Biological Information Technology Systems - BITS: Hybrid Testbed for Evaluation of Cell-Cell Communication Models in Prokaryotes

生物细胞使用的信息处理策略与用于硅基计算的信息处理策略有着根本的不同，因此对于改进算法、软件和硬件的开发具有很大的希望。然而，我们对遗传网络如何控制生物系统中的信息流的理解需要进一步发展。为此，各种研究项目正在进行中，以开发遗传网络模型；然而，除非直接观察细胞过程和验证模型的工具被开发并集成到模型开发过程中，否则这种努力的成功可能会动摇。拟议的研究计划旨在开发一个混合测试平台，以校准和验证控制原核生物群体感应行为的遗传调控网络模型。该项目对生物信息技术的好处包括：i)开发了一个用于校准和验证遗传调控模型的系统，从而更好地理解细胞内信息流；Ii)改进的硅到电池和硅到电池的信息传递技术；iii)更好地理解细胞间通过化学信号传递的信息。项目目标、方法和影响描述如下。

EIA-0130843 Chris D. Cox University of Tennessee Hybrid Testbed for Evaluation of Cell-Cell Communication Models in Prokaryotes Information processing strategies utilized by biological cells are fundamentally different than those used for silicon-based computing and thereby hold great promise for the development of improved algorithms, software, and hardware. However, our understanding of how genetic networks control information flow in biological systems needs to be further developed. To this end, various research programs are underway to develop models of genetic networks; however, the success of this effort could falter unless tools to directly observe cell processes and validate the models are developed and integrated into the model development process. The proposed research program seeks to develop a hybrid testbed to calibrate and validate models of genetic regulatory networks controlling quorum sensing behavior in prokaryotic organisms. The benefits or [sic] this project to biological information technology include: i) development of a system for calibration and validation of genetic regulatory models leading to a better understanding of intracellular information flow; ii) improved technologies for silicon-to-cell and cell-to-cell silicon information transfer; and iii) a better understanding of information transfer between cells through chemical signaling. Project objectives, methods, and impacts are described below.