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In this work, we employ extensive GCMe-DPD simulations that incorporate hydrodynamics, electrostatics, and polymer characteristics to study charge sequence-dependent dynamics in IDP condensates across various length and time scales.

本研究采用融合流体力学、静电学与聚合物特性的大规模GCMe-DPD模拟方法，针对不同时空尺度下内在无序蛋白（intrinsically disordered proteins, IDP）凝聚体中依赖电荷序列的动力学行为展开研究。