Poetic RNA: Adapting RNA design methods to the analysis of poetry

Abstract

The style in which a Ribonucleic Acid (RNA) molecule folds in space obeys laws of nucleotide binding and attraction which are encoded in its primary structure, that is, in the sequence of nucleotides conforming it. Natural language sentences can also be viewed as encodings for a structure in space-a parse tree-which exhibits relationships or bindings between its parts. We explore the possibilities in adapting a recent and simple methodology for bioinformatics-which has been successfully used for RNA design-to the problem of parsing poems that follow specific stylistic trends. The methodology introduced in this paper can be expressed in terms of a multi-agent system that includes two types of agents: linguistic agents and probabilistic agents.