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

An algorithm to determine protein sequence alignment by utilizing data obtained from a peptide mixture and individual

C Caporale1, C Sepe, C Caruso

  • 1Dipartimento di Agrobiologia ed Agrochimica, Università della Tuscia, Viterbo, Italy.

Computer Applications in the Biosciences : CABIOS
|September 1, 1994
PubMed
Summary

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

Clinical evaluation of corneal elasticity and true IOP using a dual-applanation tonometer.

Frontiers in ophthalmology·2026
Same author

Living with chronic rhinosinusitis with nasal polyposis (CRSwNP): an experience to amplify Italian patients' voices.

Journal of patient-reported outcomes·2026
Same author

Eosinophilic ascites and eosinophilic gastrointestinal diseases.

European annals of allergy and clinical immunology·2025
Same author

Reply to Correspondence: The Bronchodilator and Anti-Inflammatory Effect of Long-Acting Muscarinic Antagonists in Asthma: An EAACI Position Paper.

Allergy·2025
Same author

The Bronchodilator and Anti-Inflammatory Effect of Long-Acting Muscarinic Antagonists in Asthma: An EAACI Position Paper.

Allergy·2024
Same author

Immunoglobulin free light chains in severe asthma patient: Could they be a new biomarker?

Allergy·2024

This study presents a novel algorithm for protein sequence alignment, simplifying peptide purification and confirming sequences. It uses data from automatic Edman degradation on peptide mixtures and individual peptides for accurate alignment.

Area of Science:

  • Biochemistry
  • Proteomics
  • Bioinformatics

Background:

  • Automated Edman degradation is crucial for protein sequencing.
  • Purifying individual peptides can be time-consuming and complex.
  • Accurate sequence alignment is essential for understanding protein function.

Purpose of the Study:

  • To design and implement a computational algorithm for protein sequence alignment.
  • To reduce the number of peptide purification steps required.
  • To unambiguously ascertain protein sequences using novel methods.

Main Methods:

  • Developed a personal computer algorithm for sequence alignment.
  • Utilized data from automatic Edman degradation on single peptide mixtures and individual peptides.
  • Employed two different hydrolysis methods for protein digestion and analyzed fragments from one mixture while sequencing the second unfractionated mixture.

Related Experiment Videos

Main Results:

  • The algorithm successfully determined sequence alignment by using mixture data for peptide overlap.
  • Demonstrated the approach's efficacy using experimental data from a known protein sequence.
  • Enabled unambiguous protein sequence determination with fewer purification steps.

Conclusions:

  • The developed algorithm offers an efficient method for protein sequence alignment and verification.
  • This approach significantly simplifies the process of protein sequencing.
  • Provides a valuable tool for proteomic research and analysis.