CASP9 target classification.
CASP9 target classification.
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DOI:
10.1002/prot.23190
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发表时间:
2011
影响因子:
2.9
通讯作者:
Grishin, Nick V.
中科院分区:
文献类型:
--
作者:
Kinch, Lisa N.;Shi, Shuoyong;Cheng, Hua;Cong, Qian;Pei, Jimin;Mariani, Valerio;Schwede, Torsten;Grishin, Nick V.
关键词:
The Critical Assessment of Protein Structure Prediction round 9 (CASP9) aimed to evaluate predictions for 129 experimentally determined protein structures. To assess tertiary structure predictions, these target structures were divided into domain-based evaluation units that were then classified into two assessment categories: template based modeling (TBM) and template free modeling (FM). CASP9 targets were split into domains of structurally compact evolutionary modules. For the targets with more than one defined domain, the decision to split structures into domains for evaluation was based on server performance. Target domains were categorized based on their evolutionary relatedness to existing templates as well as their difficulty levels indicated by server performance. Those target domains with sequence-related templates and high server prediction performance were classified as TMB, while those targets without identifiable templates and low server performance were classified as FM. However, using these generalizations for classification resulted in a blurred boundary between CASP9 assessment categories. Thus, the FM category included those domains without sequence detectable templates (25 target domains) as well as some domains with difficult to detect templates whose predictions were as poor as those without templates (5 target domains). Several interesting examples are discussed, including targets with sequence related templates that exhibit unusual structural differences, targets with homologous or analogous structure templates that are not detectable by sequence, and targets with new folds.
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影响因子:
5.6
作者:
Hemond, Michael;Rothstein, Thomas L.;Wagner, Gerhard
通讯作者:
Wagner, Gerhard
影响因子:
14.9
作者:
Heidebrecht T;Christodoulou E;Chalmers MJ;Jan S;Ter Riet B;Grover RK;Joosten RP;Littler D;van Luenen H;Griffin PR;Wentworth P Jr;Borst P;Perrakis A
通讯作者:
Perrakis A
影响因子:
5.8
作者:
Shi, Shuoyong;Zhong, Yi;Grishin, Nick V.
通讯作者:
Grishin, Nick V.
影响因子:
14.9
作者:
Zemla, A
通讯作者:
Zemla, A
影响因子:
14.9
作者:
Shi S;Chitturi B;Grishin NV
通讯作者:
Grishin NV