期刊
出版社
R OLDENBOURG VERLAG
DOI: 10.1524/zpch.2002.216.2.175
关键词
genotype-phenotype map; local connectivity; neutral networks neutral walks; random graphs; RNA secondary structures
Global properties of the genotype-phenotype map induced by RNA secondary structures can be described by random graph theory. The success of this approach depends on details of the respective secondary structure. A small selection of these dependencies, such as stem length, free energy and well-definedness, are analyzed in this paper. In addition, we present an algorithm, which, given a network that complies to a random graph model, provides estimates whether the network is connected or not. The algorithm is linear in time and in the sequence length, local connectivity provided, which is a graph property of the random graph model.
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