All Outputs (12)

Predicting bioactivity of antibiotic metabolites by molecular docking and dynamics (2023)
Journal Article
Chio, H., Guest, E. E., Hobman, J. L., Dottorini, T., Hirst, J. D., & Stekel, D. J. (2023). Predicting bioactivity of antibiotic metabolites by molecular docking and dynamics. Journal of Molecular Graphics and Modelling, 123, Article 108508. https://doi.org/10.1016/j.jmgm.2023.108508

Antibiotics enter the environment through waste streams, where they can exert selective pressure for antimicrobial resistance in bacteria. However, many antibiotics are excreted as partly metabolized forms, or can be subject to partial breakdown in w... Read More about Predicting bioactivity of antibiotic metabolites by molecular docking and dynamics.

The role of multisystemic resilience in fostering critical agency: UK adolescents during the COVID-19 Pandemic (2023)
Journal Article
Weidman, S., Levine, D. T., Louwagie, F., Blackmore, K., Theron, L. C., & Stekel, D. J. (in press). The role of multisystemic resilience in fostering critical agency: UK adolescents during the COVID-19 Pandemic. Current Psychology, https://doi.org/10.1007/s12144-023-04578-1

Critical agency (CA) refers to an individual’s feeling of power in relation to social inequalities. Research has demonstrated that high CA is associated with positive adolescent outcomes, however, less is known about what supports are important for i... Read More about The role of multisystemic resilience in fostering critical agency: UK adolescents during the COVID-19 Pandemic.

Multidrug-Resistant ESBL-Producing E. coli in Clinical Samples from the UK (2023)
Journal Article
Ibrahim, D. R., Dodd, C. E. R., Stekel, D. J., Meshioye, R. T., Diggle, M., Lister, M., & Hobman, J. L. (2023). Multidrug-Resistant ESBL-Producing E. coli in Clinical Samples from the UK. Antibiotics, 12(1), Article 169. https://doi.org/10.3390/antibiotics12010169

Globally, cephalosporin therapy failure is a serious problem for infection control. One causative agent of cephalosporin-resistant infections is multidrug-resistant (MDR) E. coli producing extended-spectrum β-lactamases (ESBLs) and/or plasmid-encoded... Read More about Multidrug-Resistant ESBL-Producing E. coli in Clinical Samples from the UK.

Antimicrobial resistance in dairy slurry tanks: a critical point for measurement and control (2022)
Journal Article
Baker, M., Williams, A. D., Hooton, S. P., Helliwell, R., King, E., Dodsworth, T., …Stekel, D. J. (2022). Antimicrobial resistance in dairy slurry tanks: a critical point for measurement and control. Environment International, 169, Article 107516. https://doi.org/10.1016/j.envint.2022.107516

Waste from dairy production is one of the largest sources of contamination from antimicrobial resistant bacteria (ARB) and genes (ARGs) in many parts of the world. However, studies to date do not provide necessary evidence to inform antimicrobial res... Read More about Antimicrobial resistance in dairy slurry tanks: a critical point for measurement and control.

Whole-genome sequencing and gene sharing network analysis powered by machine learning identifies antibiotic resistance sharing between animals, humans and environment in livestock farming (2022)
Journal Article
Peng, Z., Maciel-Guerra, A., Baker, M., Zhang, X., Hu, Y., Wang, W., …Dottorini, T. (2022). Whole-genome sequencing and gene sharing network analysis powered by machine learning identifies antibiotic resistance sharing between animals, humans and environment in livestock farming. PLoS Computational Biology, 18(3), Article e1010018. https://doi.org/10.1371/journal.pcbi.1010018

Anthropogenic environments such as those created by intensive farming of livestock, have been proposed to provide ideal selection pressure for the emergence of antimicrobial-resistant Escherichia coli bacteria and antimicrobial resistance genes (ARGs... Read More about Whole-genome sequencing and gene sharing network analysis powered by machine learning identifies antibiotic resistance sharing between animals, humans and environment in livestock farming.

A Model to Investigate the Impact of Farm Practice on Antimicrobial Resistance in UK Dairy Farms (2021)
Journal Article
Lanyon, C. W., King, J. R., Stekel, D. J., & Gomes, R. L. (2021). A Model to Investigate the Impact of Farm Practice on Antimicrobial Resistance in UK Dairy Farms. Bulletin of Mathematical Biology, 83(4), Article 36. https://doi.org/10.1007/s11538-021-00865-9

© 2021, The Author(s). The ecological and human health impact of antibiotic use and the related antimicrobial resistance (AMR) in animal husbandry is poorly understood. In many countries, there has been considerable pressure to reduce overall antibio... Read More about A Model to Investigate the Impact of Farm Practice on Antimicrobial Resistance in UK Dairy Farms.

Towards a general model for predicting minimal metal concentrations co-selecting for antibiotic resistance plasmids (2021)
Journal Article
Arya, S., Williams, A., Reina, S. V., Knapp, C. W., Kreft, J., Hobman, J. L., & Stekel, D. J. (2021). Towards a general model for predicting minimal metal concentrations co-selecting for antibiotic resistance plasmids. Environmental Pollution, 275, Article 116602. https://doi.org/10.1016/j.envpol.2021.116602

© 2021 Elsevier Ltd Many antibiotic resistance genes co-occur with resistance genes for transition metals, such as copper, zinc, or mercury. In some environments, a positive correlation between high metal concentration and high abundance of antibioti... Read More about Towards a general model for predicting minimal metal concentrations co-selecting for antibiotic resistance plasmids.

A generalised model for generalised transduction: the importance of co-evolution and stochasticity in phage mediated antimicrobial resistance transfer (2020)
Journal Article
Arya, S., Todman, H., Baker, M., Hooton, S., Millard, A., Kreft, J. U., …Stekel, D. J. (2020). A generalised model for generalised transduction: the importance of co-evolution and stochasticity in phage mediated antimicrobial resistance transfer. FEMS Microbiology Ecology, 96(7), https://doi.org/10.1093/femsec/fiaa100

© FEMS 2020. Antimicrobial resistance is a major global challenge. Of particular concern are mobilizable elements that can transfer resistance genes between bacteria, leading to pathogens with new combinations of resistance. To date, mathematical mod... Read More about A generalised model for generalised transduction: the importance of co-evolution and stochasticity in phage mediated antimicrobial resistance transfer.

First report of antimicrobial resistance pre-dates penicillin (2018)
Journal Article
Stekel, D. (2018). First report of antimicrobial resistance pre-dates penicillin. Nature, 562(7726), 192. https://doi.org/10.1038/d41586-018-06983-0

Clinical antimicrobial resistance was first reported four years before Alexander Fleming’s discovery of penicillin in 1928 [...]

Reconstructing promoter activity from Lux bioluminescent reporters (2017)
Journal Article
Iqbal, M., Doherty, N., Page, A. M., Qazi, S. N., Ajmera, I., Lund, P. A., …Stekel, D. J. (2017). Reconstructing promoter activity from Lux bioluminescent reporters. PLoS Computational Biology, 13(9), Article e1005731. https://doi.org/10.1371/journal.pcbi.1005731

The bacterial Lux system is used as a gene expression reporter. It is fast, sensitive and non-destructive, enabling high frequency measurements. Originally developed for bacterial cells, it has also been adapted for eukaryotic cells, and can be used... Read More about Reconstructing promoter activity from Lux bioluminescent reporters.

Mathematical modelling of antimicrobial resistance in agricultural waste highlights importance of gene transfer rate (2016)
Journal Article
Baker, M., Hobman, J. L., Dodd, C. E., Ramsden, S. J., & Stekel, D. J. (2016). Mathematical modelling of antimicrobial resistance in agricultural waste highlights importance of gene transfer rate. FEMS Microbiology Ecology, 92(4), Article fiw040. https://doi.org/10.1093/femsec/fiw040

Antimicrobial resistance is of global concern. Most antimicrobial use is in agriculture; manures and slurry are especially important because they contain a mix of bacteria, including potential pathogens, antimicrobial resistance genes and antimicrobi... Read More about Mathematical modelling of antimicrobial resistance in agricultural waste highlights importance of gene transfer rate.

A Bayesian approach to analyzing phenotype microarray data enables estimation of microbial growth parameters (2016)
Journal Article
Gerstgrasser, M., Nicholls, S., Stout, M., Smart, K., Powell, C., Kypraios, T., & Stekel, D. J. (2016). A Bayesian approach to analyzing phenotype microarray data enables estimation of microbial growth parameters. Journal of Bioinformatics and Computational Biology, 14(03), 1-23. https://doi.org/10.1142/S0219720016500074

Biolog phenotype microarrays enable simultaneous, high throughput analysis of cell cultures in different environments. The output is high-density time-course data showing redox curves (approximating growth) for each experimental condition. The softwa... Read More about A Bayesian approach to analyzing phenotype microarray data enables estimation of microbial growth parameters.