ArticlePlant physiology2015
Inference and Prediction of Metabolic Network Fluxes.
Article in Plant physiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 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
27 citing papers in PubMed.
- Plasticity of metabolism in plants.The Plant journal : for cell and molecular biology · 2026Review
- Constraint-based metabolic modeling reveals metabolic properties underpinning the unprecedented growth of Chlorella ohadii.The New phytologist · 2025Article
- Metabolic modeling identifies determinants of thermal growth responses in Arabidopsis thaliana.The New phytologist · 2025Article
- Maximizing multi-reaction dependencies provides more accurate and precise predictions of intracellular fluxes than the principle of parsimony.PLoS computational biology · 2023Article
- Analysis of companion cell and phloem metabolism using a transcriptome-guided model of Arabidopsis metabolism.Plant physiology · 2023Article
- Characterization of effects of genetic variants via genome-scale metabolic modelling.Cellular and molecular life sciences : CMLS · 2021Review
- Central Metabolism in Mammals and Plants as a Hub for Controlling Cell Fate.Antioxidants & redox signaling · 2021Review
- Environment-coupled models of leaf metabolism.Biochemical Society transactions · 2021Review
- An Early Stage Researcher's Primer on Systems Medicine Terminology.Network and systems medicine · 2021Review
- Advances in flux balance analysis by integrating machine learning and mechanism-based models.Computational and structural biotechnology journal · 2021Review
- The Contribution of Metabolomics to Systems Biology: Current Applications Bridging Genotype and Phenotype in Plant Science.Advances in experimental medicine and biology · 2021Article
- Current Challenges in Plant Systems Biology.Advances in experimental medicine and biology · 2021Article
- Leaf Energy Balance Requires Mitochondrial Respiration and Export of Chloroplast NADPH in the Light.Plant physiology · 2019Article
- A Genome-Scale Metabolic Model of Soybean (Plant physiology · 2019Article
- Computational Approaches to Design and Test Plant Synthetic Metabolic Pathways.Plant physiology · 2019Review
- Malate valves: old shuttles with new perspectives.Plant biology (Stuttgart, Germany) · 2019Review
- Flux prediction using artificial neural network (ANN) for the upper part of glycolysis.PloS one · 2019Article
- Advances in metabolic flux analysis toward genome-scale profiling of higher organisms.Bioscience reports · 2018Review
- Plant genome and transcriptome annotations: from misconceptions to simple solutions.Briefings in bioinformatics · 2018Article
- Improved chloroplast energy balance during water deficit enhances plant growth: more crop per drop.Journal of experimental botany · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this Update, we cover the basic principles of the estimation and prediction of the rates of the many interconnected biochemical reactions that constitute plant metabolic networks. This includes metabolic flux analysis approaches that utilize the rates or patterns of redistribution of stable isotopes of carbon and other atoms to estimate fluxes, as well as constraints-based optimization approaches such as flux balance analysis. Some of the major insights that have been gained from analysis of fluxes in plants are discussed, including the functioning of metabolic pathways in a network context, the robustness of the metabolic phenotype, the importance of cell maintenance costs, and the mechanisms that enable energy and redox balancing at steady state. We also discuss methodologies to exploit 'omic data sets for the construction of tissue-specific metabolic network models and to constrain the range of permissible fluxes in such models. Finally, we consider the future directions and challenges faced by the field of metabolic network flux phenotyping.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.