ReviewFrontiers in plant science2024
Development and applications of metabolic models in plant multi-omics research.
Review in Frontiers in plant science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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.
Who cites it
9 citing papers in PubMed.
- Predictive Algal Systems Biology: Integrating Omics, Genome-Scale Metabolic Models, and Machine Learning.Bioengineering (Basel, Switzerland) · 2026Review
- Plant Immunometabolism: Metabolic Reprogramming Linking Developmental Signaling and Defense Metabolites.International journal of molecular sciences · 2026Review
- Multi-Omics Integration Reveals Temporal Partitioning Between Metabolic Priming and Proliferative Expansion in PGPR-Treated Cherry Plants.International journal of molecular sciences · 2026Article
- Chemical Signaling and Metabolomic Crosstalk in Endophytic Fungi-Medicinal Plant Symbioses for Natural Product Discovery and Sustainable Bioproduction.Metabolites · 2026Review
- Harnessing endophytes and Multi-Omics for sustainable Colchicine biosynthesis.World journal of microbiology & biotechnology · 2026Review
- Precision breeding in a changing climate: unlocking resilience through omics and gene editing.Functional & integrative genomics · 2026Review
- Unlocking Plant Resilience: Metabolomic Insights into Abiotic Stress Tolerance in Crops.Metabolites · 2025Review
- Metabolomics and transcriptomics indicate the changes in medicinal components ofFrontiers in plant science · 2025Article
- Biophysical modelling as a tool for advancing plant science and engineering.Frontiers in plant science · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Plant growth and development are characterized by systematic and continuous processes, each involving intricate metabolic coordination mechanisms. Mathematical models are essential tools for investigating plant growth and development, metabolic regulation networks, and growth patterns across different stages. These models offer insights into secondary metabolism patterns in plants and the roles of metabolites. The proliferation of data related to plant genomics, transcriptomics, proteomics, and metabolomics in the last decade has underscored the growing importance of mathematical modeling in this field. This review aims to elucidate the principles and types of metabolic models employed in studying plant secondary metabolism, their strengths, and limitations. Furthermore, the application of mathematical models in various plant systems biology subfields will be discussed. Lastly, the review will outline how mathematical models can be harnessed to address research questions in this context.
Indexed as
Identifiers
What Socratic holds
Registered trials
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 Socratic graph.