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Protein Networks

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...

Protein Networks

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...

Ligand Binding and Linkage

Ligand Binding and Linkage

Allosteric proteins have more than one ligand binding site; the binding of a ligand to any of these sites influences the binding of ligands to the other sites. When a protein is allosteric, its binding sites are called coupled or linked. In the case of enzymes, the site that binds to the substrate is known as the active site and the other site is known as the regulatory site. When a ligand binds to the regulatory site, this leads to conformational changes in the protein that can influence the...

Ligand Binding and Linkage

Ligand Binding and Linkage

Allosteric proteins have more than one ligand binding site; the binding of a ligand to any of these sites influences the binding of ligands to the other sites. When a protein is allosteric, its binding sites are called coupled or linked. In the case of enzymes, the site that binds to the substrate is known as the active site and the other site is known as the regulatory site. When a ligand binds to the regulatory site, this leads to conformational changes in the protein that can influence the...

Covalently Linked Protein Regulators

Covalently Linked Protein Regulators

Proteins can undergo many types of post-translational modifications, often in response to changes in their environment. These modifications play an important role in the function and stability of these proteins. Covalently linked molecules include functional groups, such as methyl, acetyl, and phosphate groups, and also small proteins, such as ubiquitin. There are around 200 different types of covalent regulators that have been identified.
These groups modify specific amino acids in a protein.

Covalently Linked Protein Regulators

Covalently Linked Protein Regulators

Proteins can undergo many types of post-translational modifications, often in response to changes in their environment. These modifications play an important role in the function and stability of these proteins. Covalently linked molecules include functional groups, such as methyl, acetyl, and phosphate groups, and also small proteins, such as ubiquitin. There are around 200 different types of covalent regulators that have been identified.
These groups modify specific amino acids in a protein.

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Related Experiment Video

Updated: Jun 23, 2026

A Web Tool for Generating High Quality Machine-readable Biological Pathways

A Web Tool for Generating High Quality Machine-readable Biological Pathways

Published on: February 8, 2017

Biological process linkage networks.

Dikla Dotan-Cohen¹, Stan Letovsky, Avraham A Melkman

¹Department of Computer Science, Ben-Gurion University, Beer Sheva, Israel. dotna@cs.bgu.ac.il

|April 25, 2009

Summary

This summary is machine-generated.

This study introduces a new method to map interactions between biological processes using protein data. The resulting Process Linkage Network (PLN) aids in understanding cellular systems and predicting protein functions.

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Area of Science:

Systems Biology
Bioinformatics
Computational Biology

Background:

Traditional studies focus on interactions within pathways, neglecting higher-order biological system interactions.
Understanding links between biological processes is crucial for a systems-level view of the cell.

Purpose of the Study:

To develop a methodology for identifying interactions between biological processes.
To construct and analyze a Process Linkage Network (PLN) for understanding cellular organization.

Main Methods:

Analyzing protein-protein interactions, transcriptional co-expression, and genetic interactions.
Developing the concept of Linked Processes and the Process Linkage Network (PLN).

Main Results:

Constructed and analyzed various PLNs across different data sources and species.
Identified biologically relevant links between distant processes in the Gene Ontology hierarchy.
Demonstrated PLN's utility in enhancing protein function prediction accuracy and coverage.

Conclusions:

The PLN approach offers a novel direction for understanding higher-level cellular organization.
This method can improve biological ontologies and protein function prediction.
Facilitates a systems-level comprehension of cellular mechanisms.