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

Biostatistics: Overview01:20

Biostatistics: Overview

405
Biostatistics plays a crucial role in understanding and analyzing data in healthcare and biology. Biostatisticians conduct experiments, gather evidence, and draw meaningful conclusions using statistical methods and techniques. Different variables form the foundation of biostatistical analysis, allowing researchers to understand and interpret data effectively. These variables are classified into different types, each serving a specific purpose in statistical analysis.
Discrete variables are...
405
Protein Networks02:26

Protein Networks

2.4K
2.4K
Neural Circuits01:25

Neural Circuits

1.8K
Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
1.8K
Synthetic Biology02:55

Synthetic Biology

5.0K
Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
Golden rice
Golden rice is a genetically modified...
5.0K
Causality in Epidemiology01:21

Causality in Epidemiology

1.1K
Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
1.1K
Statistical Analysis: Overview01:11

Statistical Analysis: Overview

9.4K
When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
9.4K

You might also read

Related Articles

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

Sort by
Same author

Safety, Pharmacokinetics, and Pharmacodynamics of SHR6508, a Calcium-Sensing Receptor Agonist, in Maintenance Hemodialysis Patients With Secondary Hyperparathyroidism: A Multicenter, Randomized, Double-Blind, Placebo-Controlled Phase 1 Study.

Kidney medicine·2026
Same author

Mitochondrial-derived peptide MOTS-c activates metabolic signaling but blunts reparative function in human mesenchymal stromal cells.

Inflammation and regeneration·2026
Same author

Laparoscopic proximal gastrectomy with esophagogastrostomy using overlap method combined with gastric remnant "U"-shaped fold: a retrospective cohort study.

Frontiers in surgery·2026
Same author

Laser polishing for integrated enhancement of thin-walled LPBFed dental Co-Cr-Mo alloy frameworks.

Journal of the mechanical behavior of biomedical materials·2026
Same author

Association between CT-evaluated Poststenotic Dilatation in Human Renal Artery Stenosis and Kidney Release of MCP-1.

Radiology·2026
Same author

Predicting Electronic Health Record Usability: Scoping Review of Adoption Models, Metrics, and Future Directions.

JMIR human factors·2026

Related Experiment Video

Updated: Oct 13, 2025

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
03:37

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Published on: March 1, 2024

956

Integrative COVID-19 biological network inference with probabilistic core decomposition.

Yang Guo1, Fatemeh Esfahani2, Xiaojian Shao3

  • 1Department of Mathematics and Statistics, University of Victoria, 3800 Finnerty Road, V8P 5C2, Victoria, BC, Canada.

Briefings in Bioinformatics
|November 18, 2021
PubMed
Summary
This summary is machine-generated.

This study extends the SARS-CoV-2-human protein-protein interaction network using the Biomine database to generate novel hypotheses for COVID-19 research. We identified potential drug targets and comorbidities for further validation.

Keywords:
COVID-19Core DecompositionData MiningGraph TheoryNetwork Inference

More Related Videos

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
07:28

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

Published on: October 19, 2021

3.3K
Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.3K

Related Experiment Videos

Last Updated: Oct 13, 2025

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
03:37

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Published on: March 1, 2024

956
JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
07:28

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

Published on: October 19, 2021

3.3K
Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.3K

Area of Science:

  • Computational Biology
  • Bioinformatics
  • Virology

Background:

  • Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes significant global mortality.
  • Understanding SARS-CoV-2 and human protein-protein interactions (PPIs) is crucial for developing effective treatments.
  • Existing knowledge on SARS-CoV-2 PPIs requires expansion to generate new research hypotheses.

Purpose of the Study:

  • To extend the known SARS-CoV-2-human PPI network using the Biomine database.
  • To generate novel hypotheses regarding virus-host interactions and potential therapeutic targets.
  • To identify potential COVID-19 comorbidities and drug repurposing opportunities.

Main Methods:

  • In silico extension of the SARS-CoV-2-human PPI network by integrating Biomine data with experimental results.
  • Application of a data analysis pipeline for core decomposition to identify dense subgraphs.
  • Evaluation of identified subgraphs and hypotheses through literature validation, gene function enrichment, and drug repurposing analysis.

Main Results:

  • An extended SARS-CoV-2-human PPI network was generated, revealing high-connectivity sub-communities.
  • Novel hypotheses were proposed, including potential virus-targeting genes and proteins, ranked by their connection to validated nodes.
  • A comprehensive list of novel genes, proteins, and potential COVID-19 comorbidities was compiled.

Conclusions:

  • The study provides a novel computational framework for generating hypotheses in virus-host interactions.
  • The generated hypotheses offer new insights into SARS-CoV-2 pathogenesis and potential therapeutic strategies.
  • The findings contribute valuable knowledge for further experimental validation and drug development for COVID-19.