Evidence map›Paper›PMID 40365111›Full record

ArticleBioinformatics advances2025

diel_models: a python package for systematic integration of day-night cycles into plant genome-scale metabolic models.

Luciana Martins, João Capela, Emanuel Cunha, Marta Sampaio, Oscar Dias

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Article in Bioinformatics advances, 2025. 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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5 · Who and what money

Authors and funding

5 authors.

Luciana MartinsCentre of Biological Engineering, University of Minho, Braga 4710-057, Portugal.
João CapelaCentre of Biological Engineering, University of Minho, Braga 4710-057, Portugal.
Emanuel CunhaCentre of Biological Engineering, University of Minho, Braga 4710-057, Portugal.
Marta SampaioCentre of Biological Engineering, University of Minho, Braga 4710-057, Portugal.
Oscar DiasCentre of Biological Engineering, University of Minho, Braga 4710-057, Portugal.ORCID https://orcid.org/0000-0002-1765-7178

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Summary: In recent years, genome-scale metabolic models have become indispensable tools for studying complex metabolic processes occurring within living organisms. Understanding plants' metabolic behaviour under diel cycles (24-h day-night cycles) is essential to explain their adaptive strategies to different light conditions. However, integrating these cycles in plant GEMs is complex, laborious, time-consuming, and not systematized. Here, we present Availability and implementation: The code is freely available at https://github.com/BioSystemsUM/diel_models.git and can be installed using the command pip install diel_models.

Identifiers

PMID40365111
PMCPMC12070391

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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.