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The translational termination signal database

C M Brown1, M E Dalphin, P A Stockwell

  • 1Department of Biochemistry, University of Otago, Dunedin, New Zealand.

Nucleic Acids Research
|July 1, 1993
PubMed
Summary
This summary is machine-generated.

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The Translational Termination Database (TransTerm) provides context sequences for natural termination codons across 45 organisms. This resource aids in understanding how sequence context influences stop signal effectiveness in translation.

Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • Termination codons are crucial for protein synthesis, and their surrounding sequence context influences their efficiency.
  • Understanding stop codon usage and context is vital for gene expression regulation.

Purpose of the Study:

  • To compile and present the Translational Termination Database (TransTerm).
  • To provide immediate context sequences surrounding natural termination codons from 45 organisms.
  • To facilitate the study of termination codon context's influence on stop signal effectiveness.

Main Methods:

  • Database compilation of immediate context sequences around natural termination codons.
  • Inclusion of summary tables detailing trinucleotide and tetranucleotide stop codon usage.

Related Experiment Videos

  • Comparison of stop codon sequence occurrence in coding and noncoding regions.

    • Main Results:

    • The TransTerm database contains context sequences for termination codons from 45 diverse organisms.
    • Summary tables (SPECIES--TRI.DAT and SPECIES--TETRA.DAT) offer insights into stop codon usage patterns.
    • Data allows for comparison of stop signal sequences in different genomic contexts.

    Conclusions:

    • The TransTerm database serves as a valuable resource for investigating the role of sequence context in translational termination.
    • The provided data supports the documented influence of termination codon context on stop signal efficiency.
    • Further research can leverage TransTerm to explore mechanisms of translational control and gene expression.