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

Methods of Classification and Identification

Methods of Classification and Identification

Bacterial identification relies on a diverse array of techniques to classify and understand microorganisms, each tailored to uncover specific characteristics. Traditional morphological approaches, while still valuable, are limited for closely related or structurally simple organisms. Modern methods integrate biochemical, serological, genetic, and advanced molecular tools to achieve greater accuracy.Morphological and Biochemical TechniquesMorphological characteristics, such as cell shape and...

Modern Molecular Taxonomy

Modern Molecular Taxonomy

Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...

Protein Networks

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...

You might also read

Related Articles

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

Sort by

Same author

Patient-derived model capturing hypoxia and extracellular matrix remodelling of immunologically cold high-grade serous tumours.

Nature communications·2026

Same author

Genome announcement of sulfate-reducing <i>Oleidesulfovibrio alaskensis</i> G20 with novel electron transfer gene annotations.

Microbiology resource announcements·2026

Same author

Addressing pandemic-wide systematic errors in the SARS-CoV-2 phylogeny.

Nature methods·2026

Same author

Sulfate-reducing bacteria: Unraveling biofilm complexity, stress adaptation, and strategies for corrosion control.

The Science of the total environment·2025

Same author

Mapping the pangenome of sulfate reducing bacteria: core genes, plasticity, and novel functions in Desulfovibrio spp.

World journal of microbiology & biotechnology·2025

Same author

Forecasting Urban Wastewater Microbiome Dynamics Using a Digital Twin Framework.

bioRxiv : the preprint server for biology·2025

Search research articles

Related Experiment Video

Updated: Jul 29, 2025

Engineering Molecular Recognition with Bio-mimetic Polymers on Single Walled Carbon Nanotubes

Engineering Molecular Recognition with Bio-mimetic Polymers on Single Walled Carbon Nanotubes

Published on: January 10, 2017

Classification of bacterial nanowire proteins using Machine Learning and Feature Engineering model.

Dheeraj Raya, Vincent Peta, Alain Bomgni

Biorxiv : the Preprint Server for Biology

|May 19, 2023

Summary

Machine learning models accurately classify microbial nanowire (NW) proteins, crucial for bioelectronics and biosensors. These models identify key protein features involved in electron transfer and metal binding.

More Related Videos

Folding and Characterization of a Bio-responsive Robot from DNA Origami

Folding and Characterization of a Bio-responsive Robot from DNA Origami

Published on: December 3, 2015

Fabrication of Carbon Nanotube High-Frequency Nanoelectronic Biosensor for Sensing in High Ionic Strength Solutions

Fabrication of Carbon Nanotube High-Frequency Nanoelectronic Biosensor for Sensing in High Ionic Strength Solutions

Published on: July 22, 2013

Related Experiment Videos

Last Updated: Jul 29, 2025

Engineering Molecular Recognition with Bio-mimetic Polymers on Single Walled Carbon Nanotubes

Engineering Molecular Recognition with Bio-mimetic Polymers on Single Walled Carbon Nanotubes

Published on: January 10, 2017

Folding and Characterization of a Bio-responsive Robot from DNA Origami

Folding and Characterization of a Bio-responsive Robot from DNA Origami

Published on: December 3, 2015

Fabrication of Carbon Nanotube High-Frequency Nanoelectronic Biosensor for Sensing in High Ionic Strength Solutions

Fabrication of Carbon Nanotube High-Frequency Nanoelectronic Biosensor for Sensing in High Ionic Strength Solutions

Published on: July 22, 2013

Area of Science:

Microbiology
Biotechnology
Bioinformatics

Background:

Microbial nanowires (NWs) facilitate electron transfer, essential for processes like microbially induced corrosion.
NWs are primarily produced by Type IV pili or multiheme c-type cytochromes in bacteria like *Shewanella* and *Geobacter*.
Recent research highlights NW applications in bioelectronics and biosensors.

Conclusions:

Machine learning provides a powerful approach for classifying microbial NW proteins.
Understanding NW protein features is vital for advancing bioelectronic and biosensor technologies.
The developed ML models and dataset offer valuable tools for future research in microbial electron transfer.