Evidence map›Paper›PMID 41627745›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

From Genome to Function: Metabolism-Wide Models of Lifecycle Stages of Parasites.

Bruno R Pinto, Gabriela T Montanaro, Mayke B Alencar, Milou Hoving, Jurgen R Haanstra, Ariel M Silber, Pranas Grigaitis

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Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Bruno R Pinto *Laboratory of Biochemistry of Trypanosomatids-LaBTryps, Department of Parasitology, Institute of Biomedical Science II-ICB II, University of São Paulo-USP, São Paulo, SP, Brazil.
Gabriela T Montanaro *Laboratory of Biochemistry of Trypanosomatids-LaBTryps, Department of Parasitology, Institute of Biomedical Science II-ICB II, University of São Paulo-USP, São Paulo, SP, Brazil.ORCID https://orcid.org/0000-0001-9282-1495
Mayke B AlencarLaboratory of Biochemistry of Trypanosomatids-LaBTryps, Department of Parasitology, Institute of Biomedical Science II-ICB II, University of São Paulo-USP, São Paulo, SP, Brazil.ORCID https://orcid.org/0000-0001-9145-7994
Milou HovingSystems Biology Lab, A-LIFE and AIMMS, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.ORCID https://orcid.org/0009-0007-5591-612X
Jurgen R HaanstraSystems Biology Lab, A-LIFE and AIMMS, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0001-9652-0219
Ariel M SilberLaboratory of Biochemistry of Trypanosomatids-LaBTryps, Department of Parasitology, Institute of Biomedical Science II-ICB II, University of São Paulo-USP, São Paulo, SP, Brazil.ORCID https://orcid.org/0000-0003-4528-4732
Pranas GrigaitisSystems Biology Lab, A-LIFE and AIMMS, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands. pranas.grigaitis@kit.edu.ORCID https://orcid.org/0000-0002-6379-7024

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolism is a complex network of biochemical reactions that cells use to obtain free energy transduced from nutrients and synthesize new cellular components. Understanding the wiring of metabolism can aid in metabolic engineering to boost certain metabolic functions, or, alternatively, inspire interventions to block undesired metabolism, for example, of parasites. The challenge is that interventions to metabolic networks should be studied in the context of the entire, extensive cellular metabolic networks. Incoming and outgoing fluxes may be readily measured but how fluxes are distributed within the metabolic network often remains a black box. Systems biology offers a toolset to shine light inside this black box: constraint-based metabolic models can predict intracellular flux distributions. But how to construct such a model? In this chapter, we will guide you through the steps to make a constraint-based model out of the genome sequence and demonstrate that it may be easier than it sounds. We provide a walkthrough of model construction, curation and validation-with a specific focus on protistan parasites and their lifecycle stages. While genomes can help to infer the entirety of metabolic potential encoded in the organism's genome (a so-called genome-scale metabolic model), cells do not necessarily express all metabolic enzymes simultaneously. This is particularly relevant for parasites as the different lifecycle stages rely on different sets of metabolic enzymes and host-imposed constraints. We discuss approaches to restrict the genome-wide network to become lifecycle stage specific and how you can test and use the resulting models.

Indexed as

Life Cycle StagesMetabolic Networks and PathwaysModels, BiologicalParasitesAnimalsSystems BiologyBiomass equationDry weightGenome-scale metabolic modelsGrowth-associated ATP maintenance (GAM)Non-growth-associated ATP maintenance (NGAM)Systems biology

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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.