An efficient algorithm for de novo predictions of biochemical pathways between chemical compounds

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An efficient algorithm for de novo predictions of biochemical pathways between chemical compounds is …
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scholarly articleQ13442814

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P8978DBLP publication IDjournals/bmcbi/NakamuraHSSS12
P6179Dimensions Publication ID1078668130
P356DOI10.1186/1471-2105-13-S17-S8
P2888exact matchhttps://scigraph.springernature.com/pub.10.1186/1471-2105-13-s17-s8
P932PMC publication ID3521390
P698PubMed publication ID23282285

P50authorYutaka SaitoQ57078016
P2093author name stringKengo Sato
Yasubumi Sakakibara
Tsuyoshi Hachiya
Masaomi Nakamura
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P275copyright licenseCreative Commons Attribution 2.0 GenericQ19125117
P6216copyright statuscopyrightedQ50423863
P304page(s)S8
P577publication date2012-12-13
P1433published inBMC BioinformaticsQ4835939
P1476titleAn efficient algorithm for de novo predictions of biochemical pathways between chemical compounds
P478volume13 Suppl 17

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cites work (P2860)
Q52350929A review of computational tools for design and reconstruction of metabolic pathways.
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Q42409414InCoB2012 Conference: from biological data to knowledge to technological breakthroughs
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Q38461960Metabolome-scale de novo pathway reconstruction using regioisomer-sensitive graph alignments
Q33760384Metabolome-scale prediction of intermediate compounds in multistep metabolic pathways with a recursive supervised approach.
Q28830284Simultaneous prediction of enzyme orthologs from chemical transformation patterns for de novo metabolic pathway reconstruction
Q41555681Supervised de novo reconstruction of metabolic pathways from metabolome-scale compound sets
Q92859995Transcriptomic Analysis Identifies RNA Binding Proteins as Putative Regulators of Myelopoiesis and Leukemia

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