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

Osmoregulation in Fishes02:32

Osmoregulation in Fishes

53.1K
When cells are placed in a hypotonic (low-salt) fluid, they can swell and burst. Meanwhile, cells in a hypertonic solution—with a higher salt concentration—can shrivel and die. How do fish cells avoid these gruesome fates in hypotonic freshwater or hypertonic seawater environments?
53.1K
Compounds Essential to Human Function01:25

Compounds Essential to Human Function

10.3K
The human body is composed of cells that are fundamentally made up of several different molecules. These molecules are essential to carry out all physiological processes in the body and are broadly classified into organic and inorganic based on their chemical structures.
Inorganic Compounds Essential to Human Functioning
Inorganic compounds essential to human functioning include water, salts, acids, and bases. These compounds are inorganic, i.e., they do not have a carbon-hydrogen bond. Water...
10.3K
Essential Minerals for Bone Health01:31

Essential Minerals for Bone Health

6.5K
The minerals contained in all of the food we consume are essential for our organ systems. However, certain essential minerals, such as calcium, phosphorus, magnesium, manganese, and fluoride, largely affect bone health.
Calcium and Phosphorus
Calcium is a critical component of bones, especially in the form of calcium phosphate and calcium carbonate. Since the body cannot make calcium, it must be obtained from the diet. However, calcium cannot be absorbed from the small intestine without...
6.5K
Optimal Foraging00:48

Optimal Foraging

13.9K
How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.
13.9K
Natural and Artificial Concepts01:24

Natural and Artificial Concepts

576
In psychology, concepts can be divided into two categories: natural and artificial. Natural concepts are formed through direct or indirect experiences. For example, consider the concept of snow. If you live in a place with regular snowfall, such as Essex Junction, Vermont, you know snow through direct experiences. You’ve seen it fall, touched it, shoveled it, and played in it. You recognize its texture, appearance, and even its smell. In contrast, if you live on an island like Saint...
576
Optimization Problems01:26

Optimization Problems

77
Optimization problems often involve identifying maximum or minimum values under specific constraints. A well-known example is determining the longest horizontal pipe that can be moved around a right-angled corner, where a 3-meter-wide hallway meets a 2-meter-wide hallway. This scenario, common in architectural design and industrial transport, can be understood conceptually through geometric and trigonometric reasoning.To visualize the problem, consider the pipe as a straight line that touches...
77

You might also read

Related Articles

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

Sort by
Same author

Effects of transitional care interventions on rehospitalization, functional outcomes, and quality of life in stroke survivors: an updated systematic review and meta-analysis of randomized controlled trials.

Frontiers in neurology·2026
Same author

Characteristics, treatment patterns, healthcare resource use, and costs among adult patients diagnosed with neurofibromatosis type 1 and plexiform neurofibromas in the United States.

BMC neurology·2026
Same author

Identification of the Novel HLA-DRB1*04:399 Allele in a Chinese Individual.

HLA·2026
Same author

A bifunctional fluorescence probe based on cinnamic acid for recognition of Al<sup>3+</sup> and N<sub>2</sub>H<sub>4</sub> in living cells and water environments.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy·2026
Same author

EPHB2 drives EMT-linked vasculogenic mimicry and cervical cancer progression via an ERK-ETV4 transcriptional program.

Journal of translational medicine·2026
Same author

Role of gut microbiota modulation in preventing and treating sarcopenia in patients with liver cirrhosis: A narrative review.

Arab journal of gastroenterology : the official publication of the Pan-Arab Association of Gastroenterology·2026

Related Experiment Video

Updated: Feb 6, 2026

Necropsy-based Wild Fish Health Assessment
07:57

Necropsy-based Wild Fish Health Assessment

Published on: September 11, 2018

18.1K

Artificial Fish Swarm Optimization Based Method to Identify Essential Proteins.

Xiujuan Lei, Xiaoqin Yang, Fang-Xiang Wu

    IEEE/ACM Transactions on Computational Biology and Bioinformatics
    |August 17, 2018
    PubMed
    Summary

    This study introduces AFSO_EP, a new computational method using artificial fish swarm optimization to accurately predict essential proteins in protein-protein interaction networks. The approach enhances understanding of cellular functions and molecular mechanisms.

    More Related Videos

    Basic Methods for the Study of Reproductive Ecology of Fish in Aquaria
    07:25

    Basic Methods for the Study of Reproductive Ecology of Fish in Aquaria

    Published on: July 20, 2017

    12.0K
    The ChIP-exo Method: Identifying Protein-DNA Interactions with Near Base Pair Precision
    09:27

    The ChIP-exo Method: Identifying Protein-DNA Interactions with Near Base Pair Precision

    Published on: December 23, 2016

    17.4K

    Related Experiment Videos

    Last Updated: Feb 6, 2026

    Necropsy-based Wild Fish Health Assessment
    07:57

    Necropsy-based Wild Fish Health Assessment

    Published on: September 11, 2018

    18.1K
    Basic Methods for the Study of Reproductive Ecology of Fish in Aquaria
    07:25

    Basic Methods for the Study of Reproductive Ecology of Fish in Aquaria

    Published on: July 20, 2017

    12.0K
    The ChIP-exo Method: Identifying Protein-DNA Interactions with Near Base Pair Precision
    09:27

    The ChIP-exo Method: Identifying Protein-DNA Interactions with Near Base Pair Precision

    Published on: December 23, 2016

    17.4K

    Area of Science:

    • Computational biology
    • Bioinformatics
    • Systems biology

    Background:

    • Essential proteins are crucial for cellular activities and understanding them aids in deciphering cellular functions and molecular mechanisms.
    • Existing methods for identifying essential proteins from protein-protein interaction (PPI) networks often suffer from low efficiency and sensitivity to noisy data.
    • There is a need for improved computational approaches to accurately predict essential proteins.

    Purpose of the Study:

    • To develop and validate a novel computational approach, Artificial Fish Swarm Optimization for Essential Proteins prediction (AFSO_EP), for identifying essential proteins within PPI networks.
    • To leverage multiple data sources, including network topology, gene expression, gene ontology (GO) annotation, and subcellular localization, for enhanced essential protein prediction.
    • To compare the performance of AFSO_EP against existing methods to demonstrate its effectiveness.

    Main Methods:

    • The AFSO_EP method utilizes artificial fish swarm optimization, mimicking behaviors like foraging, following, swarming, and random movement.
    • Known essential proteins are used as initial 'artificial fishes' to guide the prediction process.
    • Integration of diverse biological data (network topology, gene expression, GO, subcellular localization) enhances the prediction accuracy.

    Main Results:

    • Experiments conducted on Saccharomyces cerevisiae and Drosophila melanogaster demonstrate that AFSO_EP achieves superior performance in identifying essential proteins.
    • AFSO_EP shows improved accuracy and robustness compared to several established essential protein identification methods.
    • The results confirm the effectiveness of the artificial fish swarm optimization approach in the context of essential protein prediction.

    Conclusions:

    • AFSO_EP represents a significant advancement in computational methods for essential protein prediction from PPI networks.
    • The integration of multi-source biological data and the novel optimization strategy contribute to the method's high performance.
    • This approach offers a more efficient and sensitive tool for researchers studying cellular functions and molecular mechanisms.