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A web tool for executing low cost algorithms for metabolic pathway comparison based on graph similarity

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

1 Scopus citations

Abstract

Metabolic pathways contain a huge amount of information ready to be exploited. Metabolic Pathway comparison can help to evaluate evolutionary aspects, industrially important routes, or novel medicines. Pathway or graph comparison has been described to be NP. Here we present a web tool that runs low-cost algorithms proposed for pathway comparison between graphs representing metabolic pathways. The first algorithm converts the graph into a 1D structure and then generates alignment scores; while the second one details the similarities and differences between the input pathways. The tool proved to be a good source of criteria for the evaluation of metabolic pathways comparison. The simplification of the methods does not affect the significance of the similarity obtained. The tool can be accessed through the URL: ebro.ec.tec.ac.cr.

Original languageEnglish
Title of host publicationProceedings - 2019 7th International Engineering, Sciences and Technology Conference, IESTEC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages109-113
Number of pages5
ISBN (Electronic)9781728116914
DOIs
StatePublished - Oct 2019
Event7th International Engineering, Sciences and Technology Conference, IESTEC 2019 - Panama City, Panama
Duration: 9 Oct 201911 Oct 2019

Publication series

NameProceedings - 2019 7th International Engineering, Sciences and Technology Conference, IESTEC 2019

Conference

Conference7th International Engineering, Sciences and Technology Conference, IESTEC 2019
Country/TerritoryPanama
CityPanama City
Period9/10/1911/10/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Breadth-first traversal
  • Depth-first traversal
  • Metabolic pathways
  • Sequence alignments

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