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

Methods for evaluating exon-protein correspondences

A Stoltzfus1, D F Spencer, W F Doolittle

  • 1Department of Biochemistry, Dalhousie University, Halifax, Nova Scotia, Canada. arlin@ac.dal.ca

Computer Applications in the Biosciences : CABIOS
|October 1, 1995
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

Rethinking the Origin of Eukaryotes.

The Biological bulletin·2017
Same author

Genes for tRNA(Asp), tRNA (Pro), tRNA (Tyr) and two tRNAs (Ser) in wheat mitochondrial DNA.

Plant molecular biology·2013
Same author

Multiple sequence rearrangements accompanying the duplication of a tRNA(Pro) gene in wheat mitochondrial DNA.

Plant molecular biology·2013
Same author

Eradicating typological thinking in prokaryotic systematics and evolution.

Cold Spring Harbor symposia on quantitative biology·2009
Same author

Integron-associated gene cassettes in Halifax Harbour: assessment of a mobile gene pool in marine sediments.

Environmental microbiology·2008
Same author

Alternative methods for concatenation of core genes indicate a lack of resolution in deep nodes of the prokaryotic phylogeny.

Molecular biology and evolution·2007
Same journal

DCA: an efficient implementation of the divide-and-conquer approach to simultaneous multiple sequence alignment.

Computer applications in the biosciences : CABIOS·1998
Same journal

Two applications to facilitate the viewing of database search result files on the Macintosh.

Computer applications in the biosciences : CABIOS·1998
Same journal

BioWish: a molecular biology command extension to Tcl/Tk.

Computer applications in the biosciences : CABIOS·1998
Same journal

The Sequence Alerting Server--a new WEB server.

Computer applications in the biosciences : CABIOS·1998
Same journal

A software tool for the analysis of mass spectrometric disulfide mapping experiments.

Computer applications in the biosciences : CABIOS·1998
Same journal

SAMBA: hardware accelerator for biological sequence comparison.

Computer applications in the biosciences : CABIOS·1998
See all related articles

The exon theory suggests genes formed from exon assembly. This study develops computational methods to test if exons correlate with discrete protein structures, examining intron effects on these correlations.

Area of Science:

  • Molecular Biology
  • Bioinformatics
  • Genomics

Background:

  • The exon theory of genes posits that protein-coding genes originated from the assembly of smaller gene units, known as exons.
  • This theory implies that exons may correspond to distinct structural or functional units within proteins, a concept initially proposed by C.C.F. Blake.

Purpose of the Study:

  • To evaluate the evidence supporting C.C.F. Blake's conjecture that exons encode discrete protein structures.
  • To develop and detail computational methods for assessing the statistical significance of correlations between gene structure (exons and introns) and protein structure.

Main Methods:

  • Development of novel computer algorithms to measure correspondences between split gene structures and protein structures.
  • Comparison of observed correlations against random expectations to determine statistical significance.

Related Experiment Videos

  • Analysis of the impact of intron deletion and intron displacement (sliding) on the detection of exon-protein structure correlations.

    • Main Results:

    • Detailed description of the algorithms designed for assessing exon-protein structure correlations.
    • Demonstration of the algorithms' effectiveness in identifying correlations using idealized test cases.
    • Examination of how intron dynamics might obscure or reveal these structure-function relationships.

    Conclusions:

    • The study provides a methodological framework for investigating the exon theory of gene evolution.
    • The developed computational tools are effective in detecting correlations between gene and protein structures.
    • Further research is warranted to understand the role of intron dynamics in the evolution of gene and protein structures.