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Short CommunicationOpen Access

SRNA (Smart Rapid Nucleotide Analysis) and RMSE (RefSeq Multigene Sequence Extractor) Web Tools for Assessing Nucleotide Composition Volume 63- Issue 4

Shubh R Nahar1,3#, Mostafizur Rahman1#, Syeda Saberin Jahan2,3, Giulianna Rivero4, Valeri Drozhenko3, Walter C Bell5, Kai Ding6, Long Ma1, Bill Zhong1 and Alexander Kofman3,7*

  • 1Department of Computer Science, Troy University, AL, USA
  • 2Jalalabad Ragib-Rabeya Medical College and Hospital, Bangladesh
  • 3The Filatov Institute of Eye Diseases and Tissue Therapy, the National Academy of Medical Sciences, Ukraine
  • 4Department of Biological and Environmental Sciences, Troy University, USA
  • 5Department of Pathology, Heersink School of Medicine, The University of Alabama at Birmingham, AL, USA
  • 6John Hopkins University Medical School, AL, USA
  • 7University of West Alabama, AL, USA
  • #Both authors contributed equally to this work

Received: October 03, 2025; Published: October 16, 2025

*Corresponding author: Alexander Kofman, Human Biology Variations Computational Genomics Research, The Filatov Institute of Eye Diseases and Tissue Therapy, the National Academy of Medical Sciences, Ukraine, University of West Alabama, AL, USA

DOI: 10.26717/BJSTR.2025.63.009915

Abstract PDF

ABSTRACT

We present SRNA and RMSE user-friendly web tools for retrieving and analyzing the nucleotide composition of whole and fragmented nucleic acid sequences.

Keywords: Nucleotide; mRNA; Codon

Abbreviations: mRNA: Messenger RNA; UTR: Untranslated Region

Introduction

The growing number of reports indicates that codon usage bias and nucleotide composition are crucial regulatory factors that influence gene expression at various levels. These factors can affect the concentration of nuclear mRNA [1] and its stability [2,3], alter the expression of heterologous genes in bacteria, plants, yeast, mammalian cells, and transgenic animals [4], and impact the formation of Z-DNA and Z-RNA, among other effects [5,6].

SRNA 1.0 (SRNA · Streamlit) and RMSE 1.0 (NCBI RefSeq Multi- Gene Extractor · Streamlit) are user-friendly web tools that enable the retrieval of nucleotide sequences and calculation of their nucleotide composition, including G-C%, A-T%, and Z-DNA propensity by batch analysis (up to 1000 sequences). Furthermore, to assess the variations in nucleotide composition across different parts of the gene, the SRNA tool can split the original sequence into fragments of 50, 100, 200, and 400 bases.

References

  1. Qian W, Zhang J (2021) Codon usage bias and nuclear mRNA concentration: Correlation vs. causation. Proc Natl Acad Sci U S A 118.
  2. Hanson G, Coller J (2018) Codon optimality, bias and usage in translation and mRNA decay. Nat Rev Mol Cell Biol 19(1): 20-30.
  3. Mishima Y, Tomari Y (2016) Codon Usage and 3' UTR Length Determine Maternal mRNA Stability in Zebrafish. Mol Cell 61: 874-885.
  4. Kofman A, Graf M, Bojak A, Deml L, Bieler K, et al. (2003) HIV-1 gag expression is quantitatively dependent on the ratio of native and optimized codons. Tsitologiia 45(1): 86-93.
  5. Wang AH, Hakoshima T, van der Marel G, van Boom JH, Rich A (1984) AT base pairs are less stable than GC base pairs in Z-DNA: the crystal structure of d(m5CGTAm5CG). Cell 37: 321-331.
  6. Hall K, Cruz P, Tinoco I, Jovin TM, van de Sande JH (1984) 'Z-RNA'--a left-handed RNA double helix. Nature 311: 584-586.