Hazrati Mehrnoosh Khodam, Sukeník Lukáš, Vácha Robert
CEITEC─Central European Institute of Technology, Masaryk University, Kamenice 753/5, 625 00 Brno, Czech Republic.
Department of Condensed Matter Physics, Faculty of Science, Masaryk University, Kotlářská 267/2, 611 37 Brno, Czech Republic.
J Chem Inf Model. 2025 Jan 27;65(2):845-856. doi: 10.1021/acs.jcim.4c01664. Epub 2025 Jan 8.
All-atom molecular dynamics simulations are powerful tools for studying cell membranes and their interactions with proteins and other molecules. However, these processes occur on time scales determined by the diffusion rate of phospholipids, which are challenging to achieve in all-atom models. Here, we present a new all-atom model that accelerates lipid diffusion by splitting phospholipid molecules into head and tail groups. The bilayer structure is maintained by using external lateral potentials, which compensate for the lipid split. This split model enhances lateral lipid diffusion more than ten times, allowing faster and cheaper equilibration of large systems with different phospholipid types. The current model has been tested on membranes containing PSM, POPC, POPS, POPE, POPA, and cholesterol. We have also evaluated the interaction of the split model membranes with the Disheveled DEP domain and amphiphilic helix motif of the transcriptional repressor Opi1 as representative of peripheral proteins as well as the dimeric fragment of the epidermal growth factor receptor transmembrane domain and the Human A2A Adenosine of G protein-coupled receptors as representative of transmembrane proteins. The split model can predict the interaction sites of proteins and their preferred phospholipid type. Thus, the model could be used to identify lipid binding sites and equilibrate large membranes at an affordable computational cost.
全原子分子动力学模拟是研究细胞膜及其与蛋白质和其他分子相互作用的强大工具。然而,这些过程发生的时间尺度由磷脂的扩散速率决定,这在全原子模型中很难实现。在此,我们提出了一种新的全原子模型,该模型通过将磷脂分子拆分为头部和尾部基团来加速脂质扩散。通过使用外部侧向势来维持双层结构,该势补偿了脂质的拆分。这种拆分模型将横向脂质扩散提高了十多倍,使得具有不同磷脂类型的大系统能够更快、更经济地达到平衡。当前模型已在含有PSM、POPC、POPS、POPE、POPA和胆固醇的膜上进行了测试。我们还评估了拆分模型膜与作为外周蛋白代表的Disheveled DEP结构域和转录抑制因子Opi1的两亲螺旋基序的相互作用,以及作为跨膜蛋白代表的表皮生长因子受体跨膜结构域的二聚体片段和人A2A腺苷G蛋白偶联受体的相互作用。拆分模型可以预测蛋白质的相互作用位点及其偏好的磷脂类型。因此,该模型可用于识别脂质结合位点,并以可承受的计算成本平衡大的膜。