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预测天然无规则蛋白质的因素:在通用数据集的有序和无序之间的“模糊地带”检测的一致共识评分。

Predictors of natively unfolded proteins: unanimous consensus score to detect a twilight zone between order and disorder in generic datasets.

机构信息

Department of Physics, La Sapienza University of Rome, Ple A, Moro 5, 00185 Rome, Italy.

出版信息

BMC Bioinformatics. 2010 Apr 21;11:198. doi: 10.1186/1471-2105-11-198.

Abstract

BACKGROUND

Natively unfolded proteins lack a well defined three dimensional structure but have important biological functions, suggesting a re-assignment of the structure-function paradigm. To assess that a given protein is natively unfolded requires laborious experimental investigations, then reliable sequence-only methods for predicting whether a sequence corresponds to a folded or to an unfolded protein are of interest in fundamental and applicative studies. Many proteins have amino acidic compositions compatible both with the folded and unfolded status, and belong to a twilight zone between order and disorder. This makes difficult a dichotomic classification of protein sequences into folded and natively unfolded ones. In this work we propose an operational method to identify proteins belonging to the twilight zone by combining into a consensus score good performing single predictors of folding.

RESULTS

In this methodological paper dichotomic folding indexes are considered: hydrophobicity-charge, mean packing, mean pairwise energy, Poodle-W and a new global index, that is called here gVSL2, based on the local disorder predictor VSL2. The performance of these indexes is evaluated on different datasets, in particular on a new dataset composed by 2369 folded and 81 natively unfolded proteins. Poodle-W, gVSL2 and mean pairwise energy have good performance and stability in all the datasets considered and are combined into a strictly unanimous combination score SSU, that leaves proteins unclassified when the consensus of all combined indexes is not reached. The unclassified proteins: i) belong to an overlap region in the vector space of amino acidic compositions occupied by both folded and unfolded proteins; ii) are composed by approximately the same number of order-promoting and disorder-promoting amino acids; iii) have a mean flexibility intermediate between that of folded and that of unfolded proteins.

CONCLUSIONS

Our results show that proteins unclassified by SSU belong to a twilight zone. Proteins left unclassified by the consensus score SSU have physical properties intermediate between those of folded and those of natively unfolded proteins and their structural properties and evolutionary history are worth to be investigated.

摘要

背景

天然无规蛋白质缺乏明确的三维结构,但具有重要的生物学功能,这表明结构-功能范式需要重新定义。评估给定的蛋白质是否为天然无规蛋白质需要进行艰苦的实验研究,因此,在基础和应用研究中,预测序列是否对应折叠或无规蛋白质的可靠序列仅方法是很有意义的。许多蛋白质的氨基酸组成既与折叠状态又与无规状态兼容,并属于有序和无序之间的过渡区。这使得将蛋白质序列分为折叠和天然无规序列的二分法分类变得困难。在这项工作中,我们提出了一种通过将良好折叠预测器的组合成共识得分来识别处于过渡区的蛋白质的操作方法。

结果

本文考虑了二分折叠指数:疏水性-电荷、平均堆积、平均成对能量、Poodle-W 和一个新的全局指数,称为 gVSL2,基于局部无序预测器 VSL2。这些指数在不同的数据集上进行了评估,特别是在由 2369 个折叠蛋白和 81 个天然无规蛋白组成的新数据集上。Poodle-W、gVSL2 和平均成对能量在所有考虑的数据集上都具有良好的性能和稳定性,并被组合成一个严格一致的组合得分 SSU,当所有组合指数的共识未达成时,该得分将蛋白质未分类。未分类的蛋白质:i)属于折叠和无规蛋白质占据的氨基酸组成的向量空间中的重叠区域;ii)由大约相同数量的促进有序和促进无序的氨基酸组成;iii)具有介于折叠和天然无规蛋白质之间的平均柔韧性。

结论

我们的结果表明,SSU 未分类的蛋白质属于过渡区。SSU 共识得分未分类的蛋白质具有介于折叠和天然无规蛋白质之间的物理性质,它们的结构性质和进化历史值得研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd18/2877690/bf9537972be1/1471-2105-11-198-1.jpg

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