Obolensky O I, Schlepckow Kai, Schwalbe Harald, Solov'yov A V
Frankfurt Institute for Advanced Studies, Max-von-Laue-Str. 1, 60438 Frankfurt am Main, Germany.
J Biomol NMR. 2007 Sep;39(1):1-16. doi: 10.1007/s10858-007-9169-3. Epub 2007 Jul 7.
A theoretical framework for the prediction of nuclear magnetic resonance (NMR) residual dipolar couplings (RDCs) in unfolded proteins under weakly aligning conditions is presented. The unfolded polypeptide chain is modeled as a random flight chain while the alignment medium is represented by a set of regularly arranged obstacles. For the case of bicelles oriented perpendicular to the magnetic field, a closed-form analytical result is derived. With the obtained analytical expression the RDCs are readily accessible for any locus along the chain, for chains of differing length, and for varying bicelle concentrations. The two general features predicted by the model are (i) RDCs in the center segments of a polypeptide chain are larger than RDCs in the end segments, resulting in a bell-shaped sequential distribution of RDCs, and (ii) couplings are larger for shorter chains than for longer chains at a given bicelle concentration. Experimental data available from the literature confirm the first prediction of the model, providing a tool for recognizing fully unfolded polypeptide chains. With less certainty experimental data appear to support the second prediction as well. However, more systematic experimental studies are needed in order to validate or disprove the predictions of the model. The presented framework is an important step towards a solid theoretical foundation for the analysis of experimentally measured RDCs in unfolded proteins in the case of alignment media such as polyacrylamide gels and neutral bicelle systems which align biomacromolecules by a steric mechanism. Various improvements and generalizations are possible within the suggested approach.
本文提出了一个理论框架,用于预测在弱对齐条件下未折叠蛋白质中的核磁共振(NMR)剩余偶极耦合(RDC)。未折叠的多肽链被建模为随机飞行链,而对齐介质由一组规则排列的障碍物表示。对于双分子层垂直于磁场取向的情况,推导了一个封闭形式的解析结果。利用得到的解析表达式,可以很容易地获得沿链上任何位点、不同长度链以及不同双分子层浓度下的RDC。该模型预测的两个一般特征是:(i)多肽链中心段的RDC大于末端段的RDC,导致RDC呈钟形顺序分布;(ii)在给定的双分子层浓度下,较短链的耦合比较长链的耦合大。文献中的实验数据证实了该模型的第一个预测,为识别完全未折叠的多肽链提供了一种工具。实验数据似乎也不太确定地支持第二个预测。然而,需要更系统的实验研究来验证或反驳该模型的预测。对于聚丙烯酰胺凝胶和中性双分子层系统等通过空间位阻机制使生物大分子对齐的对齐介质,所提出的框架是朝着为分析未折叠蛋白质中实验测量的RDC奠定坚实理论基础迈出的重要一步。在建议的方法内可以进行各种改进和推广。