Department of Chemistry and Department of Physics , University of Illinois at Chicago , Chicago , Illinois 60607 , United States.
Institute of Molecular Biophysics , Florida State University , Tallahassee , Florida 32306 , United States.
J Phys Chem B. 2019 Oct 3;123(39):8203-8215. doi: 10.1021/acs.jpcb.9b06808. Epub 2019 Sep 19.
The second virial coefficient, , measures a protein solution's deviation from ideal behavior. It is widely used to predict or explain solubility, crystallization condition, aggregation propensity, and critical temperature for liquid-liquid phase separation. is determined by the interaction energy between two protein molecules and, specifically, by the integration of the Mayer -function in the relative configurational space (translation and rotation) of the two molecules. Simple theoretical models, such as one attributed to Derjaguin, Landau, Verwey, and Overbeek (DLVO), can fit the dependence of on salt concentrations. However, model parameters derived often are physically unrealistic and hardly transferable from protein to protein. Previous calculations incorporating atomistic details were done with limited sampling in the configurational space, due to enormous computational cost. Our FMAP method, based on fast Fourier transform, can considerably accelerate such calculations, and here we adapt it to calculate values for proteins represented at the atomic level in implicit solvent. After tuning of a single parameter in the energy function, FMAPB2 predicts well the values for lysozyme and other proteins over wide ranges of solvent conditions (salt concentration, pH, and temperature). The method is available as a web server at http://pipe.rcc.fsu.edu/fmapb2 .
第二维里系数 衡量蛋白质溶液偏离理想行为的程度。它被广泛用于预测或解释溶解度、结晶条件、聚集倾向和液-液相分离的临界温度。 由两个蛋白质分子之间的相互作用能决定,特别是由两个分子的相对构象空间(平移和旋转)中的 Mayer 函数积分决定。简单的理论模型,如 Derjaguin、Landau、Verwey 和 Overbeek(DLVO)归因的模型,可以拟合 对盐浓度的依赖性。然而,得出的模型参数通常不具有物理现实性,并且很难从一种蛋白质转移到另一种蛋白质。由于计算成本巨大,以前结合原子细节的 计算在构象空间中采样有限。我们基于快速傅里叶变换的 FMAP 方法可以大大加速这些计算,在这里我们将其改编为在隐溶剂中以原子水平表示的蛋白质计算 值。在能量函数中调整单个参数后,FMAPB2 可以很好地预测溶菌酶和其他蛋白质在广泛的溶剂条件(盐浓度、pH 值和温度)下的 值。该方法作为一个网络服务器在 http://pipe.rcc.fsu.edu/fmapb2 上提供。