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Enzyme-linked Receptors01:00

Enzyme-linked Receptors

Enzyme-linked receptors are proteins that act as both receptor and enzyme, activating multiple intracellular signals. This is a large group of receptors that include the receptor tyrosine kinase (RTK) family. Many growth factors and hormones bind to and activate the RTKs.
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Coupled Reactions01:17

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A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions
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A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions

Published on: May 27, 2021

Using the reactome database.

Robin Haw1, Lincoln Stein1

  • 1Ontario Institute for Cancer Research, Toronto, Ontario, Canada.

Current Protocols in Bioinformatics
|June 16, 2012
PubMed
Summary
This summary is machine-generated.

Reactome is a curated pathway database detailing human biological processes and molecular reactions. It offers tools for exploring pathways, analyzing experimental data, and comparing pathways across species, aiding bioinformatics research.

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

Published on: February 8, 2017

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Last Updated: May 21, 2026

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions
07:40

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions

Published on: May 27, 2021

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

Area of Science:

  • Bioinformatics
  • Molecular Biology
  • Systems Biology

Background:

  • The bioinformatics community requires comprehensive pathway databases for biological research.
  • The Reactome project is a collaborative effort to curate human biological pathways and molecular reactions.
  • Existing databases lack detailed information on molecular reactions across various biological processes.

Purpose of the Study:

  • To describe the utilization of the Reactome database for understanding biological pathways.
  • To guide users in navigating, browsing, and analyzing pathway information within Reactome.
  • To demonstrate the application of Reactome's tools for data analysis and cross-species comparisons.

Main Methods:

  • Utilizing the Reactome database to learn biological pathway steps.
  • Navigating and browsing the Reactome database structure.
  • Employing Reactome's Pathway and Expression analysis tools for data visualization.
  • Using the Species Comparison tool for cross-organism pathway analysis.

Main Results:

  • Users can effectively learn biological pathway steps and navigate the Reactome database.
  • Identification of molecules involved in specific pathways is facilitated.
  • Visualization of user-supplied experimental data within Reactome pathways is achievable.
  • Comparison of human and model organism pathways is readily accessible.

Conclusions:

  • The Reactome database provides a valuable resource for exploring and analyzing biological pathways.
  • Its user-friendly interface and analysis tools support diverse research needs in bioinformatics and molecular biology.
  • Reactome enhances understanding of molecular reactions and cellular events across species.