Outputs (38)

Adapting OptCouple to identify strategies with increased product yields in community cohorts of E. coli (2025)
Journal Article
Twycross, J., & Pearcy, N. (2025). Adapting OptCouple to identify strategies with increased product yields in community cohorts of E. coli. Metabolites, 15(5: Comprehensive Insights into Metabolic Pathways: Genome-Scale Modeling Techniques), Article 309. https://doi.org/10.3390/metabo15050309

Microbes as chemical factories provide an alternative sustainable approach for producing platform chemicals. Until recently, most efforts have involved engineering heterologous pathways into a single microbial chassis to maximise its production of a... Read More about Adapting OptCouple to identify strategies with increased product yields in community cohorts of E. coli.

Automatically Labeling Cyber Threat Intelligence reports using Natural Language Processing (2023)
Presentation / Conference Contribution
Abdi, H., Bagley, S. R., Furnell, S., & Twycross, J. (2023, August). Automatically Labeling Cyber Threat Intelligence reports using Natural Language Processing. Presented at DocEng 2023 - Proceedings of the 2023 ACM Symposium on Document Engineering, Limerick, Ireland

Attribution provides valuable intelligence in the face of Advanced Persistent Threat (APT) attacks. By accurately identifying the culprits and actors behind the attacks, we can gain more insights into their motivations, capabilities, and potential fu... Read More about Automatically Labeling Cyber Threat Intelligence reports using Natural Language Processing.

The Lanthipeptide Synthetase-like Protein CA_C0082 Is an Effector of Agr Quorum Sensing in Clostridium acetobutylicum (2023)
Journal Article
Humphreys, J. R., Bean, Z., Twycross, J., & Winzer, K. (2023). The Lanthipeptide Synthetase-like Protein CA_C0082 Is an Effector of Agr Quorum Sensing in Clostridium acetobutylicum. Microorganisms, 11(6), Article 1460. https://doi.org/10.3390/microorganisms11061460

Lanthipeptide synthetases are present in all domains of life. They catalyze a crucial step during lanthipeptide biosynthesis by introducing thioether linkages during posttranslational peptide modification. Lanthipeptides have a wide range of function... Read More about The Lanthipeptide Synthetase-like Protein CA_C0082 Is an Effector of Agr Quorum Sensing in Clostridium acetobutylicum.

A genome-scale metabolic model of Cupriavidus necator H16 integrated with TraDIS and transcriptomic data reveals metabolic insights for biotechnological applications (2022)
Journal Article
Pearcy, N., Garavaglia, M., Millat, T., Gilbert, J. P., Song, Y., Hartman, H., Woods, C., Tomi-Andrino, C., Bommareddy, R. R., Cho, B. K., Fell, D. A., Poolman, M., King, J. R., Winzer, K., Twycross, J., & Minton, N. P. (2022). A genome-scale metabolic model of Cupriavidus necator H16 integrated with TraDIS and transcriptomic data reveals metabolic insights for biotechnological applications. PLoS Computational Biology, 18(5), Article e1010106. https://doi.org/10.1371/journal.pcbi.1010106

Exploiting biological processes to recycle renewable carbon into high value platform chemicals provides a sustainable and greener alternative to current reliance on petrochemicals. In this regard Cupriavidus necator H16 represents a particularly prom... Read More about A genome-scale metabolic model of Cupriavidus necator H16 integrated with TraDIS and transcriptomic data reveals metabolic insights for biotechnological applications.

Toward Full-Stack In Silico Synthetic Biology: Integrating Model Specification, Simulation, Verification, and Biological Compilation (2021)
Journal Article
Konur, S., Mierla, L., Fellermann, H., Ladroue, C., Brown, B., Wipat, A., Twycross, J., Dun, B. P., Kalvala, S., Gheorghe, M., & Krasnogor, N. (2021). Toward Full-Stack In Silico Synthetic Biology: Integrating Model Specification, Simulation, Verification, and Biological Compilation. ACS Synthetic Biology, 10(8), 1931-1945. https://doi.org/10.1021/acssynbio.1c00143

We present the Infobiotics Workbench (IBW), a user-friendly, scalable, and integrated computational environment for the computer-aided design of synthetic biological systems. It supports an iterative workflow that begins with specification of the des... Read More about Toward Full-Stack In Silico Synthetic Biology: Integrating Model Specification, Simulation, Verification, and Biological Compilation.

Engineering improved ethylene production: Leveraging systems Biology and adaptive laboratory evolution (2021)
Journal Article
Vaud, S., Pearcy, N., Hanževački, M., Van Hagen, A. M., Abdelrazig, S., Safo, L., Ehsaan, M., Jonczyk, M., Millat, T., Craig, S., Spence, E., Fothergill, J., Bommareddy, R. R., Colin, P.-Y., Twycross, J., Dalby, P., Minton, N., Jäger, C. M., Kim, D.-H., Yu, J., …Bryan, S. J. (2021). Engineering improved ethylene production: Leveraging systems Biology and adaptive laboratory evolution. Metabolic Engineering, 67, 308-320. https://doi.org/10.1016/j.ymben.2021.07.001

Ethylene is a small hydrocarbon gas widely used in the chemical industry. Annual worldwide production currently exceeds 150 million tons, producing considerable amounts of CO2 contributing to climate change. The need for a sustainable alternative is... Read More about Engineering improved ethylene production: Leveraging systems Biology and adaptive laboratory evolution.

Microarray Feature Selection and Dynamic Selection of Classifiers for Early Detection of Insect Bite Hypersensitivity in Horses (2019)
Presentation / Conference Contribution
Maciel Guerra, A., Figueredo, G. P., Von Zuben, F., Marti, E., Twycross, J., & Alcocer, M. J. (2019, June). Microarray Feature Selection and Dynamic Selection of Classifiers for Early Detection of Insect Bite Hypersensitivity in Horses. Presented at 2019 IEEE Congress on Evolutionary Computation (CEC), Wellington, New Zealand

Microarrays can be employed to better characterise allergies, as interactions between antibodies and allergens in mammals can be monitored. Once the joint dynamics of these elements in both healthy and diseased animals are understood, a model to pred... Read More about Microarray Feature Selection and Dynamic Selection of Classifiers for Early Detection of Insect Bite Hypersensitivity in Horses.

Gsmodutils: a python based framework for test-driven genome scale metabolic model development (2019)
Journal Article
Gilbert, J., Pearcy, N., Norman, R., Millat, T., Winzer, K., King, J., Hodgman, C., Minton, N., & Twycross, J. (2019). Gsmodutils: a python based framework for test-driven genome scale metabolic model development. Bioinformatics, 35(18), 3397-3403. https://doi.org/10.1093/bioinformatics/btz088

© 2019 The Author(s) 2019. Published by Oxford University Press. Motivation: Genome scale metabolic models (GSMMs) are increasingly important for systems biology and metabolic engineering research as they are capable of simulating complex steady-stat... Read More about Gsmodutils: a python based framework for test-driven genome scale metabolic model development.

Gsmodutils: A python based framework for test-driven genome scale metabolic model development (2018)
Other
Gilbert, J. P., Pearcy, N., Norman, R., Millat, T., Winzer, K., King, J., Hodgman, C., Minton, N., & Twycross, J. (2018). Gsmodutils: A python based framework for test-driven genome scale metabolic model development

Motivation Genome scale metabolic models (GSMMs) are increasingly important for systems biology and metabolic engineering research as they are capable of simulating complex steady-state behaviour. Constraints based models of this form can include tho... Read More about Gsmodutils: A python based framework for test-driven genome scale metabolic model development.

From clusters to queries: exploiting uncertainty in the modularity landscape of complex networks (2018)
Presentation / Conference Contribution
Gilbert, J. P., & Twycross, J. From clusters to queries: exploiting uncertainty in the modularity landscape of complex networks. Presented at 14th International Workshop on Mining and Learning with Graphs

Uncovering latent community structure in complex networks is a field that has received an enormous amount of attention. Unfortunately, whilst potentially very powerful, unsupervised methods for uncovering labels based on topology alone has been shown... Read More about From clusters to queries: exploiting uncertainty in the modularity landscape of complex networks.