CAREER: Simulating Self-Assembly at Cellular Scales

0346981 PI：SchwartzCAREER奖卡内基梅隆大学获得了一项拨款，用于开发中小型蜂窝系统的生物建模和模拟的计算方法。该项目将开发在中小型规模上模拟自组装系统的方法。自组装系统是在适当的条件下自发组装成更大结构的分子亚单位的集合，对许多细胞过程至关重要。因此，它们在小尺度上行为的准确模型对于模拟细胞功能和可靠地预测细胞对各种干预的反应是至关重要的。该项目将主要通过开发小系统离散事件模型的算法和理论来实现这一研究目标，以补充主流的大系统微分方程模型。作为该项目的一个组成部分，计算生物学的教学方法将被开发并用于CMU的课程和普通生物学家的计算生物学教学。该项目旨在通过将创新和高级研究与不同学生的教育充分结合起来，推动计算生物学领域的发展。

ABSTRACTDBI-BDI: 0346981 PI: SchwartzCAREER AwardCarnegie Mellon University has been awarded a grant to develop computational methods for biological modeling and simulation in small to medium size cellular systems. The project will develop methods for simulating self-assembly systems on small to medium scales. Self-assembly systems, collections of molecular subunits that spontaneously assemble into larger structures under appropriate conditions, are crucial to many cellular processes. Accurate models of their behavior on small scales are therefore essential to modeling cell function and reliably predicting cellular responses to various interventions. The project will accomplish this research goal primarily by developing algorithms and theory for small-system discrete-event models to complement prevailing large-system differential equation models. As an integral part of the project methodologies for teaching computional biology will be developed and used in the curriculum at CMU and in teaching computional biology to general biologists. The project is aimed at advancing the field of computional biology through the full integration of innovative and advanced research with the education of a diverse array of students.