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本文引用的文献

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Transfer Free Energies of Test Proteins Into Crowded Protein Solutions Have Simple Dependence on Crowder Concentration.测试蛋白质转移至拥挤蛋白质溶液中的自由能与拥挤剂浓度存在简单的依赖关系。
Front Mol Biosci. 2019 May 29;6:39. doi: 10.3389/fmolb.2019.00039. eCollection 2019.
2
Why Do Disordered and Structured Proteins Behave Differently in Phase Separation?无序和结构蛋白在相分离中为何表现不同?
Trends Biochem Sci. 2018 Jul;43(7):499-516. doi: 10.1016/j.tibs.2018.03.007. Epub 2018 Apr 30.
3
Using the fast fourier transform in binding free energy calculations.运用快速傅里叶变换进行结合自由能计算。
J Comput Chem. 2018 Apr 30;39(11):621-636. doi: 10.1002/jcc.25139. Epub 2017 Dec 22.
4
Predicting Protein Interactions of Concentrated Globular Protein Solutions Using Colloidal Models.使用胶体模型预测高浓度球状蛋白溶液中的蛋白质相互作用。
J Phys Chem B. 2017 May 11;121(18):4756-4767. doi: 10.1021/acs.jpcb.7b02183. Epub 2017 Apr 27.
5
Protein folding, binding, and droplet formation in cell-like conditions.在类细胞条件下的蛋白质折叠、结合及液滴形成。
Curr Opin Struct Biol. 2017 Apr;43:28-37. doi: 10.1016/j.sbi.2016.10.006. Epub 2016 Oct 20.
6
Similar interaction chromatography of proteins: A cross interaction chromatographic approach to estimate the osmotic second virial coefficient.蛋白质的相似相互作用色谱法:一种用于估算渗透压第二维里系数的交叉相互作用色谱方法。
J Chromatogr A. 2016 Aug 12;1459:47-56. doi: 10.1016/j.chroma.2016.06.048. Epub 2016 Jun 16.
7
Fast Method for Computing Chemical Potentials and Liquid-Liquid Phase Equilibria of Macromolecular Solutions.计算大分子溶液化学势和液-液相平衡的快速方法。
J Phys Chem B. 2016 Aug 25;120(33):8164-74. doi: 10.1021/acs.jpcb.6b01607. Epub 2016 Jul 5.
8
Multi-Conformation Monte Carlo: A Method for Introducing Flexibility in Efficient Simulations of Many-Protein Systems.多构象蒙特卡洛方法:一种在多蛋白系统高效模拟中引入灵活性的方法。
J Phys Chem B. 2016 Aug 25;120(33):8115-26. doi: 10.1021/acs.jpcb.6b00827. Epub 2016 Apr 21.
9
The second virial coefficient as a predictor of protein aggregation propensity: A self-interaction chromatography study.作为蛋白质聚集倾向预测指标的第二维里系数:一项自相互作用色谱研究。
Eur J Pharm Biopharm. 2015 Oct;96:282-90. doi: 10.1016/j.ejpb.2015.07.025. Epub 2015 Aug 7.
10
Extended law of corresponding states for protein solutions.蛋白质溶液的对应态扩展定律。
J Chem Phys. 2015 May 7;142(17):174905. doi: 10.1063/1.4919127.

基于快速傅里叶变换的原子蛋白第二维里系数计算

Calculation of Second Virial Coefficients of Atomistic Proteins Using Fast Fourier Transform.

机构信息

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.

出版信息

J Phys Chem B. 2019 Oct 3;123(39):8203-8215. doi: 10.1021/acs.jpcb.9b06808. Epub 2019 Sep 19.

DOI:10.1021/acs.jpcb.9b06808
PMID:31490691
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7032052/
Abstract

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 .

摘要

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。