Abstract
In this chapter we study the structure of neutral networks as induced subgraphs of sequence space . Since exhaustive computation of sequence to structure maps using folding algorithms is at present time only feasible for sequences of length \({<}40\), we will study the structure of neutral networks using the language of random graphs . For data on sequence to structure maps into RNA secondary structures, obtained by computer folding algorithms, see [55, 56]. In [71] data on sequence to structure maps into RNA pseudoknot structures based on cross are being presented. The above papers allow to contrast the random graph model with biophysical folding maps. Our presentation is based on the papers [105, 102, 103, 106].
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Reidys, C. (2011). Neutral networks. In: Combinatorial Computational Biology of RNA. Springer, New York, NY. https://doi.org/10.1007/978-0-387-76731-4_7
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DOI: https://doi.org/10.1007/978-0-387-76731-4_7
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