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

Peptide identification using peptide amino acid attribute vectors.

Brian D Halligan1, Edward A Dratz, Xin Feng

  • 1Bioinformatics Research Center, Medical College of Wisconsin, Milwaukee, Wisconsin 53213, USA. halligan@mcw.edu

Journal of Proteome Research
|September 14, 2004
PubMed
Summary

Peptide identification is faster and more accurate using amino acid composition vectors. This method clusters peptides, enabling rapid identification by finding the closest matches in a database, outperforming traditional mass-based approaches.

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

Chromatin interaction maps of human arterioles reveal mechanisms for the genetic regulation of blood pressure.

Nature communications·2025
Same author

Physiological role and mechanisms of action for a long noncoding haplotype region.

Cell reports·2025
Same author

Breast cancer risk assessment based on a predictive model: evaluation of risk factors among Japanese women.

BMC cancer·2025
Same author

Chromatin State Maps of Blood Pressure-Relevant Renal Segments Reveal Potential Regulatory Role for SNPs.

Hypertension (Dallas, Tex. : 1979)·2024
Same author

Chromatin interaction maps of human arterioles reveal new mechanisms for the genetic regulation of blood pressure.

bioRxiv : the preprint server for biology·2024
Same author

Physiological role and mechanisms of action for a long noncoding haplotype region.

bioRxiv : the preprint server for biology·2024

Area of Science:

  • Biochemistry
  • Bioinformatics
  • Computational Biology

Background:

  • Accurate peptide identification is crucial for proteomics and drug discovery.
  • Current methods often rely on peptide sequence or mass, which can have limitations.

Purpose of the Study:

  • To introduce a novel peptide identification method based on amino acid composition.
  • To demonstrate the theoretical basis and practical application of vector-based peptide clustering.

Main Methods:

  • Representing peptides as vectors derived from their amino acid composition.
  • Clustering these vectors to group similar peptides.
  • Identifying unknown peptides by calculating Euclidean distance to database entries.

Main Results:

Related Experiment Videos

  • Amino acid composition provides nearly as much information as peptide sequence for identification.
  • The vector-based clustering method allows for rapid peptide identification.
  • This approach is more accurate than using peptide mass alone.

Conclusions:

  • Peptide identification can be significantly enhanced using amino acid composition and vector clustering.
  • This method offers a computationally efficient and accurate alternative for peptide analysis.
  • The findings have implications for large-scale proteomic studies and biomarker discovery.