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The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
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ASOG: AntiSense Oligonucleotide Generator.

Jonah Kimi1,2, Patricia Korczak1, Brune Vialet1

  • 1Univ. Bordeaux, CNRS, INSERM, ARNA UMR 5320, U1212, F-33000 Bordeaux, France.

Computational and Structural Biotechnology Journal
|October 6, 2025
PubMed
Summary

We developed the AntiSense Oligonucleotide Generator (ASOG), a web application for designing antisense oligonucleotides (ASOs). ASOG streamlines ASO design by predicting properties, masking splice sites, and detecting off-target effects.

Keywords:
Antisense oligonucleotideBLASTnMelting temperature calculationSplice site predictionWebserver

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Area of Science:

  • Molecular Biology
  • Bioinformatics
  • Computational Biology

Background:

  • Antisense oligonucleotides (ASOs) are crucial for modulating gene expression in research and clinics.
  • Manual ASO design is time-consuming, limiting exploration of the ASO design space.
  • Existing automated ASO design tools have limitations, necessitating new approaches.

Purpose of the Study:

  • To introduce a generalistic and original pipeline for automated antisense oligonucleotide (ASO) design.
  • To provide a user-friendly web application, ASOG, for efficient ASO exploration.
  • To facilitate informed decision-making in ASO selection for research and therapeutic applications.

Main Methods:

  • Development of a web application, AntiSense Oligonucleotide Generator (ASOG), integrating explicit criteria, original algorithms, and third-party software.
  • ASOG pipeline accepts a target gene sequence for comprehensive ASO analysis.
  • Prediction of ASO structural properties, splice site masking, off-target effects, and thermodynamic hybridization parameters, including RNA modifications.

Main Results:

  • ASOG enables rapid generation and evaluation of antisense oligonucleotides (ASOs).
  • The pipeline predicts key parameters essential for ASO efficacy and specificity.
  • It accounts for common RNA modifications, enhancing prediction accuracy.

Conclusions:

  • ASOG offers a versatile and efficient solution for navigating the antisense oligonucleotide design space.
  • The webserver empowers researchers to quickly identify optimal ASOs for their applications.
  • ASOG represents a significant advancement in facilitating ASO-based gene modulation strategies.