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 Concept Videos

Microbe-Plant Interactions01:09

Microbe-Plant Interactions

Microbe-plant interactions represent a dynamic spectrum of associations shaped by intricate chemical signaling. These interactions can be neutral, beneficial, or detrimental, and profoundly influence plant physiology, growth, and ecosystem function. The plant microbiome, comprising bacteria, fungi, archaea, protists, and viruses, plays a pivotal role in mediating these effects through surface colonization, internal colonization, or systemic symbiosis.Mutualistic associations, particularly with...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

PUFFIN: protein unit discovery with functional supervision.

Bioinformatics (Oxford, England)·2026
Same author

Unraveling Aberrant Metabolic Patterns in Alzheimer's Disease Subtypes: From Perturbed Metabolic Pathways to Candidate Drug Targets.

Molecular neurobiology·2026
Same author

Genome-scale metabolic modeling uncovers cell-type specific signatures associated with APOE variants.

iScience·2026
Same author

ConGen: Targeted Molecule Generation Through Contrastive Learning and Latent Optimization.

Molecular informatics·2026
Same author

Metabolite-centric identification of antimetabolite drug targets across cancer and neurodegenerative diseases.

Molecular omics·2026
Same author

VO: The Vaccine Ontology.

Scientific data·2026

Related Experiment Video

Updated: May 13, 2026

A Comparative Approach to Characterize the Landscape of Host-Pathogen Protein-Protein Interactions
13:56

A Comparative Approach to Characterize the Landscape of Host-Pathogen Protein-Protein Interactions

Published on: July 18, 2013

PHISTO: pathogen-host interaction search tool.

Saliha Durmuş Tekir1, Tunahan Çakır, Emre Ardiç

  • 1Department of Chemical Engineering, Boğaziçi University, 34342 Bebek, Sarıyer, İstanbul, Turkey. saliha.durmus@boun.edu.tr

Bioinformatics (Oxford, England)
|March 22, 2013
PubMed
Summary

The pathogen-host interaction search tool (PHISTO) offers a web platform for pathogen-host interactions (PHIs). This tool aids in understanding infection mechanisms and identifying therapeutic targets for infectious diseases.

More Related Videos

Label-Free Quantitative Proteomics Workflow for Discovery-Driven Host-Pathogen Interactions
05:37

Label-Free Quantitative Proteomics Workflow for Discovery-Driven Host-Pathogen Interactions

Published on: October 20, 2020

High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions
14:58

High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions

Published on: March 5, 2022

Related Experiment Videos

Last Updated: May 13, 2026

A Comparative Approach to Characterize the Landscape of Host-Pathogen Protein-Protein Interactions
13:56

A Comparative Approach to Characterize the Landscape of Host-Pathogen Protein-Protein Interactions

Published on: July 18, 2013

Label-Free Quantitative Proteomics Workflow for Discovery-Driven Host-Pathogen Interactions
05:37

Label-Free Quantitative Proteomics Workflow for Discovery-Driven Host-Pathogen Interactions

Published on: October 20, 2020

High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions
14:58

High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions

Published on: March 5, 2022

Area of Science:

  • Microbiology
  • Bioinformatics
  • Computational Biology

Background:

  • Understanding pathogen-host protein interactions is crucial for deciphering infection mechanisms.
  • Existing data on these interactions are fragmented and require a centralized resource.

Purpose of the Study:

  • To introduce the pathogen-host interaction search tool (PHISTO), a novel web-accessible platform.
  • To provide comprehensive and up-to-date information on pathogen-host interactions (PHIs).

Main Methods:

  • PHISTO aggregates experimentally verified protein interaction data between pathogens and humans.
  • The platform integrates tools for network visualization, graph-theoretical analysis, BLAST search, and text mining.

Main Results:

  • PHISTO offers access to the latest PHI data across all pathogen types with known human interactions.
  • Integrated tools facilitate in-depth analysis of PHI networks and identification of key host proteins.

Conclusions:

  • PHISTO serves as a valuable resource for researchers studying pathogen-host interactions.
  • The platform is expected to accelerate the discovery of potential therapeutic targets for infectious diseases.