Biology & Information Technology Systems: Genomic Information Processing by a Virus-Host System

EIA-0130874 -John Yin -威斯康星州大学-病毒宿主系统的基因组信息处理拟议的研究旨在通过为实验良好表征的系统提供对基因组信息处理机制和动态的见解来推进生物启发计算。 该研究系统将是噬菌体T7在大肠杆菌中生长的计算机模拟，这是一种模型病毒宿主系统，集成了遗传，生理，生化和生物物理实验室数据，跨越30多年。 该研究的总体目标将是识别和表征病毒模拟细胞内生长过程中集成信息处理的模块化特征。 更具体地说，这项工作将需要定义不同的主机资源环境下的系统性能的措施，量化的敏感性，这种性能的遗传编码的功能之间的成对和高阶相互作用的扰动，并从这些研究中提取的互动模式，反映模块化功能的生物信息处理。

EIA-0130874 -John Yin -University of Wisconsin -Genomic Information Processing by a Virus-Host SystemThe proposed research aims to advance biologically inspired computing by providing insights into the mechanisms and dynamic of genomic information processing for an experimentally well-characterized system. The system of study will be a computer simulation for the growth of bacteriophage T7 in Escherichia coli, a model virus-host system that integrates genetic, physiological, biochemical, and biophysical laboratory data spanning more than 30 years. The overarching aim of the study will be to identify and characterize modular features of integrated information processing during the simulated intracellular growth of the virus. More specifically, the work will entail defining measures of system performance under different host resource environments, quantifying the sensitivity of this performance to perturbations of pair-wise and higher order interactions between genetically-encoded functions, and extracting from these studies patterns of interaction that reflect modular features of biological information processing.