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

Viral Mutations00:36

Viral Mutations

32.8K
A mutation is a change in the sequence of bases of DNA or RNA in a genome. Some mutations occur during replication of the genome due to errors made by the polymerase enzymes that replicate DNA or RNA. Unlike DNA polymerase, RNA polymerase is prone to errors because it is not capable of “proofreading” its work. Viruses with RNA-based genomes, like HIV, therefore accrue mutations faster than viruses with DNA-based genomes. Because mutation and recombination provide the raw material...
32.8K
Viral Replication: Lytic Cycle01:20

Viral Replication: Lytic Cycle

173
Bacteriophages, or phages, are viruses that specifically infect bacteria. Among them, T-even bacteriophages, such as T4, exhibit a well-characterized lytic replication cycle in Escherichia coli (E. coli). This process ensures the rapid proliferation of the virus while ultimately leading to the destruction of the bacterial host.Attachment and DNA InjectionThe infection process begins with the recognition and binding of the T4 phage to the E. coli cell surface. Tail fibers of the phage...
173
Retrovirus Life Cycles01:10

Retrovirus Life Cycles

46.5K
Retroviruses have a single-stranded RNA genome that undergoes a special form of replication. Once the retrovirus has entered the host cell, an enzyme called reverse transcriptase synthesizes double-stranded DNA from the retroviral RNA genome. This DNA copy of the genome is then integrated into the host’s genome inside the nucleus via an enzyme called integrase. Consequently, the retroviral genome is transcribed into RNA whenever the host’s genome is transcribed, allowing the...
46.5K
Viral Replication: Lysogenic Cycle01:16

Viral Replication: Lysogenic Cycle

160
The lysogenic cycle is a crucial viral replication strategy that allows bacteriophages to persist within host cells without immediately destroying them. This process is primarily observed in temperate phages, such as bacteriophage lambda (λ), which infects Escherichia coli. The cycle allows the viral genome to persist across bacterial generations while keeping host cells viable.Integration of the Viral GenomeUpon infection, bacteriophage lambda attaches to the bacterial surface and injects...
160
Viruses with RNA Genomes01:29

Viruses with RNA Genomes

96
RNA viruses are categorized into positive-strand, negative-strand, or double-stranded groups based on their genomic structure and replication mechanisms. This classification dictates how they exploit host cellular machinery for protein synthesis and replication. Some RNA viruses also utilize reverse transcription as part of their life cycle, further diversifying their replication strategies.Positive-Strand RNA VirusesPositive-strand RNA viruses have genomes that function directly as messenger...
96
Lytic Cycle of Bacteriophages01:30

Lytic Cycle of Bacteriophages

71.7K
Bacteriophages, also known as phages, are specialized viruses that infect bacteria. A key characteristic of phages is their distinctive “head-tail” morphology. A phage begins the infection process (i.e., lytic cycle) by attaching to the outside of a bacterial cell. Attachment is accomplished via proteins in the phage tail that bind to specific receptor proteins on the outer surface of the bacterium. The tail injects the phage’s DNA genome into the bacterial cytoplasm. In the...
71.7K

You might also read

Related Articles

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

Sort by
Same author

Improving the value of population health data for health policy and decision-making using machine learning algorithms in EQ-5D-5L index estimation.

Scientific reports·2026
Same author

A new hybrid model for improving outlier detection using combined autoencoder and variational autoencoder.

Scientific reports·2025
Same author

A new algorithm for multiple medical image encryption based on stacked representation and block division.

Scientific reports·2025
Same author

Multi robot exploration using an advanced multi-objective salp swarm algorithm for efficient coverage and performance.

Scientific reports·2025
Same author

Improved model for intrusion detection in the Internet of Things.

Scientific reports·2025
Same author

A new intelligent control strategy for CSTH temperature regulation based on the starfish optimization algorithm.

Scientific reports·2025
Same journal

Supporting human-agent communication for explainable planning in spatial-temporal planning problems.

Neural computing & applications·2026
Same journal

Contrastive learning-based video quality assessment-jointed video vision transformer for video recognition.

Neural computing & applications·2026
Same journal

Sequential pattern transformer (SPT): a generative and interpretable framework for predicting disease trajectories.

Neural computing & applications·2026
Same journal

Balancing misclassification errors in image-based inference using problem domain semantics and a nested cascade architecture.

Neural computing & applications·2025
Same journal

Deep multi-objective reinforcement learning for utility-based infrastructural maintenance optimization.

Neural computing & applications·2025
Same journal

A fairness scale for real-time recidivism forecasts using a national database of convicted offenders.

Neural computing & applications·2025
See all related articles

Related Experiment Video

Updated: Aug 30, 2025

Production of a SARS-CoV-2 Virus-Like-Particle System to Investigate Viral Life Cycles In Vitro
09:26

Production of a SARS-CoV-2 Virus-Like-Particle System to Investigate Viral Life Cycles In Vitro

Published on: June 6, 2025

605

COVIDOA: a novel evolutionary optimization algorithm based on coronavirus disease replication lifecycle.

Asmaa M Khalid1, Khalid M Hosny1, Seyedali Mirjalili2

  • 1Department of Information Technology, Faculty of Computers and Informatics, Zagazig University, Zagazig, 44519 Egypt.

Neural Computing & Applications
|August 31, 2022
PubMed
Summary
This summary is machine-generated.

A new bio-inspired Coronavirus Optimization Algorithm (COVIDOA) mimics viral replication for evolutionary search. This novel optimization technique demonstrates superior performance compared to existing metaheuristic algorithms.

Keywords:
Best costConvergenceCoronavirusEvolutionary algorithmFrameshiftingOptimization

More Related Videos

Modeling The Lifecycle Of Ebola Virus Under Biosafety Level 2 Conditions With Virus-like Particles Containing Tetracistronic Minigenomes
10:11

Modeling The Lifecycle Of Ebola Virus Under Biosafety Level 2 Conditions With Virus-like Particles Containing Tetracistronic Minigenomes

Published on: September 27, 2014

36.4K
Pairwise Growth Competition Assay for Determining the Replication Fitness of Human Immunodeficiency Viruses
11:19

Pairwise Growth Competition Assay for Determining the Replication Fitness of Human Immunodeficiency Viruses

Published on: May 4, 2015

11.3K

Related Experiment Videos

Last Updated: Aug 30, 2025

Production of a SARS-CoV-2 Virus-Like-Particle System to Investigate Viral Life Cycles In Vitro
09:26

Production of a SARS-CoV-2 Virus-Like-Particle System to Investigate Viral Life Cycles In Vitro

Published on: June 6, 2025

605
Modeling The Lifecycle Of Ebola Virus Under Biosafety Level 2 Conditions With Virus-like Particles Containing Tetracistronic Minigenomes
10:11

Modeling The Lifecycle Of Ebola Virus Under Biosafety Level 2 Conditions With Virus-like Particles Containing Tetracistronic Minigenomes

Published on: September 27, 2014

36.4K
Pairwise Growth Competition Assay for Determining the Replication Fitness of Human Immunodeficiency Viruses
11:19

Pairwise Growth Competition Assay for Determining the Replication Fitness of Human Immunodeficiency Viruses

Published on: May 4, 2015

11.3K

Area of Science:

  • Computational Intelligence
  • Bio-inspired Computing
  • Optimization Algorithms

Background:

  • Metaheuristic algorithms are widely used for complex optimization problems.
  • Existing algorithms face challenges in efficiency and convergence speed.
  • Bio-inspired approaches offer novel strategies for problem-solving.

Purpose of the Study:

  • To introduce a novel bio-inspired optimization algorithm, the Coronavirus Optimization Algorithm (COVIDOA).
  • To evaluate the efficiency of COVIDOA by mimicking coronavirus replication mechanisms.
  • To compare COVIDOA's performance against established metaheuristic algorithms.

Main Methods:

  • Developed the Coronavirus Optimization Algorithm (COVIDOA) based on coronavirus replication and frameshifting.
  • Tested COVIDOA on 20 standard benchmark functions, five CEC 2006, and five CEC 2011 real-world problems.
  • Compared COVIDOA against eight state-of-the-art metaheuristic algorithms using metrics like best cost, average cost, standard deviation, and convergence speed.

Main Results:

  • COVIDOA demonstrated competitive and superior performance across various benchmark and real-world optimization problems.
  • The algorithm showed promising results in terms of best cost, average cost, and standard deviation.
  • COVIDOA exhibited effective convergence speed compared to other tested algorithms.

Conclusions:

  • The Coronavirus Optimization Algorithm (COVIDOA) is an effective and efficient novel bio-inspired optimization technique.
  • COVIDOA shows significant potential for solving complex optimization tasks.
  • The algorithm's unique inspiration from viral mechanisms contributes to its robust performance.