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Identification of metabolic pathways using pathfinding approaches: a systematic review
Author(s) -
Zeyad Abd Algfoor,
Mohd Shahrizal Sunar,
Afnizanfaizal Abdullah,
Hoshang Kolivand
Publication year - 2016
Publication title -
briefings in functional genomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.22
H-Index - 67
eISSN - 2041-2647
pISSN - 2041-2649
DOI - 10.1093/bfgp/elw002
Subject(s) - pathfinding , identification (biology) , biology , computational biology , benchmarking , metabolic pathway , bioinformatics , computer science , graph , genetics , ecology , shortest path problem , gene , theoretical computer science , marketing , business
Metabolic pathways have become increasingly available for various microorganisms. Such pathways have spurred the development of a wide array of computational tools, in particular, mathematical pathfinding approaches. This article can facilitate the understanding of computational analysis of metabolic pathways in genomics. Moreover, stoichiometric and pathfinding approaches in metabolic pathway analysis are discussed. Three major types of studies are elaborated: stoichiometric identification models, pathway-based graph analysis and pathfinding approaches in cellular metabolism. Furthermore, evaluation of the outcomes of the pathways with mathematical benchmarking metrics is provided. This review would lead to better comprehension of metabolism behaviors in living cells, in terms of computed pathfinding approaches.

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