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仅从序列就能预测淀粉样蛋白生成区域吗?

Is it possible to predict amyloidogenic regions from sequence alone?

作者信息

Galzitskaya Oxana V, Garbuzynskiy Sergiy O, Lobanov Michail Yu

机构信息

Institute of Protein Research, Russian Academy of Sciences, Institutskaya str., 4, Pushchino, Moscow Region, 142290, Russia.

出版信息

J Bioinform Comput Biol. 2006 Apr;4(2):373-88. doi: 10.1142/s0219720006002004.

Abstract

Identification of potentially amyloidogenic regions in polypeptide chains is very important because the amyloid fibril formation can be induced in most normal proteins. In our work we suggest a new method to detect amyloidogenic regions in protein sequence. It is based on the assumption that packing is tight inside an amyloid and therefore regions which could potentially pack well would have a tendency to form amyloids. This means that the regions with strong expected packing of residues would be responsible for the amyloid formation. We use this property to identify potentially amyloidogenic regions in proteins basing on their amino acid sequences only. Our predictions are consistent with known disease-related amyloidogenic regions for 8 of 11 amyloid-forming proteins and peptides in which the positions of amyloidogenic regions have been revealed experimentally. Predictions of the regions which are responsible for the formation of amyloid fibrils in proteins unrelated to disease have been also done.

摘要

识别多肽链中潜在的淀粉样蛋白生成区域非常重要,因为大多数正常蛋白质都可诱导形成淀粉样纤维。在我们的工作中,我们提出了一种检测蛋白质序列中淀粉样蛋白生成区域的新方法。它基于这样一种假设:淀粉样蛋白内部的堆积紧密,因此那些可能堆积良好的区域会有形成淀粉样蛋白的倾向。这意味着具有强烈预期残基堆积的区域将导致淀粉样蛋白的形成。我们仅根据蛋白质的氨基酸序列利用这一特性来识别其中潜在的淀粉样蛋白生成区域。对于11种已通过实验揭示淀粉样蛋白生成区域位置的淀粉样蛋白形成蛋白和肽中的8种,我们的预测与已知的疾病相关淀粉样蛋白生成区域一致。我们还对与疾病无关的蛋白质中负责形成淀粉样纤维的区域进行了预测。

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