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 identifying proteins by using partial sequences.

M O Dayhoff, B C Orcutt

    Proceedings of the National Academy of Sciences of the United States of America
    |May 1, 1979
    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

    PIR: a new resource for bioinformatics.

    Bioinformatics (Oxford, England)·2000
    Same author

    Protein Information Resource: a community resource for expert annotation of protein data.

    Nucleic acids research·2000
    Same author

    The protein information resource (PIR).

    Nucleic acids research·1999
    Same author

    PIR-ALN: a database of protein sequence alignments.

    Bioinformatics (Oxford, England)·1999
    Same author

    The PIR-International Protein Sequence Database.

    Nucleic acids research·1998
    Same author

    Database of protein sequence alignments: PIR-ALN.

    Nucleic acids research·1998
    Same journal

    Chemotactic self-organization captures the dynamics of mammalian hair follicle patterning.

    Proceedings of the National Academy of Sciences of the United States of America·2026
    Same journal

    Tomographic imaging of superconducting order using particle-hole interference.

    Proceedings of the National Academy of Sciences of the United States of America·2026
    Same journal

    Inhibitory potential of autologous neutralizing antibodies sets quantitative limits on the rebound-competent HIV-1 reservoir.

    Proceedings of the National Academy of Sciences of the United States of America·2026
    Same journal

    Inferring epidemiological parameters under an infectious phylogeography model with visitor dynamics.

    Proceedings of the National Academy of Sciences of the United States of America·2026
    Same journal

    Analytical modeling for suction cup designs for skin-interfaced wearable devices.

    Proceedings of the National Academy of Sciences of the United States of America·2026
    Same journal

    Improving cell-free metabolism through direct integration of artificial respiratory chains.

    Proceedings of the National Academy of Sciences of the United States of America·2026
    See all related articles

    Identifying protein segments is now easier with radiolabeled amino acids and microsequencing. A new strategy uses multiple labels to uniquely characterize human protein segments with high accuracy from a single tissue incubation.

    Area of Science:

    • Biochemistry
    • Proteomics
    • Molecular Biology

    Background:

    • Protein identification is crucial for understanding biological functions.
    • Current methods may require extensive sequence data.
    • Microsequencing offers sensitive analysis of limited protein samples.

    Purpose of the Study:

    • To develop a novel strategy for identifying protein segments using partial sequence information.
    • To enhance the efficiency and accuracy of protein identification from limited samples.
    • To enable the characterization of unknown protein segments through radiolabeling patterns.

    Main Methods:

    • Utilizing microsequencing to obtain partial protein sequences from radiolabeled amino acid incubations.
    • Developing a probabilistic model to predict the uniqueness of sequence matches based on radioactivity patterns.

    Related Experiment Videos

  • Implementing a strategy with multiple distinct radiolabels to maximize information content.

    • Main Results:

    • A strategy labeling 36% of residues provides a 98% success rate for unique human protein segment identification.
    • The method allows for confident protein identification with as few as seven known amino acid residues.
    • Optimal information is gained when labeled and unlabeled residues are distributed evenly.

    Conclusions:

    • This novel approach significantly improves protein identification efficiency and accuracy.
    • The strategy enables the characterization of most proteins from a single tissue incubation.
    • This method accelerates the acquisition of data on protein expression and function.