Evidence map›Paper›PMID 24416282›Full record

ArticlePloS one2014

Combining chemoinformatics with bioinformatics: in silico prediction of bacterial flavor-forming pathways by a chemical systems biology approach "reverse pathway engineering".

Mengjin Liu, Bruno Bienfait, Oliver Sacher, Johann Gasteiger, Roland J Siezen, Arjen Nauta, Jan M W Geurts

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In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. From Charcuterie to Plant-Based: HarnessingFoods (Basel, Switzerland) · 2026
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  4. Molecular similarity: Theory, applications, and perspectives.Artificial intelligence chemistry · 2024
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  6. Article
  7. Chemistry in Times of Artificial Intelligence.Chemphyschem : a European journal of chemical physics and physical chemistry · 2020
    Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Mengjin LiuDepartment of Nutritional Sciences, FrieslandCampina, Amersfoort, The Netherlands ; Centre for Molecular and Biomolecular Informatics, Radboud University, Nijmegen, The Netherlands.
Bruno BienfaitMolecular Networks GmbH, Erlangen, Germany.
Oliver SacherMolecular Networks GmbH, Erlangen, Germany.
Johann GasteigerMolecular Networks GmbH, Erlangen, Germany ; Computer-Chemie-Centrum, University of Erlangen-Nürnberg, Erlangen, Germany.
Roland J SiezenCentre for Molecular and Biomolecular Informatics, Radboud University, Nijmegen, The Netherlands.
Arjen NautaDepartment of Nutritional Sciences, FrieslandCampina, Amersfoort, The Netherlands.
Jan M W GeurtsDepartment of Nutritional Sciences, FrieslandCampina, Amersfoort, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The incompleteness of genome-scale metabolic models is a major bottleneck for systems biology approaches, which are based on large numbers of metabolites as identified and quantified by metabolomics. Many of the revealed secondary metabolites and/or their derivatives, such as flavor compounds, are non-essential in metabolism, and many of their synthesis pathways are unknown. In this study, we describe a novel approach, Reverse Pathway Engineering (RPE), which combines chemoinformatics and bioinformatics analyses, to predict the "missing links" between compounds of interest and their possible metabolic precursors by providing plausible chemical and/or enzymatic reactions. We demonstrate the added-value of the approach by using flavor-forming pathways in lactic acid bacteria (LAB) as an example. Established metabolic routes leading to the formation of flavor compounds from leucine were successfully replicated. Novel reactions involved in flavor formation, i.e. the conversion of alpha-hydroxy-isocaproate to 3-methylbutanoic acid and the synthesis of dimethyl sulfide, as well as the involved enzymes were successfully predicted. These new insights into the flavor-formation mechanisms in LAB can have a significant impact on improving the control of aroma formation in fermented food products. Since the input reaction databases and compounds are highly flexible, the RPE approach can be easily extended to a broad spectrum of applications, amongst others health/disease biomarker discovery as well as synthetic biology.

Indexed as

Computer SimulationMetabolic Networks and PathwaysTasteAminobutyratesBacteriaCaproatesLeucineMethionineSulfhydryl CompoundsSulfidesSystems Biologyalpha-hydroxyisocaproic acidAminobutyratesCaproatesdimethyl sulfideLeucineMethioninemethylmercaptanSulfhydryl CompoundsSulfides

Identifiers

PMID24416282
PMCPMC3885609

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.