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

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.8K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
5.8K
Applications of Molecular Taxonomy01:20

Applications of Molecular Taxonomy

25
Molecular taxonomy has revolutionized the understanding and classification of bacteria, providing precise insights into their diversity, evolutionary relationships, and ecological roles. By utilizing molecular techniques such as DNA sequencing and fingerprinting, researchers have made significant strides in various fields related to bacterial studies.Resolving Taxonomic AmbiguitiesMolecular taxonomy has been instrumental in distinguishing closely related bacterial species initially thought to...
25
Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

26
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...
26
Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

15.2K
A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
15.2K
Genetic Variation01:25

Genetic Variation

297
Genetic variation is the diversity in DNA sequences found among individuals of the same species. This diversity is crucial for a species' survival because it helps organisms adapt to environmental changes. Genetic variation begins with fertilization, where an egg and sperm cell merge. Each of these cells carries 23 chromosomes, up to 46 in the fertilized egg. Chromosomes are long DNA strands that contain genes, the basic units of heredity.
Genes exist in different versions called alleles,...
297
Phylogeny01:23

Phylogeny

44.2K
Phylogeny is concerned with the evolutionary diversification of organisms or groups of organisms. A group of organisms with a name is called a taxon (singular). Taxa (plural) can span different levels of the evolutionary hierarchy. For instance, the group containing all birds is a taxon (comprising the class Aves), and the group of all species of daisies (the genus Bellis) is a taxon. Phylogenies can likewise include just one genus (i.e., depict species relationships) or span an entire kingdom.
44.2K

You might also read

Related Articles

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

Sort by
Same author

In Silico Systems Biology Approach for Prioritization of Candidate Genes Linked to Lipid Metabolism in the Context of Cardiovascular Disease Susceptibility in a Serbian Cohort.

Current issues in molecular biology·2026
Same author

The Pro- and Anti-Inflammatory Cytokine Profile in Keratoconus as a Predictor of Five-Year Corneal Cross-Linking Outcomes.

International journal of molecular sciences·2026
Same author

Development of novel monoclonal antibodies for detection of pan-Lassa virus.

PLoS neglected tropical diseases·2026
Same author

Searching for immune correlates in Lassa vaccine development - workshop report.

NPJ vaccines·2026
Same author

Discovery of potent cross-neutralizing antibodies against Marburg and Ravn viruses with therapeutic potential.

Npj viruses·2025
Same author

ENOblock synergizes with colistin to treat Acinetobacter baumannii infections.

EMBO molecular medicine·2025

Related Experiment Video

Updated: Jul 12, 2025

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

15.9K

Novel Entropy-Based Phylogenetic Algorithm: A New Approach for Classifying SARS-CoV-2 Variants.

Vladimir Perovic1, Sanja Glisic1, Milena Veljkovic1

  • 1Biomed Protection, Galveston, TX 77550, USA.

Entropy (Basel, Switzerland)
|October 28, 2023
PubMed
Summary

A new bioinformatics method uses electron-ion interaction potential (EIIP) entropy in the SARS-CoV-2 spike protein to rapidly classify virus variants. This aids in identifying potential variants of concern (VOCs) and interest (VOIs) for global health surveillance.

Keywords:
COVID-19SARS-CoV-2electron–ion interaction potentialentropyphylogenetic analysis

More Related Videos

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
07:15

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation

Published on: January 16, 2019

11.0K
Author Spotlight: A Pseudotype Virus System for Assessing Omicron Subvariants and Neutralizing Antibodies in SARS-CoV-2 Research
06:08

Author Spotlight: A Pseudotype Virus System for Assessing Omicron Subvariants and Neutralizing Antibodies in SARS-CoV-2 Research

Published on: September 8, 2023

1.2K

Related Experiment Videos

Last Updated: Jul 12, 2025

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

15.9K
Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
07:15

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation

Published on: January 16, 2019

11.0K
Author Spotlight: A Pseudotype Virus System for Assessing Omicron Subvariants and Neutralizing Antibodies in SARS-CoV-2 Research
06:08

Author Spotlight: A Pseudotype Virus System for Assessing Omicron Subvariants and Neutralizing Antibodies in SARS-CoV-2 Research

Published on: September 8, 2023

1.2K

Area of Science:

  • Virology
  • Bioinformatics
  • Genomics

Background:

  • SARS-CoV-2 exhibits significant genetic diversity, necessitating robust classification of variants of concern (VOCs) and variants of interest (VOIs).
  • Accurate and rapid identification of viral variants is crucial for effective public health response and surveillance.
  • The spike protein (SP1) is a critical target due to its role in viral entry and immune evasion, and its high mutation rate.

Purpose of the Study:

  • To develop a novel bioinformatics criterion for enhanced identification and classification of SARS-CoV-2 variants.
  • To create a scalable and rapid method for analyzing large genomic datasets.
  • To predict the impact of mutations on viral characteristics and potential risk.

Main Methods:

  • Development of a unique phylogenetic algorithm.
  • Calculation of electron-ion interaction potential (EIIP) entropy as a distance measure based on amino acid distribution in the spike protein (SP1).
  • Application of the algorithm to large genomic datasets for variant analysis.

Main Results:

  • The EIIP-entropy method provides a comprehensive and rapid approach for variant classification.
  • The method effectively predicts the potential risk associated with emergent SARS-CoV-2 variants.
  • Demonstrated scalability for analyzing extensive genomic data.

Conclusions:

  • The novel EIIP-entropy bioinformatics criterion offers a robust tool for classifying SARS-CoV-2 variants into potential VOCs or VOIs.
  • This approach can significantly augment global surveillance efforts and deepen the understanding of variant characteristics.
  • The method holds potential for analyzing other emerging viral pathogens, enhancing global preparedness.