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

Pareto Chart

Pareto Chart

A Pareto chart is a bar graph or a combination of both line and bar graphs. The bar lengths represent the individual values or the frequency, while the lines represent the cumulative total values. In this chart, the longest bars are arranged on the left and the shortest bars on the right, which makes it easier to read and interpret the data. It can also be called a Pareto diagram or Pareto analysis.
The Pareto chart is named after the Italian economist Vilfredo Pareto, who described the Pareto...

Compounds Essential to Human Function

Compounds Essential to Human Function

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...

Predicting Molecular Geometry

Predicting Molecular Geometry

VSEPR Theory for Determination of Electron Pair Geometries

Essential Minerals for Bone Health

Essential Minerals for Bone Health

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...

Prediction Intervals

Prediction Intervals

The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.

Optimal Foraging

Optimal Foraging

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.

You might also read

Related Articles

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

Sort by

Same author

A Competitive Coevolution-based Cancer Driver Pathway Identification Algorithm for Maximizing Coverage, Mutual Exclusivity, and Subnet Importance.

IEEE transactions on computational biology and bioinformatics·2026

Same author

Essential Proteins Prediction Using Features Synergy Model and GO Pure Centrality.

IEEE transactions on computational biology and bioinformatics·2026

Same author

A Deep Learning Framework for Identifying Essential Proteins Based on Vision Transformer.

IEEE transactions on computational biology and bioinformatics·2026

Same author

A Deep Learning Framework for Identifying Cancer Driver Genes Based on Transformer and Graph Convolutional Network.

IEEE transactions on computational biology and bioinformatics·2025

Same author

Using Multi-Feature Weak Consensus Model to Discover Essential Proteins.

IEEE transactions on computational biology and bioinformatics·2025

Same author

scPEGEnhanced Graph Convolutional Sparse Subspace Clustering Method for scRNA-Seq Data.

IEEE transactions on computational biology and bioinformatics·2025

Search research articles

Related Experiment Video

Updated: Jan 21, 2026

A Protocol for Computer-Based Protein Structure and Function Prediction

A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

A novel extended Pareto Optimality Consensus model for predicting essential proteins.

Gaoshi Li¹, Min Li², Wei Peng³

¹School of Computer Science and engineering, Central South University, Changsha 410083, China; Guangxi Key Lab of Multi-source Information Mining & Security, Guangxi Normal University, Guilin, Guangxi 541004, China.

Journal of Theoretical Biology

|August 10, 2019

Summary

This summary is machine-generated.

Identifying essential proteins is crucial for cell survival. A new computational method, E_POC, effectively fuses multiple data types to accurately predict essential proteins, outperforming existing approaches.

Keywords:

Essential proteins Gene expression Orthologous PPI network

More Related Videos

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

Published on: January 26, 2024

Predictive Immune Modeling of Solid Tumors

Predictive Immune Modeling of Solid Tumors

Published on: February 25, 2020

Related Experiment Videos

Last Updated: Jan 21, 2026

A Protocol for Computer-Based Protein Structure and Function Prediction

A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

Published on: January 26, 2024

Predictive Immune Modeling of Solid Tumors

Predictive Immune Modeling of Solid Tumors

Published on: February 25, 2020

Area of Science:

Proteomics
Computational Biology
Systems Biology

Background:

Essential proteins are vital for cell viability and reproduction.
Experimental identification of essential proteins is costly and time-consuming.
Computational methods, particularly those using protein-protein interaction (PPI) data, are increasingly employed for essential protein prediction.

Purpose of the Study:

To develop a novel computational method for accurately identifying essential proteins.
To improve essential protein prediction by integrating diverse biological information.
To address limitations of existing methods that rely solely on PPI data.

Main Methods:

Proposed a novel expanded Prediction Of Complexes (POC) model named E_POC.
Constructed a weighted protein-protein interaction (PPI) network.
Integrated orthologous information, edge-clustering coefficient, and gene expression data to assess protein importance, neighbor relevance, and PPI reliability.

Main Results:

The E_POC model effectively fuses multi-source biological information.
Weighted proteins identified by E_POC serve as reliable candidates for essential proteins.
E_POC demonstrated superior performance compared to classical methods in predicting essential proteins in S. cerevisiae and E. coli.

Conclusions:

The E_POC model offers a more accurate and efficient approach to essential protein identification.
Integrating diverse data types enhances the predictive power for essential proteins.
This method has significant implications for understanding fundamental cellular processes and disease mechanisms.