Toward automatically drawn metabolic pathway atlas with peripheral node abstraction algorithm

Myungha Jang, Arang Rhie, Hyun Seok Park

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Graphical layout techniques serve a vital part in systems biology to enhance understanding and visualization of chemical reaction pathways in our body. Metabolic networks have particularly complex binding structures, making its graphical representation challenging to comprehend. For the purpose of legibility, reducing graph complexity in metabolic networks is crucial when working with large number of nodes and edges. This paper introduces a node abstraction algorithm that treats metabolic pathways as hierarchical networks and considers reactions between compound pairs - the equivalent of node pairs in the context of biological networks - as an elastic parameter for reaction compression in an automated way. Substrates and products that locally compose reactions with low connectivity were reduced, and cyclical or hierarchical pathways were aligned according to their structural composition.

Original languageEnglish
Title of host publicationProceedings - 2010 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2010
Pages638-642
Number of pages5
DOIs
StatePublished - 2010
Event2010 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2010 - Hong Kong, China
Duration: 18 Dec 201021 Dec 2010

Publication series

NameProceedings - 2010 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2010

Conference

Conference2010 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2010
Country/TerritoryChina
CityHong Kong
Period18/12/1021/12/10

Keywords

  • Biological pathway visualization
  • Cellular metabolism atlas
  • Graph complexity reducing algorithm
  • Metabolic network
  • Peripheral node abstraction

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