A Mini-review of Computational Approaches to Predict Functions and Findings of Novel Micro Peptides

Title:A Mini-review of Computational Approaches to Predict Functions and Findings of Novel Micro Peptides

Volume: 15 Issue: 9

Author(s): Mohsin Ali Nasir, Samia Nawaz and Jian Huang*

Affiliation:

• Center for Informational Biology, University of Electronic Science and Technology of China, No. 2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu 611731,China

Keywords: sORFs, Micro peptides, SEPs, computational, genome, conservation.

Abstract:

New techniques in bioinformatics and the study of the transcriptome at a wide-scale have uncovered the fact that a large part of the genome is being translated than recently perceived thoughts and research, bringing about the creation of a various quantity of RNA with proteincoding and noncoding potential. A lot of RNA particles have been considered as noncoding due to many reasons, according to developing proofs. Like many sORFs that encode many functional micro peptides have neglected due to their tiny sizes.

Advanced studies reveal many major biological functions of these sORFs and their encoded micro peptides in a different and wide range of species. All the achievement in the identification of these sORFs and micro peptides is due to the progressive bioinformatics and high-throughput sequencing methods. This field has pulled in more consideration due to the detection of a large number of more sORFs and micro peptides. Nowadays, COVID-19 grabs all the attention of science as it is a sudden outbreak. sORFs of COVID-19 should be revealed for new ways to understand this virus. This review discusses ongoing progress in the systems for the identification and distinguishing proof of sORFs and micro peptides.

Cite this article as:

Nasir Ali Mohsin , Nawaz Samia and Huang Jian *, A Mini-review of Computational Approaches to Predict Functions and Findings of Novel Micro Peptides, Current Bioinformatics 2020; 15 (9) . https://dx.doi.org/10.2174/1574893615999200811130522