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Protein-protein interactions and protein cluster formation from scattering experiments and coarse-grained molecular models.

机译:蛋白质-蛋白质相互作用和蛋白质簇的形成来自散射实验和粗粒分子模型。

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摘要

Measuring and predicting colloidal protein-protein interactions (PPI) in solution is important for applications ranging from protein phase behavior to aggregation of biopharmaceuticals. However, the nature of these interactions is poorly understood since it is affected by several factors such as temperature and protein sequence. Typically, PPI are characterized via the second viral coefficient (B22), as determined from Rayleigh light scattering (LS). However, discrepancies and confusion have arisen regarding recent interpretations of B22 from classical treatment of LS data, as well as questions about refinement of coarse-grained (CG) models of PPI against experimental results such as B22. Here, an alternative treatment of Rayleigh scattering in multi-component systems is provided based on Kirkwood-Buff solution theory, demonstrating clearly that the correct B22 value can be obtained directly from LS. The model is compared against existing approximations for simulated LS data, as well as experimental scattering data for acidic solutions of alpha-chymotrypsinogen A (aCgn) from low to high protein concentrations. The results illustrating this approach provides quantitatively accurate values for protein interactions vs. protein concentration from low to high concentrations without assumptions on the nature of interactions and/or the thermodynamics of the system. Additionally, a CG model is developed to study the role of colloidal protein interactions on the stability and aggregation propensity of proteins. The novel CG model considers proteins as folded rigid bodies that interact through van der Waals, hydrophobic, and screened Coulomb forces between individual amino acids, which allow one to evaluate the thermodynamic stability of proteins at different interacting conditions. The CG model was applied to investigate the dimerization human gamma-D-Crystallin (gDCrys). The results suggest that the thermodynamic equilibrium between monomeric and dimeric gDCrys is balanced by the formation of weakly bound dimers, and changes in the stability of this species may be a cornerstone for controlling protein cluster formation and aggregation. Furthermore, the results indicate that at experimentally relevant conditions, entropic contributions are predominant in the free-energy of protein cluster formation and colloidal protein interactions, arguing against interpretations that treat B22 primarily from energetic considerations alone.
机译:测量和预测溶液中的胶体蛋白质间相互作用(PPI)对于从蛋白质相行为到生物药物聚集的各种应用都很重要。但是,由于它们受多种因素(例如温度和蛋白质序列)的影响,因此人们对这些相互作用的本质了解甚少。通常,PPI通过第二病毒系数(B22)进行表征,该系数由瑞利光散射(LS)确定。但是,关于LS数据的经典处理对B22的最新解释,以及针对实验结果(如B22)对PPI的粗粒度(CG)模型进行细化的问题,出现了差异和困惑。此处,基于柯克伍德-巴夫溶液理论,提供了多组分系统中瑞利散射的另一种处理方法,清楚地表明可以从LS直接获得正确的B22值。将模型与现有近似的模拟LS数据以及从低到高蛋白质浓度的α-胰凝乳蛋白酶原A(aCgn)酸性溶液的实验散射数据进行比较。说明该方法的结果提供了蛋白质相互作用相对于蛋白质浓度(从低浓度到高浓度)的定量准确值,而无需假设相互作用的性质和/或系统的热力学。此外,开发了CG模型来研究胶体蛋白质相互作用对蛋白质稳定性和聚集倾向的作用。新的CG模型将蛋白质视为折叠的刚体,它们通过范德华力,疏水性和单个氨基酸之间的筛选库仑力相互作用,从而可以评估蛋白质在不同相互作用条件下的热力学稳定性。 CG模型用于研究二聚化人类γ-D-晶体蛋白(gDCrys)。结果表明,单体和二聚体gDCrys之间的热力学平衡通过弱结合的二聚体的形成来平衡,该物种稳定性的变化可能是控制蛋白质簇形成和聚集的基石。此外,结果表明,在实验上相关的条件下,熵的贡献在蛋白质簇形成和胶体蛋白质相互作用的自由能中占主导地位,这与仅从能量方面的考虑来对待B22的解释存在争议。

著录项

  • 作者

    Blanco, Marco A.;

  • 作者单位

    University of Delaware.;

  • 授予单位 University of Delaware.;
  • 学科 Engineering Chemical.;Biophysics General.
  • 学位 Ph.D.
  • 年度 2013
  • 页码 273 p.
  • 总页数 273
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:41:25

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