Selected article for: "complete database and error rate"

Author: Wu, Tzong-Yuan; Hsieh, Chi-Chun; Hong, Jun-Jie; Chen, Chung-Yung; Tsai, Yuh-Show
Title: IRSS: a web-based tool for automatic layout and analysis of IRES secondary structure prediction and searching system in silico
  • Cord-id: wt0lvhfl
  • Document date: 2009_5_27
  • ID: wt0lvhfl
    Snippet: BACKGROUND: Internal ribosomal entry sites (IRESs) provide alternative, cap-independent translation initiation sites in eukaryotic cells. IRES elements are important factors in viral genomes and are also useful tools for bi-cistronic expression vectors. Most existing RNA structure prediction programs are unable to deal with IRES elements. RESULTS: We designed an IRES search system, named IRSS, to obtain better results for IRES prediction. RNA secondary structure prediction and comparison softwar
    Document: BACKGROUND: Internal ribosomal entry sites (IRESs) provide alternative, cap-independent translation initiation sites in eukaryotic cells. IRES elements are important factors in viral genomes and are also useful tools for bi-cistronic expression vectors. Most existing RNA structure prediction programs are unable to deal with IRES elements. RESULTS: We designed an IRES search system, named IRSS, to obtain better results for IRES prediction. RNA secondary structure prediction and comparison software programs were implemented to construct our two-stage strategy for the IRSS. Two software programs formed the backbone of IRSS: the RNAL fold program, used to predict local RNA secondary structures by minimum free energy method; and the RNA Align program, used to compare predicted structures. After complete viral genome database search, the IRSS have low error rate and up to 72.3% sensitivity in appropriated parameters. CONCLUSION: IRSS is freely available at this website . In addition, all source codes, precompiled binaries, examples and documentations are downloadable for local execution. This new search approach for IRES elements will provide a useful research tool on IRES related studies.

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