Evidence map›Paper›PMID 25344492›Full record

ReviewThe Plant cell2014

Plant metabolic modeling: achieving new insight into metabolism and metabolic engineering.

Kambiz Baghalian, Mohammad-Reza Hajirezaei, Falk Schreiber

Open access · greenAbstract readReview
In one paragraph

Review in The Plant cell, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
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

23 citing papers in PubMed, 64 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Elucidating the Mesocarp Drupe Transcriptome of Açai (International journal of molecular sciences · 2023
    Article
  6. Exploring synergies between plant metabolic modelling and machine learning.Computational and structural biotechnology journal · 2022
    Review
  7. Article
  8. Article
  9. Recent Advances in Carbon and Nitrogen Metabolism in C3 Plants.International journal of molecular sciences · 2020
    Review
  10. Article
  11. Review
  12. Article
  13. Review
  14. Review
  15. Metabolic network modeling with model organisms.Current opinion in chemical biology · 2017
    Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
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

3 authors at 2 institutions in 3 countries.

Kambiz BaghalianLeibniz Institute of Plant Genetics and Crop Plant Research, D-06466 Gatersleben, Germany Institute of Computer Science, Martin Luther University Halle-Wittenberg, 06120 Halle, Germany College of Agriculture and Natural Resources, Islamic Azad University-Karaj Branch, Karaj 31485-313, Iran baghalian@ipk-gatersleben.de.
Mohammad-Reza HajirezaeiLeibniz Institute of Plant Genetics and Crop Plant Research, D-06466 Gatersleben, Germany.
Falk SchreiberInstitute of Computer Science, Martin Luther University Halle-Wittenberg, 06120 Halle, Germany Faculty of IT, Monash University, Clayton, VIC 3800, Australia.
Leibniz Institute of Plant Genetics and Crop Plant Research · DEMonash University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Models are used to represent aspects of the real world for specific purposes, and mathematical models have opened up new approaches in studying the behavior and complexity of biological systems. However, modeling is often time-consuming and requires significant computational resources for data development, data analysis, and simulation. Computational modeling has been successfully applied as an aid for metabolic engineering in microorganisms. But such model-based approaches have only recently been extended to plant metabolic engineering, mainly due to greater pathway complexity in plants and their highly compartmentalized cellular structure. Recent progress in plant systems biology and bioinformatics has begun to disentangle this complexity and facilitate the creation of efficient plant metabolic models. This review highlights several aspects of plant metabolic modeling in the context of understanding, predicting and modifying complex plant metabolism. We discuss opportunities for engineering photosynthetic carbon metabolism, sucrose synthesis, and the tricarboxylic acid cycle in leaves and oil synthesis in seeds and the application of metabolic modeling to the study of plant acclimation to the environment. The aim of the review is to offer a current perspective for plant biologists without requiring specialized knowledge of bioinformatics or systems biology.

Indexed as

Computer SimulationModels, BiologicalAdaptation, PhysiologicalComputational BiologyGenome, PlantMetabolic EngineeringMetabolic Networks and PathwaysPlantsSystems Biology

Identifiers

PMID25344492
PMCPMC4247579
OpenAlexW2070154722

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.