Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

A computer algorithm for testing potential prokaryotic terminators.

V Brendel, E N Trifonov

    Nucleic Acids Research
    |May 25, 1984
    PubMed
    Summary
    This summary is machine-generated.

    Related Concept Videos

    You might also read

    Related Articles

    Articles linked to this work by shared authors, journal, and citation graph.

    Sort by
    Same author

    One common structural feature of "words" in protein sequences and human texts.

    Journal of biomolecular structure & dynamics·2013
    Same author

    Towards functional repertoire of the earliest proteins.

    Journal of biomolecular structure & dynamics·2012
    Same author

    Nucleosome positioning pattern derived from oligonucleotide compositions of genomic sequences.

    Journal of biomolecular structure & dynamics·2010
    Same author

    Single-base resolution nucleosome mapping on DNA sequences.

    Journal of biomolecular structure & dynamics·2010
    Same author

    Nucleosome DNA bendability matrix (C. elegans).

    Journal of biomolecular structure & dynamics·2008
    Same author

    Sequence structure of hidden 10.4-base repeat in the nucleosomes of C. elegans.

    Journal of biomolecular structure & dynamics·2008
    Same journal

    Correction to 'New origin firing is inhibited by APC/CCdh1 activation in S-phase after severe replication stress'.

    Nucleic acids research·2026
    Same journal

    VeloRM: disentangling pre- and post-splicing RNA modification dynamics at single-cell resolution.

    Nucleic acids research·2026
    Same journal

    Accessibility of telomeric overhangs to stabilizing small-molecule ligands.

    Nucleic acids research·2026
    Same journal

    Multivalent interactions mediate SNAIL transcription factor stimulation of the nucleosome deacetylase activity of the CoREST complex.

    Nucleic acids research·2026
    Same journal

    Genome-wide mapping of DNA G-quadruplexes in Trypanosoma brucei chromatin reveals enrichment in coding regions and transcription start sites.

    Nucleic acids research·2026
    Same journal

    Correction to 'The Gene Ontology knowledgebase in 2026'.

    Nucleic acids research·2026
    See all related articles

    Researchers analyzed E. coli transcription terminators, finding common features like thymine stretches and dyad symmetry, but also exceptions. A new algorithm accurately identifies these crucial DNA sequences.

    Area of Science:

    • Molecular Biology
    • Genetics
    • Bioinformatics

    Background:

    • Factor-independent transcription termination is crucial for gene regulation in bacteria.
    • Standard terminator models in E. coli involve thymine-rich regions and dyad symmetry.
    • Existing models do not fully capture the diversity of terminator sequences.

    Purpose of the Study:

    • To analyze nucleotide sequences of E. coli factor-independent terminators.
    • To identify conserved sequence elements beyond standard features.
    • To develop and test an algorithm for locating terminators in DNA sequences.

    Main Methods:

    • Compilation and sequence analysis of 30 E. coli factor-independent terminators.
    • Identification of conserved pentanucleotides (CGGG) and downstream elements (TCTG-box).

    Related Experiment Videos

  • Development of a dinucleotide distribution-based algorithm for terminator prediction.

    • Main Results:

    • Most terminators share thymine stretches and dyad symmetry, but exceptions exist.
    • Conserved CGGG motif found in two-thirds of terminators; TCTG-box in one-third.
    • The developed algorithm accurately identifies known terminators in large DNA datasets.

    Conclusions:

    • Standard terminator features are insufficient for complete characterization.
    • Specific sequence motifs like CGGG and TCTG-box play significant roles.
    • The new algorithm offers a robust tool for identifying transcription terminators in E. coli.