World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
39
Citations
8852
World Ranking
7544
National Ranking
469

Overview

Neil Swainston is affiliated with Epoch BioDesign in the United Kingdom. Their research primarily falls within the broad field of Biochemistry, Genetics and Molecular Biology, with a significant focus on Molecular Biology. Other subfields of study include Computational Theory and Mathematics, Spectroscopy, Materials Chemistry, and Biomedical Engineering.

The scientist's work spans several main topics, with notable concentrations in Microbial Metabolic Engineering and Bioproduction, Gene Regulatory Network Analysis, and Computational Drug Discovery Methods. Additional research interests cover Metabolomics and Mass Spectrometry Studies, Bioinformatics and Genomic Networks, as well as Machine Learning applications within Materials Science and Mass Spectrometry Techniques and Applications.

Neil Swainston has contributed to the publication of numerous papers in various reputable scientific journals. Recent notable publications include:

  • SBML Level 3: an extensible format for the exchange and reuse of biological models (2020) in Molecular Systems Biology
  • The RESOLUTE consortium: unlocking SLC transporters for drug discovery (2020) in Nature Reviews Drug Discovery
  • Engineering Escherichia coli towards de novo production of gatekeeper (2S)-flavanones: naringenin, pinocembrin, eriodictyol and homoeriodictyol (2020) in Synthetic Biology
  • DeepGraphMolGen, a multi-objective, computational strategy for generating molecules with desirable properties: a graph convolution and reinforcement learning approach (2020) in Journal of Cheminformatics
  • Rapid prototyping of microbial production strains for the biomanufacture of potential materials monomers (2020) in Metabolic Engineering

Many of Swainston's papers have appeared frequently in a select group of publication venues. These include bioRxiv (Cold Spring Harbor Laboratory), Synthetic Biology, Molecular Systems Biology, Nature Reviews Drug Discovery, and the Journal of Cheminformatics.

The scientist has collaborated extensively with several frequent co-authors, including Douglas B. Kell, Soumitra Samanta, Pablo Carbonell, Valentin Zulkower, and Marina Wright Muelas, reflecting active engagement in collaborative research networks.

Best Publications

  • A community-driven global reconstruction of human metabolism

    Ines Thiele;Neil Swainston;Ronan M T Fleming;Andreas Hoppe

  • ChEBI in 2016: Improved services and an expanding collection of metabolites.

    Janna Hastings;Gareth Owen;Adriano Dekker;Marcus Ennis

  • A consensus yeast metabolic network reconstruction obtained from a community approach to systems biology

    Markus Herrgard;Neil Swainston;Paul Dobson;Warwick B. Dunn

  • Synthetic biology for the directed evolution of protein biocatalysts: navigating sequence space intelligently

    Andrew Currin;Neil Swainston;Philip J. Day;Douglas B. Kell

  • Recon 2.2: from reconstruction to model of human metabolism

    Neil Swainston;Kieran Smallbone;Hooman Hefzi;Paul D. Dobson

  • Growth control of the eukaryote cell: a systems biology study in yeast

    Juan I Castrillo;Leo A Zeef;David C Hoyle;Nianshu Zhang

  • Mass spectrometry tools and metabolite-specific databases for molecular identification in metabolomics

    Marie Brown;Warwick B. Dunn;P. Dobson;Y. Patel

  • SBML Level 3: an extensible format for the exchange and reuse of biological models

    Sarah M. Keating;Sarah M. Keating;Dagmar Waltemath;Matthias König;Fengkai Zhang

  • An automated Design-Build-Test-Learn pipeline for enhanced microbial production of fine chemicals

    Pablo Carbonell;Adrian J. Jervis;Christopher J. Robinson;Cunyu Yan

  • Membrane transporter engineering in industrial biotechnology and whole cell biocatalysis

    Douglas B. Kell;Neil Swainston;Pınar Pir;Stephen G. Oliver

  • Towards a genome-scale kinetic model of cellular metabolism

    Kieran Smallbone;Evangelos Simeonidis;Neil Swainston;Pedro Mendes;Pedro Mendes

  • Improving metabolic flux predictions using absolute gene expression data

    Dave Lee;Kieran Smallbone;Warwick B Dunn;Ettore Murabito

  • Large-scale generation of computational models from biochemical pathway maps

    Finja Büchel;Nicolas Rodriguez;Neil Swainston;Clemens Wrzodek

  • A community effort towards a knowledge-base and mathematical model of the human pathogen Salmonella Typhimurium LT2

    Ines Thiele;Daniel R Hyduke;Benjamin Steeb;Guy Fankam

  • Path2Models: large-scale generation of computational models from biochemical pathway maps

    Finja Buchel;Finja Buchel;Nicolas Rodriguez;Nicolas Rodriguez;Neil Swainston;Clemens Wrzodek

  • Identifiers for the 21st century : How to design, provision, and reuse persistent identifiers to maximize utility and impact of life science data

    Julie A. McMurry;Nick Juty;Niklas Blomberg;Tony Burdett

  • Further developments towards a genome-scale metabolic model of yeast

    Paul D. Dobson;Kieran Smallbone;Daniel Jameson;Evangelos Simeonidis

  • Integration of metabolic databases for the reconstruction of genome-scale metabolic networks

    Karin Radrich;Karin Radrich;Yoshimasa Tsuruoka;Yoshimasa Tsuruoka;Paul D. Dobson;Albert Gevorgyan;Albert Gevorgyan

  • Selenzyme: enzyme selection tool for pathway design

    Pablo Carbonell;Jerry Wong;Neil Swainston;Eriko Takano;Eriko Takano

  • A 'rule of 0.5' for the metabolite-likeness of approved pharmaceutical drugs.

    Steve O′Hagan;Neil Swainston;Julia Handl;Douglas B. Kell

  • Machine Learning of Designed Translational Control Allows Predictive Pathway Optimization in Escherichia coli

    Adrian J. Jervis;Pablo Carbonell;Maria Vinaixa;Mark S. Dunstan

  • The SuBliMinaL Toolbox: automating steps in the reconstruction of metabolic networks.

    Neil Swainston;Kieran Smallbone;Pedro Mendes;Douglas B. Kell

  • SBOL Visual: A Graphical Language for Genetic Designs

    Jacqueline Y. Quinn;Robert Sidney Cox;Aaron Adler;Jacob Beal

  • Bioinformatics for the synthetic biology of natural products: integrating across the Design–Build–Test cycle

    Pablo Carbonell;Andrew Currin;Adrian J. Jervis;Nicholas J. W. Rattray

  • SpeedyGenes: An improved gene synthesis method for the efficient production of error-corrected, synthetic protein libraries for directed evolution

    Andrew Currin;Neil Swainston;Philip J. Day;Douglas B. Kell

Frequent Co-Authors

Douglas B. Kell
Douglas B. Kell University of Liverpool
Pedro Mendes
Pedro Mendes University of Connecticut
Nigel S. Scrutton
Nigel S. Scrutton University of Manchester
Jean-Loup Faulon
Jean-Loup Faulon University of Paris-Saclay
Eriko Takano
Eriko Takano University of Manchester
Rainer Breitling
Rainer Breitling University of Manchester
Warwick B. Dunn
Warwick B. Dunn University of Liverpool
Nicolas Le Novère
Nicolas Le Novère Babraham Institute
Nicholas J. Turner
Nicholas J. Turner University of Manchester
Hans V. Westerhoff
Hans V. Westerhoff Vrije Universiteit Amsterdam

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