An online system for metabolic network analysis

Abdullah Ercument Cicek*, Xinjian Qi, Ali Cakmak, Stephen R. Johnson, Xu Han, Sami Alshalwi, Zehra Meral Ozsoyoglu, Gultekin Ozsoyoglu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

Abstract

Metabolic networks have become one of the centers of attention in life sciences research with the advancements in the metabolomics field. A vast array of studies analyzes metabolites and their interrelations to seek explanations for various biological questions, and numerous genome-scale metabolic networks have been assembled to serve for this purpose. The increasing focus on this topic comes with the need for software systems that store, query, browse, analyze and visualize metabolic networks. PathCase Metabolomics Analysis Workbench (PathCaseMAW) is built, released and runs on a manually created generic mammalian metabolic network. The PathCaseMAW system provides a database-enabled framework and Web-based computational tools for browsing, querying, analyzing and visualizing stored metabolic networks. PathCaseMAW editor, with its user-friendly interface, can be used to create a new metabolic network and/or update an existing metabolic network. The network can also be created from an existing genome-scale reconstructed network using the PathCaseMAW SBML parser. The metabolic network can be accessed through a Web interface or an iPad application. For metabolomics analysis, steady-state metabolic network dynamics analysis (SMDA) algorithm is implemented and integrated with the system. SMDA tool is accessible through both the Web-based interface and the iPad application for metabolomics analysis based on a metabolic profile. PathCaseMAW is a comprehensive system with various data input and data access subsystems. It is easy to work with by design, and is a promising tool for metabolomics research and for educational purposes.

Original languageEnglish
Article numberbau091
JournalDatabase : the journal of biological databases and curation
Volume2014
DOIs
Publication statusPublished - 2014
Externally publishedYes

Bibliographical note

Publisher Copyright:
© The Author(s) 2014. Published by Oxford University Press.

Funding

This research has been supported by the National Science Foundation grants DBI 0743705, DBI 0849956, CRI 0551603 and by the National Institute of Health grant (GM088823).

FundersFunder number
National Science FoundationDBI 0849956, DBI 0743705, 0551603, CRI 0551603, 0743705, 0849956
Foundation for the National Institutes of HealthGM088823
National Institute of General Medical SciencesR01GM088823

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