Novel Approach to Analyzing MFE of Noncoding RNA Sequences:

Genomics Insights

Tina P.George¹ 

关键词: minimum free energy;    digital signal processing;    discrete Fourier transform;    frequency spectrum;    multiple linear regression;   

DOI  :  10.4137/GEI.S39995

学科分类：生物科学（综合）

来源: Sage Journals

【 摘 要 】

Genomic studies have become noncoding RNA (ncRNA) centric after the study of different genomes provided enormous information on ncRNA over the past decades. The function of ncRNA is decided by its secondary structure, and across organisms, the secondary structure is more conserved than the sequence itself. In this study, the optimal secondary structure or the minimum free energy (MFE) structure of ncRNA was found based on the thermodynamic nearest neighbor model. MFE of over 2600 ncRNA sequences was analyzed in view of its signal properties. Mathematical models linking MFE to the signal properties were found for each of the four classes of ncRNA analyzed. MFE values computed with the proposed models were in concordance with those obtained with the standard web servers. A total of 95% of the sequences analyzed had deviation of MFE values within ±15% relative to those obtained from standard web servers.

【 授权许可】

CC BY