English

Neutral Networks of Sequence to Shape Maps

Quantitative Methods 2009-09-29 v2 Mathematical Physics Combinatorics math.MP Biomolecules

Abstract

In this paper we present a novel framework for sequence to shape maps. These combinatorial maps realize exponentially many shapes, and have preimages which contain extended connected subgraphs of diameter n (neutral networks). We prove that all basic properties of RNA folding maps also hold for combinatorial maps. Our construction is as follows: suppose we are given a graph HH over the {1>...,n}\{1 >...,n\} and an alphabet of nucleotides together with a symmetric relation R\mathcal{R}, implied by base pairing rules. Then the shape of a sequence of length n is the maximal H subgraph in which all pairs of nucleotides incident to H-edges satisfy R\mathcal{R}. Our main result is to prove the existence of at least 2n1\sqrt{2}^{n-1} shapes with extended neutral networks, i.e. shapes that have a preimage with diameter nn and a connected component of size at least (1+52)n+(152)n(\frac{1+\sqrt{5}}{2})^n+(\frac{1-\sqrt{5}}{2})^n. Furthermore, we show that there exists a certain subset of shapes which carries a natural graph structure. In this graph any two shapes are connected by a path of shapes with respective neutral networks of distance one. We finally discuss our results and provide a comparison with RNA folding maps.

Keywords

Cite

@article{arxiv.0706.0760,
  title  = {Neutral Networks of Sequence to Shape Maps},
  author = {Emma Y. Jin and Jing Qin and Christian M. Reidys},
  journal= {arXiv preprint arXiv:0706.0760},
  year   = {2009}
}
R2 v1 2026-06-21T08:35:34.737Z