%0 Journal Article %1 AbdAlgfoor:2017:Brief-Funct-Genomics:26969656 %A Abd Algfoor, Z %A Shahrizal Sunar, M %A Abdullah, A %A Kolivand, H %D 2017 %J Brief Funct Genomics %K go-term pathway review %N 2 %P 87-98 %R 10.1093/bfgp/elw002 %T Identification of metabolic pathways using pathfinding approaches: a systematic review %U https://www.ncbi.nlm.nih.gov/pubmed/26969656 %V 16 %X 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.

@article{AbdAlgfoor:2017:Brief-Funct-Genomics:26969656, abstract = {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.}, added-at = {2019-04-24T22:55:22.000+0200}, author = {Abd Algfoor, Z and Shahrizal Sunar, M and Abdullah, A and Kolivand, H}, biburl = {https://www.bibsonomy.org/bibtex/278a50119d61a684ecd81257c75aeeac1/marcsaric}, description = {Identification of metabolic pathways using pathfinding approaches: a systematic review. - PubMed - NCBI}, doi = {10.1093/bfgp/elw002}, interhash = {f44acf4606026d04076555f0330a3862}, intrahash = {78a50119d61a684ecd81257c75aeeac1}, journal = {Brief Funct Genomics}, keywords = {go-term pathway review}, month = {03}, number = 2, pages = {87-98}, pmid = {26969656}, timestamp = {2019-04-24T22:55:22.000+0200}, title = {Identification of metabolic pathways using pathfinding approaches: a systematic review}, url = {https://www.ncbi.nlm.nih.gov/pubmed/26969656}, volume = 16, year = 2017 }