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Types of Signaling Molecules

Types of Signaling Molecules

In multicellular organisms, many molecules transmit signals between cells to pass information. These signals vary in complexity and include small peptides, nucleotides, steroids, fatty acid derivatives, and dissolved gases such as nitric oxide. Some signaling molecules diffuse through the plasma membrane to act locally between neighboring cells or travel long distances. Others remain attached to the cell surface, transmitting information to other cells only when they make contact. In some...

Types of Signaling Molecules

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Mimicking the Function of Signaling Proteins: Toward Artificial Signal Transduction Therapy

Mimicking the Function of Signaling Proteins: Toward Artificial Signal Transduction Therapy

Published on: September 29, 2016

Signaling gateway molecule pages--a data model perspective.

Ashok Reddy Dinasarapu¹, Brian Saunders, Iley Ozerlat

¹Department of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA.

Bioinformatics (Oxford, England)

|April 21, 2011

Summary

This summary is machine-generated.

The Signaling Gateway Molecule Pages (SGMP) database offers structured data on protein functional states in signal transduction. This resource details protein modifications, interactions, and locations, aiding biological pathway understanding.

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Mimicking the Function of Signaling Proteins: Toward Artificial Signal Transduction Therapy

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Published on: September 29, 2016

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

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Area of Science:

Molecular Biology
Systems Biology
Bioinformatics

Background:

The Signaling Gateway Molecule Pages (SGMP) database is accessible at www.signaling-gateway.org/molecule.
SGMP focuses on proteins involved in signal transduction pathways.

Purpose of the Study:

To present a structured database detailing protein functional states.
To capture dynamic changes in protein states due to modifications, interactions, and cellular localization.

Main Methods:

Development of a database (SGMP) to store protein information.
Modeling of protein state transitions based on post-translational modifications, interactions, and translocations.
Exporting data into standard formats like Biological Pathway Exchange (BioPAX) and Systems Biology Markup Language (SBML), and custom XML.

Main Results:

SGMP provides highly structured data on proteins in various functional states.
Each protein state is defined by its modifications, interactions, and cellular location.
State transitions are linked to specific biological processes.

Conclusions:

The SGMP database offers a comprehensive resource for studying signal transduction pathways.
Proteins can function as multiple entities (e.g., channel, receptor, enzyme) within characterized biological states.
Data exportability facilitates integration with other systems biology tools.