Evidence map›Paper›PMID 29552648›Full record

ReviewSynthetic and systems biotechnology2017

A review of computational tools for design and reconstruction of metabolic pathways.

Lin Wang, Satyakam Dash, Chiam Yu Ng, Costas D Maranas

Abstract readReview
In one paragraph

Review in Synthetic and systems biotechnology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
–field-weighted citation impact
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

43 citing papers in PubMed.

  1. Article
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  7. Quantification of total uncertainty in the physics-informed reconstruction of CVSim-6 physiology.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025
    Article
  8. Review
  9. Evolutionary engineering ofScience advances · 2024
    Article
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  19. From degrader to producer: reversing the gallic acid metabolism of Pseudomonas putida KT2440.International microbiology : the official journal of the Spanish Society for Microbiology · 2023
    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

4 authors.

Lin WangDepartment of Chemical Engineering, The Pennsylvania State University, University Park, PA, USA.
Satyakam DashDepartment of Chemical Engineering, The Pennsylvania State University, University Park, PA, USA.
Chiam Yu NgDepartment of Chemical Engineering, The Pennsylvania State University, University Park, PA, USA.
Costas D MaranasDepartment of Chemical Engineering, The Pennsylvania State University, University Park, PA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic pathways reflect an organism's chemical repertoire and hence their elucidation and design have been a primary goal in metabolic engineering. Various computational methods have been developed to design novel metabolic pathways while taking into account several prerequisites such as pathway stoichiometry, thermodynamics, host compatibility, and enzyme availability. The choice of the method is often determined by the nature of the metabolites of interest and preferred host organism, along with computational complexity and availability of software tools. In this paper, we review different computational approaches used to design metabolic pathways based on the reaction network representation of the database (i.e., graph or stoichiometric matrix) and the search algorithm (i.e., graph search, flux balance analysis, or retrosynthetic search). We also put forth a systematic workflow that can be implemented in projects requiring pathway design and highlight current limitations and obstacles in computational pathway design.

Identifiers

PMID29552648
PMCPMC5851934

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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.