Fuzzy Code on Rna Secondary Structure

Abstract

In this paper, we developed a fuzzy code technique for molecular phylogenetic analysis. This proposed theory has potential to encode or decode information related to the evolution of sequences traversing from one stage to another in phylogenetic trees. Using this novel methodology we have encoded the sequence of RNA molecule of each species in phylogenetic trees which folds into three-dimensional structure due to transcription, termed as secondary structure.After encoding RNA sequence into the fuzzy code, we wrote mathematical formulation of RNA secondary structure. In addition we establish relation between RNA sequence and their secondary structure. We constructed the fuzzy neural network, fraction of neural neighbour in sequence space for differentiating compatible sequences. We have used technique involution metric, symmetric group, symmetric difference, etc; to establish a difference in secondary structures.