Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Immune Response Against Viral Pathogens

Immune Response Against Viral Pathogens

The immune system's response to viral infections is a complex and coordinated process involving natural killer (NK) cells, T cell-mediated responses, and antibody-mediated responses.
NK Cells
NK cells are a crucial part of our innate immune system, acting as the first line of defense against viral infections. These cells can recognize and kill infected cells without prior exposure to the virus, effectively slowing down the spread of infection. Additionally, NK cells produce proinflammatory...

Cytotoxic T Cells-mediated Immune Response

Cytotoxic T Cells-mediated Immune Response

Cytotoxic T cells are a vital component of the immune system. They have the remarkable ability to identify and target antigens on infected or abnormal cells. These antigens often originate from intracellular pathogens such as viruses or abnormal proteins cancer cells produce.
Immunological surveillance is the ability of immune cells to monitor and eliminate infected cells with intracellular pathogens, neoplastically transformed cells, and cells with non-self antigens. Cytotoxic T cells and NK...

You might also read

Related Articles

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

Sort by

Same author

Time-Resolved Label-Free Proteomics of SHK-1 Cells After <i>Renibacterium salmoninarum</i> Inoculation Reveals Early Host-Cell Remodeling.

International journal of molecular sciences·2026

Same author

Flavobacteria consume nitrous oxide produced by partial denitrifiers in coastal sediments.

The ISME journal·2026

Same author

Decreasing the proportion of conflict does not help to exploit congruency cues in a Stroop task.

Frontiers in cognition·2026

Same author

FASN thioesterase domain mutation and fatty acid profile in Holstein Friesian intramuscular fat.

Archives animal breeding·2026

Same author

Comparative in vitro screening identifies beta-hairpin antimicrobial peptide leads against Piscirickettsia salmonis, supported by membrane-level molecular dynamics.

BMC microbiology·2026

Same author

Aerobic soil bacteria adapt to hypoxia by hybridizing fermentation with carbon storage.

Proceedings of the National Academy of Sciences of the United States of America·2026

Search research articles

Related Experiment Video

Updated: Jun 7, 2025

Dissecting Innate Immune Signaling in Viral Evasion of Cytokine Production

Dissecting Innate Immune Signaling in Viral Evasion of Cytokine Production

Published on: March 2, 2014

Predicting viral proteins that evade the innate immune system: a machine learning-based immunoinformatics tool.

Jorge F Beltrán¹, Lisandra Herrera Belén², Alejandro J Yáñez^3,4

¹Department of Chemical Engineering, Faculty of Engineering and Science, Universidad de La Frontera, Ave. Francisco Salazar 01145, Temuco, Chile. beltran.lissabet.jf@gmail.com.

BMC Bioinformatics

|November 10, 2024

Summary

VirusHound-II is a new computational tool that accurately predicts viral proteins evading the host immune system. This machine learning approach aids in identifying therapeutic targets and understanding viral evasion mechanisms.

Keywords:

Deep learning Immune system Machine learning Protein Virus

More Related Videos

Arbovirus Infections As Screening Tools for the Identification of Viral Immunomodulators and Host Antiviral Factors

Arbovirus Infections As Screening Tools for the Identification of Viral Immunomodulators and Host Antiviral Factors

Published on: September 13, 2018

Generation of Escape Variants of Neutralizing Influenza Virus Monoclonal Antibodies

Generation of Escape Variants of Neutralizing Influenza Virus Monoclonal Antibodies

Published on: August 29, 2017

Related Experiment Videos

Last Updated: Jun 7, 2025

Dissecting Innate Immune Signaling in Viral Evasion of Cytokine Production

Dissecting Innate Immune Signaling in Viral Evasion of Cytokine Production

Published on: March 2, 2014

Arbovirus Infections As Screening Tools for the Identification of Viral Immunomodulators and Host Antiviral Factors

Arbovirus Infections As Screening Tools for the Identification of Viral Immunomodulators and Host Antiviral Factors

Published on: September 13, 2018

Generation of Escape Variants of Neutralizing Influenza Virus Monoclonal Antibodies

Generation of Escape Variants of Neutralizing Influenza Virus Monoclonal Antibodies

Published on: August 29, 2017

Area of Science:

Computational virology
Immunology
Bioinformatics

Background:

Viral proteins that evade host innate immunity are key to pathogenesis.
Traditional identification methods are complex and time-consuming.
Advancements in computational biology offer new solutions.

Purpose of the Study:

To develop and validate VirusHound-II, a novel machine learning tool.
To accurately predict viral proteins evading the innate immune response (VPEINRs).
To provide a user-friendly web application for researchers.

Main Methods:

Evaluated machine learning models (ensemble, neural networks, SVMs).
Utilized a dataset of 1337 VPEINRs and 1337 non-VPEINRs.
Employed pseudo amino acid composition and tenfold cross-validation.

Main Results:

The random forest model achieved high performance on an independent test set.
Achieved 0.9290 accuracy, 0.9283 F1 score, 0.9354 precision, and 0.9213 sensitivity.
VirusHound-II demonstrated superior predictive capabilities.

Conclusions:

VirusHound-II is an advancement in computational virology.
The tool enables rapid and reliable prediction of VPEINRs.
It can accelerate therapeutic target identification and understanding of viral evasion.