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Related Concept Videos

Protein Networks02:26

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 Networks02:26

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,...
Molecular Models02:00

Molecular Models

Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
Protein Organization01:13

Protein Organization

Overview
Protein Organization01:24

Protein Organization

Proteins are polymers of amino acid residues. They are versatile and responsible for different cellular functions, including DNA replication, molecular transport, catalysis, and structural support. Proteins have a hierarchical structure comprising at least three levels of organization: primary, secondary, and tertiary structure. Some large proteins have a quaternary structure where individual protein subunits are linked together.
The primary structure of a protein is its amino acid sequence.
Protein Organization01:24

Protein Organization

Proteins are polymers of amino acid residues. They are versatile and responsible for different cellular functions, including DNA replication, molecular transport, catalysis, and structural support. Proteins have a hierarchical structure comprising at least three levels of organization: primary, secondary, and tertiary structure. Some large proteins have a quaternary structure where individual protein subunits are linked together.
The primary structure of a protein is its amino acid sequence.

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Related Experiment Video

Updated: Jun 12, 2026

A Web Tool for Generating High Quality Machine-readable Biological Pathways
08:01

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

Published on: February 8, 2017

A parallel algorithm to compute chemical organizations in biological networks.

Florian Centler1, Christoph Kaleta, Pietro Speroni di Fenizio

  • 1Department of Environmental Microbiology, UFZ - Helmholtz Centre for Environmental Research, Permoserstrasse 15, D-04318 Leipzig, Germany. florian.centler@ufz.de

Bioinformatics (Oxford, England)
|May 27, 2010
PubMed
Summary

This study presents a parallelized algorithm for analyzing large biochemical models, overcoming computational limitations of existing methods. The new approach enhances scalability for complex in silico systems biology analyses.

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Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods
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Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods

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Last Updated: Jun 12, 2026

A Web Tool for Generating High Quality Machine-readable Biological Pathways
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Published on: February 8, 2017

Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods
05:34

Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods

Published on: June 6, 2025

Area of Science:

  • Systems Biology
  • Computational Biology
  • Biochemistry

Background:

  • Analyzing genome-scale in silico models using stoichiometry-based methods is computationally intensive.
  • Current algorithms for chemical organizations in reaction networks are restricted to small-scale models, limiting analysis of larger systems.

Purpose of the Study:

  • To introduce a parallelized version of the constructive algorithm for determining chemical organizations.
  • To enable thorough analysis of large-scale computational models.

Main Methods:

  • Implementation of the constructive algorithm in Standard C.
  • Parallelization using the Message Passing Interface (MPI) protocol.
  • Execution on computer clusters utilizing multiple processors.

Main Results:

  • The developed algorithm is parallelized in an "embarrassingly parallel" manner.
  • The approach demonstrates good scalability for analyzing large models.
  • Enables efficient computation of chemical organizations in complex networks.

Conclusions:

  • The parallelized algorithm significantly reduces computational demands for analyzing large in silico models.
  • This advancement allows for more thorough investigation of complex biochemical networks.
  • The MPI-based implementation offers good scalability on computer clusters.