Mesoscale spatial kinetic modeling of cell systems

细胞系统的中尺度空间动力学建模

• 批准号: 10189659
• 负责人: LESLIE M LOEW
• 金额: $ 34.44万
• 依托单位: UNIVERSITY OF CONNECTICUT SCH OF MED/DNT
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-20 至 2023-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10189659
• 关键词: 3-Dimensional; Accounting; Address; Amalgam; Binding; Binding Sites; Biochemical; Biological Models; Biophysical Process; Cell Adhesion; Cell model; Cell physiology; Cells; Chromatin; Code; Complex; Computer Models; Computer software; Data; Diabetes Mellitus; Diffuse; Diffusion; Disease; Filopodia; Foundations; Geometry; Grain; Grant; Java; Kidney Failure; Kinetics; Malignant Neoplasms; Membrane; Membrane Microdomains; Methods; Modeling; Molecular; Molecular Structure; Nucleoproteins; Performance; Phase; Probability; Process; Reaction; Receptor Signaling; Running; Scheme; Shapes; Signal Transduction; Site; Specific qualifier value; Speed; Statistical Data Interpretation; Statistical Methods; Structure; Surface; Synapses; System; Technology; Thinness; analytical method; autism spectrum disorder; base; combinatorial; density; experience; flexibility; immunological synapse; improved; insight; kinetic model; mechanical force; models and simulation; molecular dynamics; molecular modeling; novel strategies; particle; polymerization; reaction rate; simulation; software systems; stoichiometry; tool; vector; virtual

This project proposes to develop new network-free spatial modeling software at the mesoscale - occupying the niche between detailed molecular dynamics and cellular reaction-diffusion systems. Specifically, we plan to address spatial scales in the range of 50nm – 2µm and temporal scales within the range of 100µs to 10s. Examples of systems that would benefit from modeling tools at this “mesoscale” are receptor signaling platforms and clusters (e.g. the immune synapse or the post-synaptic density), cell adhesion complexes, lipid rafts, chromatin organization, cytoskeletal dynamics, and nucleoprotein phases. Our approach builds on the foundation of the SpringSaLaD software, which uses a Langevin dynamics formalism to model multi-molecular interactions with explicit excluded volumes. It permits spatial simulations of combinatorially complex processes such as clustering and polymerization. The approach is an amalgam of kinetic and molecular modeling, in that it derives probabilities of reactions from both coarse structural features of the molecules and macroscopic biochemical parameters such as on and off rate constants, diffusion coefficients and allosteric state transition rates. Currently SpringSaLaD represents molecules as spherical “sites” connected by linear linkers, modeled as stiff springs. Molecules can diffuse and react either in a rectangular volume or be anchored to a planar patch of membrane. Our Specific Aims propose to dramatically expand the scope of SpringSaLaD by allowing more realistic representation of structural details and expanding the range of biophysical mechanisms that can be modelled. To better account for the influence of membrane curvature on clustering and the possibility of assemblies that span across thin processes such as filopodia or endocytic invaginations, we will implement methods for Brownian dynamics along curved membranes. We will develop methods to derive the arrangement of spherical sites and linkers from more realistic 3D molecular data, including atomic coordinates. We will develop new optional schemes to better account for the rigidity of molecular structures at this coarse-grained level and, separately, the flexibility of linker domains; the latter will help us represent the influence of intrinsically disordered domains. We will develop statistical and analytical methods to analyze simulation results and build lumped models so as to bridge from this mesoscale to the full cell scale. Finally, we propose to support mechanochemistry by accounting for local force experienced by a site and appropriately altering probabilities for unbinding (i.e. off rates), binding (on-rates) and the tension at membrane surfaces. Ultimately, the SpringSaLaD functionality will be incorporated within the Virtual Cell software system.

本项目拟在中尺度上开发新的无网络空间建模软件- 占据详细的分子动力学和细胞反应扩散之间的利基 系统.具体来说，我们计划解决50 nm- 2µm范围内的空间尺度， 时间尺度在100µs到10 s范围内。可从以下方面受益的系统示例 这种“中尺度”的建模工具是受体信号平台和集群（例如， 免疫突触或突触后密度）、细胞粘附复合物、脂筏、染色质 组织、细胞骨架动力学和核蛋白相。我们的方法建立在 SpringSaLaD软件的基础，该软件使用朗之万动力学形式主义来建模 具有明确排除体积的多分子相互作用。它允许空间模拟 组合复杂的过程，如聚类和聚合。该方法是一种 混合动力学和分子建模，因为它从两者中得出反应的概率 分子的粗糙结构特征和宏观生物化学参数， 开和关速率常数、扩散系数和变构状态转变速率。目前 SpringSaLaD将分子表示为通过线性连接子连接的球形“位点”，建模为 硬弹簧分子可以在矩形体积中扩散和反应，也可以锚定在 膜的平面贴片。我们的具体目标建议大幅扩大 SpringSaLaD通过允许更真实的结构细节表示和扩展 一系列可以模拟的生物物理机制。为了更好地解释 膜曲率对集群和组装的可能性，跨越薄 过程，如丝状伪足或内吞内陷，我们将实现布朗方法 沿沿着弯曲膜的动力学。我们将开发方法来获得的安排 球形网站和链接从更现实的三维分子数据，包括原子坐标。 我们将开发新的可选方案，以更好地说明分子结构的刚性 以及链接器域的灵活性;后者将帮助我们 表示固有无序域的影响。我们将制定统计和 分析方法来分析模拟结果，并建立集总模型，以便从 从中尺度到全细胞尺度。最后，我们建议支持机械化学， 考虑现场所经历的局部力，并适当地改变 解结合（即解离速率）、结合（结合速率）和膜表面的张力。最后， SpringSaLaD功能将被结合在虚拟小区软件系统中。