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DiSCUS: A Simulation Platform for Conjugation Computing

机译:DISCUS:用于共轭计算的仿真平台

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摘要

In bacterial populations, cells are able to cooperate in order to yield complex collective functionalities. Interest in population-level cellular behaviour is increasing, due to both our expanding knowledge of the underlying biological principles, and the growing range of possible applications for engineered microbial consortia. The ability of cells to interact through small signalling molecules (a mechanism known as quorum sensing) is the basis for the majority of existing engineered systems. However, horizontal gene transfer (or conjugation) offers the possibility of cells exchanging messages (using DNA) that are much more information-rich. The potential of engineering this conjugation mechanism to suit specific goals will guide future developments in this area. Motivated by a lack of computational models for examining the specific dynamics of conjugation, we present a simulation framework for its further study. (This paper was first presented at the Spatial Computing Workshop of the 13th International Conference on Autonomous Agents and Multi-agent Systems (AAMAS), Paris, France, May 5-9 2014. There were no published proceedings).
机译:在细菌群体中,细胞能够合作以产生复杂的集体功能。由于我们对潜在的生物学原理的扩大了解以及工程微生物联盟的越来越多的可能应用,因此对人口级蜂窝行为的兴趣正在增加。细胞通过小信号分子交互的能力(称为仲裁传感的机制)是大多数现有工程系统的基础。然而,水平基因转移(或缀合)提供细胞交换消息(使用DNA)的可能性,这些信息丰富的信息。工程的潜力这种共轭机制适合特定目标将指导该领域的未来发展。由于缺乏用于检查缀合特定动态的计算模型,我们为其进一步研究提供了一种模拟框架。 (本文首先介绍了第13届自治工人和多助理系统(AAMAS),法国,法国,2014年5月5日至9日的空间计算研讨会。没有公布的诉讼程序)。

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