Tlusty Tsvi
Department of Physics of Complex Systems, Weizmann Institute of Science, Rehovot 76100, Israel.
Proc Natl Acad Sci U S A. 2008 Jun 17;105(24):8238-43. doi: 10.1073/pnas.0710274105. Epub 2008 Jun 11.
Life relies on the efficient performance of molecular codes, which relate symbols and meanings via error-prone molecular recognition. We describe how optimizing a code to withstand the impact of molecular recognition noise may be understood from the statistics of a two-dimensional network made of polymers. The noisy code is defined by partitioning the space of symbols into regions according to their meanings. The "polymers" are the boundaries between these regions, and their statistics define the cost and the quality of the noisy code. When the parameters that control the cost-quality balance are varied, the polymer network undergoes a transition, where the number of encoded meanings rises discontinuously. Effects of population dynamics on the evolution of molecular codes are discussed.
生命依赖于分子编码的高效运行，这些编码通过容易出错的分子识别来关联符号和意义。我们描述了如何从由聚合物构成的二维网络的统计数据来理解优化编码以抵御分子识别噪声的影响。有噪声的编码是通过根据符号的意义将符号空间划分为不同区域来定义的。“聚合物”是这些区域之间的边界，它们的统计数据定义了有噪声编码的成本和质量。当控制成本 - 质量平衡的参数发生变化时，聚合物网络会经历一个转变，其中编码意义的数量会不连续地增加。文中还讨论了种群动态对分子编码进化的影响。
