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ATGme: Open-source web application for rare codon identification and custom DNA sequence optimization.

Edward Daniel1, Goodluck U Onwukwe2, Rik K Wierenga3

  • 1Biocenter Oulu, Faculty of Biochemistry and Molecular Medicine, Structural Biochemistry, University of Oulu, Oulu, Finland. edward.daniel@oulu.fi.

BMC Bioinformatics
|September 23, 2015
PubMed
Summary
This summary is machine-generated.

Identifying and optimizing rare codons is essential for efficient recombinant protein expression. The ATGme web application helps researchers by detecting rare codons and offering multiple strategies for sequence optimization in various organisms.

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Area of Science:

  • Molecular Biology
  • Bioinformatics
  • Synthetic Biology

Background:

  • Codon usage significantly impacts recombinant protein expression efficiency across different organisms.
  • Discrepancies in codon frequency between the source and host organisms, such as expressing human genes in E. coli, necessitate sequence optimization.
  • Identifying and modifying rare codons to match host organism preferences is crucial for enhancing protein production.

Purpose of the Study:

  • To introduce ATGme, an open-source, web-based application for analyzing and optimizing DNA sequences.
  • To facilitate the identification of rare and highly rare codons in sequences from diverse organisms.
  • To provide tools for improving gene expression by modifying codon usage.

Main Methods:

  • Development of a web-based application accessible via a URL.
  • Implementation of algorithms to detect codons that are rare or highly rare within a given organism's codon usage table.
  • Integration of sequence optimization functionalities.

Main Results:

  • The ATGme application successfully identifies rare and highly rare codons across most organisms.
  • Users can optimize their DNA sequences using the application's features.
  • The tool supports various optimization approaches, including one-click, bulk, and custom codon-by-codon modifications.

Conclusions:

  • ATGme offers a user-friendly interface for codon usage optimization.
  • The application supports three distinct optimization strategies to cater to different user needs.
  • ATGme is freely available as an open-source tool at http://atgme.org, promoting accessibility in biological research.