Evidence map›Paper›PMID 37410779›Full record

ArticlePLoS computational biology2023

Optimal evaluation of energy yield and driving force in microbial metabolic pathway variants.

Ahmed Taha, Mauricio Patón, David R Penas, Julio R Banga, Jorge Rodríguez

Abstract read
In one paragraph

Article in PLoS computational biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

3 citing papers in PubMed.

  1. Microbial Metabolism: Primary and Secondary Metabolites.Progress in molecular and subcellular biology · 2026
    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

5 authors.

Ahmed TahaDepartment of Chemical Engineering, Research and Innovation Center on CO2 and H2 (RICH) Khalifa University, Abu Dhabi, United Arab Emirates.
Mauricio PatónDepartment of Chemical Engineering, Research and Innovation Center on CO2 and H2 (RICH) Khalifa University, Abu Dhabi, United Arab Emirates.ORCID 0000-0002-1869-4448
David R PenasComputational Biology Lab, MBG-CSIC (Spanish National Research Council), Pontevedra, Galicia, Spain.
Julio R BangaComputational Biology Lab, MBG-CSIC (Spanish National Research Council), Pontevedra, Galicia, Spain.ORCID 0000-0002-4245-0320
Jorge RodríguezDepartment of Chemical Engineering, Research and Innovation Center on CO2 and H2 (RICH) Khalifa University, Abu Dhabi, United Arab Emirates.ORCID 0000-0002-5936-9676

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work presents a methodology to evaluate the bioenergetic feasibility of alternative metabolic pathways for a given microbial conversion, optimising their energy yield and driving forces as a function of the concentration of metabolic intermediates. The tool, based on thermodynamic principles and multi-objective optimisation, accounts for pathway variants in terms of different electron carriers, as well as energy conservation (proton translocating) reactions within the pathway. The method also accommodates other constraints, some of them non-linear, such as the balance of conserved moieties. The approach involves the transformation of the maximum energy yield problem into a multi-objective mixed-integer linear optimisation problem which is then subsequently solved using the epsilon-constraint method, highlighting the trade-off between yield and rate in metabolic reactions. The methodology is applied to analyse several pathway alternatives occurring during propionate oxidation in anaerobic fermentation processes, as well as to the reverse TCA cycle pathway occurring during autotrophic microbial CO2 fixation. The results obtained using the developed methodology match previously reported literature and bring about insights into the studied pathways.

Indexed as

Citric Acid CycleMetabolic Networks and PathwaysEnergy MetabolismFermentationThermodynamics

Identifiers

PMID37410779
PMCPMC10353829

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Registered trials

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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.