Talreja Sameer, Kenis Paul J A, Zukoski Charles F
Department of Chemical and Biomolecular Engineering, Center for Biophysics and Computational Biology, and Institute for Genomic Biology and Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA.
Langmuir. 2007 Apr 10;23(8):4516-22. doi: 10.1021/la063734j. Epub 2007 Mar 17.
The quality, size, and number of protein crystals grown under conditions of continuous solvent extraction are dependent on the rate of solvent extraction and the initial protein and salt concentration. An increase in the rate of solvent extraction leads to a larger number of crystals. The number of crystals decreases, however, when the experiment is started with an initial protein concentration that is closer to the solubility boundary. Here we develop a kinetic model capable of predicting changes in the number and size of protein crystals as a function of time under continuous evaporation. Moreover, this model successfully predicts the initial condition of drops that will result in gel formation. We test this model with experimental crystal growth data of hen egg white lysozyme for which crystal nucleation and growth rate parameters are known from other studies. The predicted and observed rates of crystal growth are in excellent agreement, which suggests that kinetic constants for nucleation and crystal growth for different proteins can be extracted by applying a kinetic model in combination with observations from a few evaporation-based crystallization experiments.
在连续溶剂萃取条件下生长的蛋白质晶体的质量、大小和数量取决于溶剂萃取速率以及初始蛋白质和盐浓度。溶剂萃取速率的增加会导致晶体数量增多。然而,当实验从更接近溶解度边界的初始蛋白质浓度开始时,晶体数量会减少。在此,我们开发了一个动力学模型,该模型能够预测在连续蒸发条件下蛋白质晶体数量和大小随时间的变化。此外,该模型成功预测了会导致凝胶形成的液滴初始条件。我们用鸡蛋清溶菌酶的实验晶体生长数据对该模型进行了测试,其他研究已得知其晶体成核和生长速率参数。预测的和观察到的晶体生长速率高度吻合,这表明通过将动力学模型与少量基于蒸发的结晶实验的观察结果相结合,可以提取不同蛋白质的成核和晶体生长动力学常数。