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Cellular processes such as building and breaking down complex molecules occur through stepwise chemical reactions. Some of these chemical reactions are spontaneous and release energy, whereas others require energy to proceed. Cells often couple the energy-releasing reaction with the energy-requiring one to carry out important cell functions. 
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A Web Tool for Generating High Quality Machine-readable Biological Pathways
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The Reactome pathway knowledgebase.

David Croft1, Antonio Fabregat Mundo, Robin Haw

  • 1European Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK, Ontario Institute for Cancer Research, Toronto, ON M5G0A3, Canada, College of Pharmacy and Health Sciences, St. John's University, Queens, NY 11439, USA, NYU School of Medicine, New York, NY 10016, USA, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA and Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A1, Canada.

Nucleic Acids Research
|November 19, 2013
PubMed
Summary
This summary is machine-generated.

Reactome is a manually curated pathway database detailing human proteins and reactions. Version 46 features a redesigned website and analysis tools, with an expanded data model for disease and mutation annotations.

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Area of Science:

  • Biomedical Informatics
  • Molecular Biology
  • Systems Biology

Background:

  • Reactome is a manually curated, open-source database of human pathways and reactions.
  • It provides a comprehensive resource for understanding biological processes at the molecular level.

Purpose of the Study:

  • To present the latest version of Reactome (v46) and its significant updates.
  • To highlight the redesigned website and analysis tools for improved user experience.
  • To introduce extensions to the data model for disease and mutation annotation.

Main Methods:

  • Manual curation of scientific literature to identify and document human pathways and reactions.
  • Data extraction from over 15,000 research publications with PubMed links.
  • Web site and analysis tool redesign focusing on speed, flexibility, and user-friendliness.
  • Extension of the data model to incorporate disease processes and mutations.

Main Results:

  • Version 46 describes 7,088 human proteins and 6,744 reactions.
  • The Reactome website and analysis tools have been completely redesigned.
  • The data model now supports annotation of disease processes and mutations.

Conclusions:

  • Reactome v46 offers an enhanced resource for pathway and reaction data.
  • The redesigned platform improves accessibility and usability for researchers.
  • Expanded annotation capabilities facilitate the study of diseases and genetic variations.