(Q28478889)

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Differential producibility analysis (DPA) of transcriptomic data with metabolic networks: deconstructing the metabolic response of M. tuberculosis

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scholarly article

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Differential producibility analysis (DPA) of transcriptomic data with metabolic networks: deconstructing the metabolic response of M. tuberculosis (English)

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Mycobacterium tuberculosis

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Andrzej M. Kierzek

object named as

Andrzej M Kierzek

4

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Johnjoe McFadden

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Johnjoe McFadden

5

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author name string

Bhushan K Bonde

1

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Dany J V Beste

2

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Emma Laing

3

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language of work or name

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publication date

June 2011

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PLOS Computational Biology

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7

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e1002060

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6

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copyright license

Creative Commons Attribution 4.0 International

30 June 2011

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April 2022 Public Data File from Crossref

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Interpreting expression data with metabolic flux models: predicting Mycobacterium tuberculosis mycolic acid production

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Mycobacterial persistence requires the utilization of host cholesterol

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Role of cholesterol in Mycobacterium tuberculosis infection.

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inferred from PubMed ID database lookup

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based on heuristic

inferred from PubMed ID database lookup

Identifiers

10.1371/JOURNAL.PCBI.1002060

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journals/ploscb/BondeBLKM11

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DBLP Dataset 2021-01-02

28 January 2021

release_zeszrldrvzdrfpibvx7hovzhwi

1 reference

https://api.fatcat.wiki/v0/release/zeszrldrvzdrfpibvx7hovzhwi

24 November 2022

based on heuristic

mapped directly with Wikidata item

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