Literature DB >> 14668228

Metabolic pathways in three dimensions.

Igor Rojdestvenski1.   

Abstract

MOTIVATION: Currently a substantial research effort is devoted to automated representation of metabolic and gene networks. Automatic visualization plays a significant role in such efforts, and becomes an important problem on its own. Graphical visualization of metabolic pathways has to be information dense and not 'overloaded', recognizable and unified, close to traditional and algebraically consistent. The use of three-dimensional 'virtual reality' visualizations may help to understand better the intricate topology of metabolic and regulatory networks.
RESULTS: A system of visualizing metabolic networks as graphs in three-dimensional space by means of Virtual Reality Modeling Language (VRML) is presented. The system is based on an XML-compliant MNV ('Metabolic Network Visualizer') language, and comprises MNV language standard and parser, MNV to VRML translator, and interactive pathway constructor, all unified by the HTML graphic user interface. AVAILABILITY: The MNV can be accessed in viewer mode at http://www.patronov.net/sciencevr/mnv/indexview.html or in constructor mode at http://www.patronov.net/sciencevr/mnv/indexmake.html SUPPLEMENTARY INFORMATION: The figures for the paper as well as the Appendices may be found at http://www.patronov.net/sciencevr/mnv/screenshots.html

Entities:  

Mesh:

Year:  2003        PMID: 14668228     DOI: 10.1093/bioinformatics/btg342

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  5 in total

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2.  AVIS: AJAX viewer of interactive signaling networks.

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Journal:  Bioinformatics       Date:  2007-09-12       Impact factor: 6.937

3.  MetNetGE: interactive views of biological networks and ontologies.

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Review 4.  Tools for visualization and analysis of molecular networks, pathways, and -omics data.

Authors:  Jose M Villaveces; Prasanna Koti; Bianca H Habermann
Journal:  Adv Appl Bioinform Chem       Date:  2015-06-04

5.  Design considerations for representing systems biology information with the Systems Biology Graphical Notation.

Authors:  Falk Schreiber; Tobias Czauderna
Journal:  J Integr Bioinform       Date:  2022-07-04
  5 in total

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