Bian Liujiao, Ji Xu
College of Life Science, Northwest University, Xi'an, Shaanxi, China.
PLoS One. 2014 Mar 6;9(3):e91129. doi: 10.1371/journal.pone.0091129. eCollection 2014.
Extensive and intensive studies on the unfolding of proteins require appropriate theoretical model and parameter to clearly illustrate the feature and characteristic of the unfolding system. Over the past several decades, four approaches have been proposed to describe the interaction between proteins and denaturants, but some ambiguity and deviations usually occur in the explanation of the experimental data.
METHODOLOGY/PRINCIPAL FINDINGS: In this work, a theoretical model was presented to show the dependency of the residual activity ratio of the proteins on the molar denaturant concentration. Through the characteristic unfolding parameters ki and Δmi in this model, the distribution, transition and thermodynamic stability of protein conformations during the unfolding process can be quantitatively described. This model was tested with the two-state unfolding of bovine heart cytochrome c and the three-state unfolding of hen egg white lysozyme induced by both guanidine hydrochloride and urea, the four-state unfolding of bovine carbonic anhydrase b induced by guanidine hydrochloride and the unfolding of some other proteins induced by denaturants. The results illustrated that this model could be used accurately to reveal the distribution and transition of protein conformations in the presence of different concentrations of denaturants and to evaluate the unfolding tendency and thermodynamic stability of different conformations. In most denaturant-induced unfolding of proteins, the unfolding became increasingly hard in next transition step and the proteins became more unstable as they attained next successive stable conformation.
CONCLUSIONS/SIGNIFICANCE: This work presents a useful method for people to study the unfolding of proteins and may be used to describe the unfolding and refolding of other biopolymers induced by denaturants, inducers, etc.
对蛋白质去折叠进行广泛而深入的研究需要合适的理论模型和参数,以清晰地阐明去折叠系统的特征和特性。在过去的几十年里,已经提出了四种方法来描述蛋白质与变性剂之间的相互作用,但在解释实验数据时通常会出现一些模糊性和偏差。
方法/主要发现:在这项工作中,提出了一个理论模型来展示蛋白质的残余活性比与变性剂摩尔浓度之间的依赖性。通过该模型中的特征去折叠参数ki和Δmi,可以定量描述蛋白质构象在去折叠过程中的分布、转变和热力学稳定性。该模型用盐酸胍和尿素诱导的牛心细胞色素c的两态去折叠、鸡蛋清溶菌酶的三态去折叠、盐酸胍诱导的牛碳酸酐酶b的四态去折叠以及其他变性剂诱导的一些蛋白质的去折叠进行了测试。结果表明,该模型可以准确地用于揭示在不同浓度变性剂存在下蛋白质构象的分布和转变,并评估不同构象的去折叠趋势和热力学稳定性。在大多数变性剂诱导的蛋白质去折叠中,下一个转变步骤的去折叠变得越来越困难,并且蛋白质在达到下一个连续稳定构象时变得更加不稳定。
结论/意义:这项工作为人们研究蛋白质去折叠提供了一种有用的方法,并且可用于描述由变性剂、诱导剂等诱导的其他生物聚合物的去折叠和重折叠。