Uniform curation protocol of metazoan signaling pathways to predict novel signaling components

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

A relatively large number of signaling databases available today have strongly contributed to our understanding of signaling pathway properties. However, pathway comparisons both within and across databases are currently severely hampered by the large variety of data sources and the different levels of detail of their information content (on proteins and interactions). In this chapter, we present a protocol for a uniform curation method of signaling pathways, which intends to overcome this insufficiency. This uniformly curated database called SignaLink (http://signalink.org) allows us to systematically transfer pathway annotations between different species, based on orthology, and thereby to predict novel signaling pathway components. Thus, this method enables the compilation of a comprehensive signaling map of a given species and identification of new potential drug targets in humans. We strongly believe that the strict curation protocol we have established to compile a signaling pathway database can also be applied for the compilation of other (e.g., metabolic) databases. Similarly, the detailed guide to the orthology-based prediction of novel signaling components across species may also be utilized for predicting components of other biological processes.

Original languageEnglish
Title of host publicationIn Silico Systems Biology
Pages285-297
Number of pages13
DOIs
Publication statusPublished - Sep 4 2013

Publication series

NameMethods in Molecular Biology
Volume1021
ISSN (Print)1064-3745

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Keywords

  • Literature curation
  • Orthology-based prediction
  • Signaling database
  • Signalogs

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics

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