University College Dublin, Belfield, Dublin 4, Ireland.
J Chem Inf Model. 2024 Oct 14;64(19):7525-7543. doi: 10.1021/acs.jcim.4c00434. Epub 2024 Sep 26.
The corona of a nanoparticle immersed in a biological fluid is of key importance to its eventual fate and bioactivity in the environment or inside live tissues. It is critical to have insight into both the underlying bionano interactions and the corona composition to ensure biocompatibility of novel engineered nanomaterials. A prediction of these properties in silico requires the successful spanning of multiple orders of magnitude of both time and physical dimensions to produce results in a reasonable amount of time, necessitating the development of a multiscale modeling approach. Here, we present the NPCoronaPredict open-source software package: a suite of software tools to enable this prediction for complex multicomponent nanomaterials in essentially arbitrary biological fluids, or more generally any medium containing organic molecules. The package integrates several recent physics-based computational models and a library of both physics-based and data-driven parametrizations for nanomaterials and organic molecules. We describe the underlying theoretical background and the package functionality from the design of multicomponent NPs through to the evaluation of the corona.
纳米颗粒在生物流体中形成的电晕层对其在环境或活组织中的最终归宿和生物活性具有关键作用。深入了解潜在的生物纳米相互作用和电晕组成对于确保新型工程纳米材料的生物相容性至关重要。为了在合理的时间内获得结果,需要成功跨越多个时间和物理尺寸的数量级来进行这些性质的计算预测,这就需要开发一种多尺度建模方法。在这里,我们提出了 NPCoronaPredict 开源软件包:一套软件工具,用于在本质上任意的生物流体中,或者更一般地在包含有机分子的任何介质中,对复杂的多组分纳米材料进行这种预测。该软件包集成了几个基于物理的最新计算模型,以及一个用于纳米材料和有机分子的基于物理和数据驱动的参数化库。我们从设计多组分 NPs 到评估电晕层,描述了潜在的理论背景和软件包功能。