Sk. Sarif Hassana
MicroRNAs (miRNAs), which are on an average only 21-25 nucleotides long, are key post-transcriptional regulators of gene expression in prokaryotes, metazoans and plants. A proper quantitative understanding of miRNA is required to comprehend their structures, functions, evolutions etc. In this paper, the nucleotide strings of miRNAs of three organisms namely Homo sapiens (hsa), Pan troglodytes (ptr) and Macacamulatta (mml) have been quantified and classified based on some characterizing features. A network has been built up among the miRNAs for these three organisms through a class of discrete transformations namely Integral Value Transformations (IVTs). Through this study, we have been able to nullify or justify one given nucleotide string as a miRNA. This study will help us to recognize a given nucleotide string as a probable miRNA, without the requirement of any conventional biological experiment. This method can be amalgamated with the existing analysis pipelines, for small RNA sequencing data (designed for finding novel miRNA). This method would provide more confidence and would make the current analysis pipeline more efficient in predicting the probable candidates of miRNA for biological validation and filter out the improbable candidates.
Published Date: 2021-03-22; Received Date: 2021-03-01