Honing the in silico toolkit for detecting protein disorder
Honing the in silico toolkit for detecting protein disorder
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DOI：
10.1107/s0907444906033580
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发表时间：
2006-10-01
期刊：
影响因子：
--
通讯作者：
Prilusky, Jaime
中科院分区：
文献类型：
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作者：
Esnouf, Robert M.;Hamer, R.;Prilusky, Jaime
并非所有蛋白质在其天然状态下都能形成明确的三维结构.一些氨基酸序列似乎强烈倾向于无序状态，而一些氨基酸序列在生物环境变化的影响下可以明显地在无序和有序状态之间转变，从而在诸如信号传导的过程中发挥重要作用。尽管在生物学上很重要，但对于结构生物学家来说，蛋白质的无序区域可能是灾难性的，甚至会阻止成功的结构确定。因此，准确预测疾病是重要的，尤其是指导表达构建体的设计，以最大限度地提高成功确定结构的机会。这样的设计标准已经成为欧洲结构蛋白质组学（SPINE）联盟内实验室的构建设计策略的组成部分。本文评估了目前的状态，在无序预测的预测可靠性方面，并考虑如何最好地使用这些方法来指导结构设计。最后，它提出了一个简短的讨论，如何预测方法可能会在未来的改进。
Not all proteins form well defined three- dimensional structures in their native states. Some amino- acid sequences appear to strongly favour the disordered state, whereas some can apparently transition between disordered and ordered states under the influence of changes in the biological environment, thereby playing an important role in processes such as signalling. Although important biologically, for the structural biologist disordered regions of proteins can be disastrous even preventing successful structure determination. The accurate prediction of disorder is therefore important, not least for directing the design of expression constructs so as to maximize the chances of successful structure determination. Such design criteria have become integral to the construct- design strategies of laboratories within the Structural Proteomics In Europe ( SPINE) consortium. This paper assesses the current state of the art in disorder prediction in terms of prediction reliability and considers how best to use these methods to guide construct design. Finally, it presents a brief discussion as to how methods of prediction might be improved in the future.