Department of Biochemistry and Molecular Biophysics, Washington University School of Medicine, St. Louis, Missouri 63110, United States.
Center for Biomolecular Condensates, Washington University in St. Louis, St. Louis, Missouri 63130, United States.
J Phys Chem B. 2023 Jun 1;127(21):4746-4760. doi: 10.1021/acs.jpcb.3c01619. Epub 2023 May 18.
Denatured, unfolded, and intrinsically disordered proteins (collectively referred to here as unfolded proteins) can be described using analytical polymer models. These models capture various polymeric properties and can be fit to simulation results or experimental data. However, the model parameters commonly require users' decisions, making them useful for data interpretation but less clearly applicable as stand-alone reference models. Here we use all-atom simulations of polypeptides in conjunction with polymer scaling theory to parameterize an analytical model of unfolded polypeptides that behave as ideal chains (ν = 0.50). The model, which we call the analytical Flory random coil (AFRC), requires only the amino acid sequence as input and provides direct access to probability distributions of global and local conformational order parameters. The model defines a specific reference state to which experimental and computational results can be compared and normalized. As a proof-of-concept, we use the AFRC to identify sequence-specific intramolecular interactions in simulations of disordered proteins. We also use the AFRC to contextualize a curated set of 145 different radii of gyration obtained from previously published small-angle X-ray scattering experiments of disordered proteins. The AFRC is implemented as a stand-alone software package and is also available via a Google Colab notebook. In summary, the AFRC provides a simple-to-use reference polymer model that can guide intuition and aid in interpreting experimental or simulation results.
变性的、未折叠的和固有无序的蛋白质(统称为未折叠蛋白质)可以使用分析聚合物模型来描述。这些模型捕捉到各种聚合物性质,并可拟合模拟结果或实验数据。然而,模型参数通常需要用户做出决策,这使得它们在数据解释方面非常有用,但作为独立的参考模型则不太适用。在这里,我们使用全原子模拟多肽与聚合物标度理论相结合,对无规卷曲的未折叠多肽进行参数化,该模型表现为理想链(ν=0.50)。我们称之为分析弗洛里无规卷曲(AFRC)的模型只需要输入氨基酸序列,并提供对全局和局部构象序参数的概率分布的直接访问。该模型定义了一个特定的参考状态,可以将实验和计算结果与之进行比较和归一化。作为概念验证,我们使用 AFRC 来识别无序蛋白质模拟中特定于序列的分子内相互作用。我们还使用 AFRC 来分析从先前发表的无序蛋白质小角 X 射线散射实验中获得的 145 种不同回转半径的情况。AFRC 作为一个独立的软件包实现,并可通过 Google Colab 笔记本访问。总之,AFRC 提供了一个简单易用的参考聚合物模型,可以指导直觉并有助于解释实验或模拟结果。