Literature DB >> 24131345

Retropath: automated pipeline for embedded metabolic circuits.

Pablo Carbonell1, Pierre Parutto, Claire Baudier, Christophe Junot, Jean-Loup Faulon.   

Abstract

Metabolic circuits are a promising alternative to other conventional genetic circuits as modular parts implementing functionalities required for synthetic biology applications. To date, metabolic design has been mainly focused on production circuits. Emergent applications such as smart therapeutics, however, require circuits that enable sensing and regulation. Here, we present RetroPath, an automated pipeline for embedded metabolic circuits that explores the circuit design space from a given set of specifications and selects the best circuits to implement based on desired constraints. Synthetic biology circuits embedded in a chassis organism that are capable of controlling the production, processing, sensing, and the release of specific molecules were enumerated in the metabolic space through a standard procedure. In that way, design and implementation of applications such as therapeutic circuits that autonomously diagnose and treat disease, are enabled, and their optimization is streamlined.

Mesh:

Substances:

Year:  2013        PMID: 24131345     DOI: 10.1021/sb4001273

Source DB:  PubMed          Journal:  ACS Synth Biol        ISSN: 2161-5063            Impact factor:   5.110


  23 in total

Review 1.  Synthetic metabolism: metabolic engineering meets enzyme design.

Authors:  Tobias J Erb; Patrik R Jones; Arren Bar-Even
Journal:  Curr Opin Chem Biol       Date:  2017-01-30       Impact factor: 8.822

Review 2.  Cell-free metabolic engineering: biomanufacturing beyond the cell.

Authors:  Quentin M Dudley; Ashty S Karim; Michael C Jewett
Journal:  Biotechnol J       Date:  2014-10-15       Impact factor: 4.677

Review 3.  Principles of genetic circuit design.

Authors:  Jennifer A N Brophy; Christopher A Voigt
Journal:  Nat Methods       Date:  2014-05       Impact factor: 28.547

Review 4.  Engineering biological systems using automated biofoundries.

Authors:  Ran Chao; Shekhar Mishra; Tong Si; Huimin Zhao
Journal:  Metab Eng       Date:  2017-06-07       Impact factor: 9.783

5.  SensiPath: computer-aided design of sensing-enabling metabolic pathways.

Authors:  Baudoin Delépine; Vincent Libis; Pablo Carbonell; Jean-Loup Faulon
Journal:  Nucleic Acids Res       Date:  2016-04-22       Impact factor: 16.971

6.  Implementing Multi-Enzyme Biocatalytic Systems Using Nanoparticle Scaffolds.

Authors:  Joyce C Breger; Gregory A Ellis; Scott A Walper; Kimihiro Susumu; Igor L Medintz
Journal:  Methods Mol Biol       Date:  2022

7.  Prediction of degradation pathways of phenolic compounds in the human gut microbiota through enzyme promiscuity methods.

Authors:  Daniel Hinojosa-Nogueira; Xabier Cendoya; Francesco Balzerani; Telmo Blasco; Sergio Pérez-Burillo; Iñigo Apaolaza; M Pilar Francino; José Ángel Rufián-Henares; Francisco J Planes
Journal:  NPJ Syst Biol Appl       Date:  2022-07-12

8.  XTMS: pathway design in an eXTended metabolic space.

Authors:  Pablo Carbonell; Pierre Parutto; Joan Herisson; Shashi Bhushan Pandit; Jean-Loup Faulon
Journal:  Nucleic Acids Res       Date:  2014-05-03       Impact factor: 16.971

Review 9.  Synthetic biology advances for pharmaceutical production.

Authors:  Rainer Breitling; Eriko Takano
Journal:  Curr Opin Biotechnol       Date:  2015-03-03       Impact factor: 9.740

Review 10.  Analytics for Metabolic Engineering.

Authors:  Christopher J Petzold; Leanne Jade G Chan; Melissa Nhan; Paul D Adams
Journal:  Front Bioeng Biotechnol       Date:  2015-09-07
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