Lesk A M, Lo Conte L, Hubbard T J
Department of Haematology, University of Cambridge Clinical School, Cambridge Institute for Medical Research, Cambridge, United Kingdom.
Proteins. 2001;Suppl 5:98-118. doi: 10.1002/prot.10056.
In the Novel Fold category, three types of predictions were assessed: three-dimensional structures, secondary structures, and residue-residue contacts. For predictions of three-dimensional models, CASP4 targets included 5 domains or structures with novel folds, and 13 on the borderline between Novel Fold and Fold Recognition categories. These elicited 1863 predictions of these and other targets by methods more general than comparative modeling or fold recognition techniques. The group of Bonneau, Tsai, Ruczinski, and Baker stood out as performing well with the greatest consistency. In many cases, several groups were able to predict fragments of the target correctly-often at a level somewhat larger than standard supersecondary structures-but were not able to assemble fragments into a correct global topology. The methods of Bonneau, Tsai, Ruczinski, and Baker have been successful in addressing the fragment assembly problem for many but not all the target structures.
在新型折叠类别中，评估了三种类型的预测：三维结构、二级结构和残基-残基接触。对于三维模型的预测，CASP4的目标包括5个具有新型折叠的结构域或结构，以及13个处于新型折叠和折叠识别类别之间边界的结构。这些目标通过比比较建模或折叠识别技术更通用的方法引发了对这些目标和其他目标的1863次预测。Bonneau、Tsai、Ruczinski和Baker团队表现出色且一致性最高。在许多情况下，几个团队能够正确预测目标的片段——通常比标准超二级结构稍大一些——但无法将片段组装成正确的全局拓扑结构。Bonneau、Tsai、Ruczinski和Baker的方法在解决许多但并非所有目标结构的片段组装问题上取得了成功。
