Evidence map›Paper›PMID 38978715›Full record

ArticleFrontiers in bioengineering and biotechnology2024

Computer-aided design and implementation of efficient biosynthetic pathways to produce high added-value products derived from tyrosine in

Sofia Ferreira, Alexandra Balola, Anastasia Sveshnikova, Vassily Hatzimanikatis, Paulo Vilaça, Paulo Maia, Rafael Carreira, Ruth Stoney, Pablo Carbonell, Caio Silva Souza and 4 more

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Design biology and mind-body health.Journal, genetic engineering & biotechnology · 2025
    Review
  3. Review
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

14 authors.

Sofia FerreiraSystems and Synthetic Biology Laboratory, ITQB Nova-Instituto de Tecnologia Química e Biológica António Xavier, Oeiras, Portugal.
Alexandra BalolaSystems and Synthetic Biology Laboratory, ITQB Nova-Instituto de Tecnologia Química e Biológica António Xavier, Oeiras, Portugal.
Anastasia SveshnikovaLaboratory of Computational Systems Biotechnology, École Polytechnique Fédérale de Lausanne, EPFL, Lausanne, Switzerland.
Vassily HatzimanikatisLaboratory of Computational Systems Biotechnology, École Polytechnique Fédérale de Lausanne, EPFL, Lausanne, Switzerland.
Paulo VilaçaSilicoLife-Computational Biology Solutions for the Life Sciences, Braga, Portugal.
Paulo MaiaSilicoLife-Computational Biology Solutions for the Life Sciences, Braga, Portugal.
Rafael CarreiraSilicoLife-Computational Biology Solutions for the Life Sciences, Braga, Portugal.
Ruth StoneyManchester Institute of Biotechnology, School of Chemistry, Faculty of Science and Engineering, University of Manchester, Manchester, United Kingdom.
Pablo CarbonellInstitute of Industrial Control Systems and Computing (AI2), Universitat Politècnica de València (UPV), Valencia, Spain.
Caio Silva SouzaProtein Modelling Laboratory, ITQB Nova-Instituto de Tecnologia Química e Biológica António Xavier, Oeiras, Portugal.
João CorreiaProtein Modelling Laboratory, ITQB Nova-Instituto de Tecnologia Química e Biológica António Xavier, Oeiras, Portugal.
Diana LousaProtein Modelling Laboratory, ITQB Nova-Instituto de Tecnologia Química e Biológica António Xavier, Oeiras, Portugal.
Cláudio M SoaresProtein Modelling Laboratory, ITQB Nova-Instituto de Tecnologia Química e Biológica António Xavier, Oeiras, Portugal.
Isabel RochaSystems and Synthetic Biology Laboratory, ITQB Nova-Instituto de Tecnologia Química e Biológica António Xavier, Oeiras, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Developing efficient bioprocesses requires selecting the best biosynthetic pathways, which can be challenging and time-consuming due to the vast amount of data available in databases and literature. The extension of the shikimate pathway for the biosynthesis of commercially attractive molecules often involves promiscuous enzymes or lacks well-established routes. To address these challenges, we developed a computational workflow integrating enumeration/retrosynthesis algorithms, a toolbox for pathway analysis, enzyme selection tools, and a gene discovery pipeline, supported by manual curation and literature review. Our focus has been on implementing biosynthetic pathways for tyrosine-derived compounds, specifically L-3,4-dihydroxyphenylalanine (L-DOPA) and dopamine, with significant applications in health and nutrition. We selected one pathway to produce L-DOPA and two different pathways for dopamine-one already described in the literature and a novel pathway. Our goal was either to identify the most suitable gene candidates for expression in

Indexed as

bioprocessesbiosynthetic pathwayscomputational toolsdopamineEscherichia coliL-DOPApathway designretrobiosynthesis algorithms

Identifiers

PMID38978715
PMCPMC11228882

What OpenQuestion holds

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Registered trials

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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.