Kumar Sandeep, Nussinov Ruth
Department of Biological Sciences and Bioengineering, Indian Institute of Technology Kanpur, Kanpur, U.P. 208016, India.
Biophys Chem. 2004 Nov 1;111(3):235-46. doi: 10.1016/j.bpc.2004.06.005.
Here, we perform protein thermodynamic simulations within a set of boundary conditions, effectively blanketing the experimental data. The thermodynamic parameters, melting temperature (TG), enthalpy change at the melting temperature (DeltaHG) and heat capacity change (DeltaCp) were systematically varied over the experimentally observed ranges for small single domain reversible two-state proteins. Parameter sets that satisfy the Gibbs-Helmholtz equation and yield a temperature of maximal stability (TS) around room temperature were selected. The results were divided into three categories by arbitrarily chosen TG ranges. The TG ranges in these categories correspond to typical values of the melting temperatures observed for the majority of the proteins from mesophilic, thermophilic and hyperthermophilic organisms. As expected, DeltaCp values tend to be high in mesophiles and low in hyperthermophiles. An increase in TG is accompanied by an up-shift and broadening of the protein stability curves, however, with a large scatter. Furthermore, the simulations reveal that the average DeltaHG increases with TG up to approximately 360 K and becomes constant thereafter. DeltaCp decreases with TG with different rates before and after approximately 360 K. This provides further justification for the separate grouping of proteins into thermophiles and hyperthermophiles to assess their thermodynamic differences. This analysis of the Gibbs-Helmholtz equation has allowed us to study the interdependence of the thermodynamic parameters TG, DeltaHG and DeltaCp and their derivatives in a more rigorous way than possible by the limited experimental protein thermodynamics data available in the literature. The results provide new insights into protein thermostability and suggest potential strategies for its manipulation.
在此,我们在一组边界条件下进行蛋白质热力学模拟,有效地覆盖了实验数据。对于小的单结构域可逆双态蛋白质,热力学参数,即解链温度((T_G))、解链温度下的焓变((\Delta H_G))和热容变化((\Delta C_p))在实验观察到的范围内系统地变化。选择满足吉布斯 - 亥姆霍兹方程且在室温附近产生最大稳定性温度((T_S))的参数集。结果根据任意选择的(T_G)范围分为三类。这些类别中的(T_G)范围对应于嗜温、嗜热和超嗜热生物中大多数蛋白质观察到的典型解链温度值。正如预期的那样,嗜温生物中的(\Delta C_p)值往往较高,而超嗜热生物中的(\Delta C_p)值较低。(T_G)的增加伴随着蛋白质稳定性曲线的上移和展宽,然而,存在较大的离散性。此外,模拟表明,平均(\Delta H_G)随着(T_G)增加到约360 K,此后保持恒定。在约360 K之前和之后,(\Delta C_p)以不同的速率随(T_G)降低。这为将蛋白质分别分为嗜热和超嗜热类别以评估它们的热力学差异提供了进一步的依据。对吉布斯 - 亥姆霍兹方程的这种分析使我们能够以比文献中有限的实验蛋白质热力学数据更严格的方式研究热力学参数(T_G)、(\Delta H_G)和(\Delta C_p)及其导数之间的相互依赖性。结果为蛋白质热稳定性提供了新的见解,并提出了潜在的调控策略。