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

Searching for common sequence patterns among distantly related proteins

M Suyama1, T Nishioka, J Oda

  • 1Institute for Chemical Research, Kyoto University, Uji-city, Japan.

Protein Engineering
|November 1, 1995
PubMed
Summary

A new program, Gap Allowing Pattern Explorer (GAPE), identifies conserved amino acid sequence motifs in proteins, even with gaps. This tool aids in discovering functionally important residues involved in ligand recognition.

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

Longitudinal whole blood transcriptome analysis of a septic shock patient with secondary hemophagocytic syndrome.

QJM : monthly journal of the Association of Physicians·2024
Same author

A case of breast milk-acquired cytomegalovirus infection in an extremely low birth weight infant.

Journal of neonatal-perinatal medicine·2023
Same author

Precise analysis of the timing performance of Cherenkov-radiator-integrated MCP-PMTs: analytical deconvolution of MCP direct interactions.

Physics in medicine and biology·2020
Same author

Visualization of Lenticulostriate Arteries on CT Angiography Using Ultra-High-Resolution CT Compared with Conventional-Detector CT.

AJNR. American journal of neuroradiology·2019
Same author

Coincidence time resolution of 30 ps FWHM using a pair of Cherenkov-radiator-integrated MCP-PMTs.

Physics in medicine and biology·2019
Same author

Intraoperative rupture in the surgical treatment of patients with intracranial aneurysms.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia·2016

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Protein Sequence Analysis

Background:

  • Identifying conserved amino acid motifs is crucial for understanding protein function and evolution.
  • Existing methods often struggle with sequence variations and gaps, limiting motif discovery.
  • Distantly related proteins may share functional motifs despite significant sequence divergence.

Purpose of the Study:

  • To develop a novel computational tool, Gap Allowing Pattern Explorer (GAPE), for extracting conserved amino acid sequence motifs.
  • To enable motif discovery in protein sequences that contain gaps or insertions.
  • To identify functionally significant residues involved in ligand recognition.

Main Methods:

  • The GAPE program generates all possible amino acid patterns up to five residues.

Related Experiment Videos

  • It selects subsequences matching patterns, ignoring distances between residues.
  • Motifs are extracted by fixing distances between residues, with options to relax constraints for gap identification.
  • Main Results:

    • GAPE successfully identified conserved motifs in pyridoxal-phosphate and ATP-related protein sequences.
    • Extracted motifs with low occurrence expectation contained amino acid residues critical for ligand binding.
    • The program effectively handles sequence gaps, expanding motif discovery capabilities.

    Conclusions:

    • The Gap Allowing Pattern Explorer (GAPE) is an effective tool for identifying conserved protein motifs, including those with gaps.
    • The identified motifs highlight key residues involved in protein-ligand interactions.
    • GAPE enhances the ability to study evolutionary relationships and functional sites in diverse protein families.