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

Protein function prediction using the Protein Link EXplorer (PLEX).

Shailesh V Date1, Edward M Marcotte

  • 1Center for Systems and Synthetic Biology, Institute for Cellular and Molecular Biology, 1 University Station, A4800, Austin, TX 78712-1064, USA.

Bioinformatics (Oxford, England)
|February 11, 2005
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

Agnostic material classification using differential de Bruijn graphs of DNA imprints.

bioRxiv : the preprint server for biology·2026
Same author

Identifying membrane-bound transcriptional regulatory proteins from rare but evolutionarily conserved domain combinations.

Nucleic acids research·2026
Same author

A cross-vertebrate brain protein interaction map identifies conserved neural and non-neural complexes.

Cell reports·2026
Same author

A protein interactome for the last eukaryotic common ancestor illuminates the biochemical basis of modern genetic diseases.

Cell genomics·2026
Same author

Comparative proteomic profiling of receptor kinase signaling reveals key trafficking components enforcing plant stomatal development.

Science advances·2026
Same author

Validation and analysis of 12,000 AI-driven CAR-T designs in the <i>Bits to Binders</i> competitions.

bioRxiv : the preprint server for biology·2026
Same journal

Cross-Domain Transfer Learning from Peptides to Metabolites Using a Multi-Property Fine-Tuned LLM.

Bioinformatics (Oxford, England)·2026
Same journal

Biomedical Concept Recognition with Error-aware Negative-enhanced Ranking Framework.

Bioinformatics (Oxford, England)·2026
Same journal

TEDLH: Domain HMMs for sensitive detection of remote homologues.

Bioinformatics (Oxford, England)·2026
Same journal

PLNFGL: Joint Estimation of Multi-Condition Gene Networks from Single-cell RNA-seq Data.

Bioinformatics (Oxford, England)·2026
Same journal

MCFST: Spatial domain identification method based on multi-view graph convolutional network and graph fusion network.

Bioinformatics (Oxford, England)·2026
Same journal

SpaBiT: Enhancing Spatial Transcriptomics Resolution via Bidirectional Attention Transformers.

Bioinformatics (Oxford, England)·2026
See all related articles

The Protein Link EXplorer (PLEX) tool helps identify functionally linked genes and predict protein function by comparing phylogenetic profiles across many genomes. This aids in reconstructing cellular systems and pathways.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • The Protein Link EXplorer (PLEX) is a web-based environment for analyzing protein function.
  • It facilitates the comparison of phylogenetic profiles for gene linkage analysis.

Purpose of the Study:

  • To introduce PLEX as a tool for identifying functionally linked genes.
  • To enable interactive prediction of protein function using comparative genomics.

Main Methods:

  • Construction and comparison of phylogenetic profiles for amino acid sequences.
  • Utilizing a database of ~350,000 predicted genes from 89 genomes.
  • Employing iterative searches, including chromosomal gene neighbors and Rosetta Stone linkages.

Main Results:

Related Experiment Videos

  • PLEX allows interactive identification of functionally linked genes.
  • Quantitative estimates of linkage confidence are provided.
  • Facilitates inference of gene function and reconstruction of cellular systems.

Conclusions:

  • PLEX is a valuable tool for functional genomics and systems biology.
  • It leverages comparative phylogenetic profiling for gene function prediction.
  • Enables researchers to explore gene linkages and cellular pathways effectively.