A simple model for the evolution of molecular codes driven by the interplay of accuracy, diversity and cost

Biology – Quantitative Biology – Quantitative Methods

Scientific paper

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Keywords: molecular codes, rate-distortion theory, biological information channels, stochastic maps, genetic code, genetic net

Scientific paper

10.1088/1478-3975/5/1/016001

Molecular codes translate information written in one type of molecules into another molecular language. We introduce a simple model that treats molecular codes as noisy information channels. An optimal code is a channel that conveys information accurately and efficiently while keeping down the impact of errors. The equipoise of the three conflicting needs, for minimal error-load, minimal cost of resources and maximal diversity of vocabulary, defines the fitness of the code. The model suggests a mechanism for the emergence of a code when evolution varies the parameters that control this equipoise and the mapping between the two molecular languages becomes non-random. This mechanism is demonstrated by a simple toy model that is formally equivalent to a mean-field Ising magnet.

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