Wang Yinhan, Hernandez Rigoberto
Department of Chemistry, The Johns Hopkins University, Baltimore, Maryland 21218, United States.
ACS Omega. 2024 Apr 2;9(15):17667-17680. doi: 10.1021/acsomega.4c01868. eCollection 2024 Apr 16.
We present a general scheme for converting coarse-grained models into Dissipative Particle Dynamics (DPD) models. We build the corresponding DPD models by analogy with the de novo DPD coarse-graining scheme suggested by Groot and Warren (, 1997). Electrostatic interactions between charged DPD particles are represented though the addition of a long-range Slater Coulomb potential as suggested by González-Melchor et al. (., 2006). The construction is illustrated by converting MARTINI models for various proteins into a DPD representation, but it not restricted to the usual potential form in the MARTINI model-viz., Lennard-Jones potentials. We further extended the DPD scheme away from the typical use of homogeneous particle sizes, therefore faithfully representing the variations in the particle sizes seen in the underlying MARTINI model. The accuracy of the resulting construction of our generalized DPD models with respect to several structural observables has been benchmarked favorably against all-atom and MARTINI models for a selected set of peptides and proteins, and variations in the scales of the coarse-graining of the water solvent.
我们提出了一种将粗粒度模型转换为耗散粒子动力学(DPD)模型的通用方案。我们通过类比Groot和Warren(1997年)提出的从头开始的DPD粗粒化方案来构建相应的DPD模型。正如González-Melchor等人(2006年)所建议的那样,通过添加长程斯莱特库仑势来表示带电DPD粒子之间的静电相互作用。通过将各种蛋白质的MARTINI模型转换为DPD表示来说明这种构建方法,但它不限于MARTINI模型中通常的势形式,即 Lennard-Jones 势。我们进一步扩展了DPD方案,使其不再局限于均匀粒径的典型应用,从而如实地反映了基础MARTINI模型中所观察到的粒径变化。对于一组选定的肽和蛋白质以及水溶剂粗粒化尺度的变化,我们构建的广义DPD模型在几个结构可观测量方面的准确性已与全原子模型和MARTINI模型进行了有利的对比测试。