break points. The results of the analysis clearly demonstrate that the best methods are able to make consistently reliable predictions when the target has a structural template, although they are less good when the domain break occurs in a region not covered by a template. The conditions of the experiment meant that it was impossible to draw any conclusions about domain prediction for free modeling targets and it was also difficult to draw many distinctions between the best groups. Two thirds of the targets submitted were single domains and hence regarded as easy to predict. Even those targets defined as having multiple domains always had at least one domain with a similar template structure.
引用
收藏
页码:137 / 151
页数:15
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