Articles

• Efficient learning in metabolic pathway designs through optimal assembling, 2019,
  Journal: IFAC-PapersOnLine, Number 26, Volume 52, Pages: 7- 12
  DOI: https://doi.org/10.1016/j.ifacol.2019.12.228
   Authors: Carbonell, Pablo; Jean-Loup Faulon; R. Breitling
  
• Highly multiplexed, fast and accurate nanopore sequencing for verification of synthetic DNA constructs and sequence libraries, 2019,
  Journal: Synthetic Biology, Number , Volume , Pages: -
  DOI: https://doi.org/10.1093/synbio/ysz025
   Authors: Andrew Currin; Neil Swainston; Mark Dunstan; Adrian Jervis; Mulherin, P.; Christopher Robinson; Sandra Taylor; Carbonell, Pablo; Katherine A. Hollywood; Cunyu Yan; Eriko Takano; Nigel S. Scrutton; R. Breitling
  
• Identification of major malate export systems in an engineered malate-producing Escherichia coli aided by substrate similarity search, 2019,
  Journal: Applied Microbiology and Biotechnology, Number , Volume 103, Pages: 9001- 9011
  DOI: https://doi.org/10.1007/s00253-019-10164-y
   Authors: Kurgan, Gavin; Kurgan, Logan; Schneider, Aidan; Onyeabor, Moses; Rodriguez-Sanchez, Yesenia; Taylor, Eric; Carbonell, Pablo; Martinez, Rodrigo; Xiaojian, Shi; Gu, Haiwei; Wang, Xuan
  
• Machine learning of designed translational control allows predictive pathway optimisation in Escherichia coli, 2019,
  Journal: ACS Synthetic Biology, Number , Volume 8, Pages: 127- 136
  DOI: https://doi.org/10.1021/acssynbio.8b00398
   Authors: Adrian Jervis; Carbonell, Pablo; Maria Vinaixa; Mark Dunstan; Katherine A. Hollywood; Christopher Robinson; Nicholas Rattray; Cunyu Yan; Neil Swainston; Andrew Currin; Rehana Sung; Helen Toogood; Sandra Taylor; Jean-Loup Fauon; R. Breitling; Eriko Takano;
  
• Opportunities at the intersection of synthetic biology, machine learning, and automation., 2019,
  Journal: ACS Synthetic Biology, Number 8, Volume , Pages: 1474- 1477
  DOI: https://doi.org/10.1021/acssynbio.8b00540
   Authors: Carbonell, Pablo; Radivojevic, Tijiana; Garcia-Martin, Hector
  
• Pathways to cellular supremacy in biocomputing, 2019,
  Journal: Nature Communications, Number 1, Volume 10, Pages: 5250-
  DOI: https://doi.org/10.1038/s41467-019-13232-z
   Authors: L. Grozinger; Thomas E. Gorochowski; Martyn Amos; Carbonell, Pablo; D. Oyarzún; Rudd Stoof; H. Fellermann; P. Zuliani; H. Tas; A. Goñi-Moreno
  
• RetroRules: a database of reaction rules for engineering biology, 2019,
  Journal: Nucleic Acids Research, Number D1, Volume 41, Pages: D1229- D1235
  DOI: https://doi.org/10.1093/nar/gky940
   Authors: Thomas Duigou; Melchior Du Lac; Carbonell, Pablo; Jean-Loup Fauon
  
• SelProm: A queryable and predictive expression vector selection tool for Escherichia coli, 2019,
  Journal: ACS Synthetic Biology, Number , Volume 8, Pages: 1478- 1483
  DOI: https://doi.org/10.1021/acssynbio.8b00399
   Authors: Adrian Jervis; Carbonell, Pablo; Sandra Taylor; Rehana Sung; Mark Dunstan; Christopher Robinson; R. Breitling; Eriko Takano; Nigel S. Scrutton
  
• An automated Design-Build-Test-Learn pipeline for enhanced microbial production of fine chemicals, 2018,
  Journal: Communications Biology, Number , Volume 1, Pages: 66-
  DOI: https://doi.org/10.1038/s42003-018-0076-9
   Authors: Carbonell, Pablo; Adrian Jervis; Christopher Robinson; Cunyu Yan; Neil Swainston; Maria Vinaixa; Katherine A. Hollywood; Andrew Currin; Nicholas Rattray; Sandra Taylor; Spiess, Reynard; Rehana Sung; Williams, Alan R; Fellos, Donal; Stanford, Natalie
  
• SynBiopython: an open-source software library for Synthetic Biology, 2021,
  Journal: Synthetic Biology, Number , Volume , Pages: ysab001-
  DOI: https://doi.org/10.1093/synbio/ysab001
   Authors: Yeoh, Jing Wui; Neil Swainston; Vegh, Peter; Zulkower, Valentin; Carbonell, Pablo; Holowko, Maciej B; Peddinti, Gopal; Poh, Chueh Loo
  
• Prototyping of microbial chassis for the biomanufacturing of high-value chemical targets, 2021,
  Journal: Biochemical Society Transactions, Number , Volume , Pages: -
  DOI: https://doi.org/10.1042/BST20200017
   Authors: Christopher Robinson; Jonathan Tellechea-Luzardo; Carbonell, Pablo; Adrian Jervis; Cunyu Yan; Katherine A. Hollywood; Mark Dunstan; Andrew Currin; Eriko Takano; Nigel S. Scrutton
  
• Rapid prototyping of microbial production strains for the biomanufacture of potential materials monomers, 2020,
  Journal: Metabolic Engineering, Number , Volume 60, Pages: 168- 182
  DOI: https://doi.org/10.1016/j.ymben.2020.04.008
   Authors: Christopher Robinson; Carbonell, Pablo; Adrian Jervis; Cunyu Yan; Katherine A. Hollywood; Mark Dunstan; Andrew Currin; Neil Swainston; Spiess, Reynard; Sandra Taylor; Mulherin, P.; Parker, Stephen; Rowe, William; Matthews, Nicholas E.; Malone, Kirk
  
• In silico design and automated learning to boost next-generation smart biomanufacturing, 2020,
  Journal: Synthetic Biology, Number 1, Volume 5, Pages: -
  DOI: https://doi.org/10.1093/synbio/ysaa020
   Authors: Carbonell, Pablo; Rosalind le Feuvre; Eriko Takano; Nigel S. Scrutton
  
• Extended metabolic biosensor design for dynamic pathway regulation of cell factories, 2020,
  Journal: iScience, Number 7, Volume 23, Pages: 1- 25
  DOI: https://doi.org/10.1016/j.isci.2020.101305
   Authors: Boada-Acosta, Yadira Fernanda; Vignoni, Alejandro; Picó, Jesús; Carbonell, Pablo
  
• Blood Glucose Estimation from Voice: First Review of Successes and Challenges, 2020,
  Journal: Journal of Voice, Number , Volume , Pages: -
  DOI: https://doi.org/10.1016/j.jvoice.2020.08.034
   Authors: Sidorova, Julia; Carbonell, Pablo; Cukic, Milena
  
• Automated engineering of synthetic metabolic pathways for efficient biomanufacturing, 2020,
  Journal: Metabolic Engineering, Number , Volume , Pages: -
  DOI: https://doi.org/10.1016/j.ymben.2020.11.012
   Authors: Carbonell, Pablo; Otero-Muras, Irene
  
• Selenzyme: Enzyme selection tool for pathway design, 2018,
  Journal: Bioinformatics, Number , Volume 34, Pages: 2153- 2154
  DOI: https://doi.org/10.1093/bioinformatics/bty065
   Authors: Carbonell, Pablo; Wong, Jerry; Neil Swainston; Eriko Takano; Turmner, Nicholas J; Nigel S. Scrutton; Kell, Douglas B; R. Breitling; Faulon, Jean-Loup
  
• RetroPath2.0: A retrosynthesis workflow for metabolic engineers, 2018,
  Journal: Metabolic Engineering, Number , Volume 45, Pages: 158- 170
  DOI: https://doi.org/10.1016/j.ymben.2017.12.002
   Authors: Delepine, B.; Thomas Duigou; Carbonell, Pablo; Faulon, Jean-Loup
  
• PartsGenie: an integrated tool for optimising and sharing synthetic biology parts, 2018,
  Journal: Bioinformatics, Number , Volume , Pages: -
  DOI: https://doi.org/10.1093/bioinformatics/bty105
   Authors: Neil Swainston; Mark Dunstan; Adrian Jervis; Christopher Robinson; Carbonell, Pablo; Williams, Alan R; Faulon, Jean-Loup; Nigel S. Scrutton; Kell, Douglas B
  
• Extended Metabolic Space Modeling, 2020,
  Journal: Synthetic Metabolic Pathways, Number 6, Volume Springer- ISBN 978-1-4939-7294-4, Pages: 83-
  DOI:
   Authors: Carbonell, Pablo; Delepine, B.; Faulon, Jean-Loup
  
• Synthetic biology design tools for metabolic engineering, 2021,
  Journal: Microbial Cell Factories Engineering for Production of Biomolecules, Number 5, Volume Academic Press Elsevier- ISBN 978-0-12-821477-0, Pages: 65-
  DOI:
   Authors: Carbonell, Pablo
  
• Hepatotoxicity prediction by systems biology modeling of disturbed metabolic pathways using gene expression data, 2018,
  Journal: Methods in Molecular Biology, volume "Computational Toxicology",, Number 23, Volume Springer- ISBN 978-1-4939-7899-1, Pages: 505- 518
  DOI:
   Authors: Lopez, Oriol; Pastor, Manuel; Sanz, Ferran; Carbonell, Pablo