Molecular Biophysics and Structural Biology Graduate Program, University of Pittsburgh and Carnegie Mellon University, Pittsburgh, Pennsylvania 15260, United States.
Department of Structural Biology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15260, United States.
J Phys Chem A. 2022 Apr 14;126(14):2286-2297. doi: 10.1021/acs.jpca.2c00255. Epub 2022 Mar 30.
We developed force field parameters for fluorinated, aromatic amino acids enabling molecular dynamics (MD) simulations of fluorinated proteins. These parameters are tailored to the AMBER ff15ipq protein force field and enable the modeling of 4, 5, 6, and 7F-tryptophan, 3F- and 3,5F-tyrosine, and 4F- or 4-CF-phenylalanine. The parameters include 181 unique atomic charges derived using the implicitly polarized charge (IPolQ) scheme in the presence of SPC/E explicit water molecules and 9 unique bond, angle, or torsion terms. Our simulations of benchmark peptides and proteins maintain expected conformational propensities on the μs time scale. In addition, we have developed an open-source Python program to calculate fluorine relaxation rates from MD simulations. The extracted relaxation rates from protein simulations are in good agreement with experimental values determined by F NMR. Collectively, our results illustrate the power and robustness of the IPolQ lineage of force fields for modeling the structure and dynamics of fluorine-containing proteins at the atomic level.
我们开发了氟化芳香族氨基酸的力场参数,使氟化蛋白质的分子动力学(MD)模拟成为可能。这些参数是针对 AMBER ff15ipq 蛋白质力场定制的,能够模拟 4、5、6 和 7F-色氨酸、3F-和 3,5F-酪氨酸以及 4F-或 4-CF-苯丙氨酸。参数包括 181 个独特的原子电荷,这些电荷是在存在 SPC/E 显式水分子的情况下使用隐式极化电荷(IPolQ)方案得出的,还有 9 个独特的键、角度或扭转项。我们对基准肽和蛋白质的模拟在 μs 时间尺度上保持了预期的构象倾向。此外,我们还开发了一个用于从 MD 模拟中计算氟原子弛豫率的开源 Python 程序。从蛋白质模拟中提取的弛豫率与通过 F NMR 确定的实验值吻合良好。总的来说,我们的结果说明了 IPolQ 系列力场在原子水平上对含氟蛋白质的结构和动力学进行建模的强大功能和稳健性。