Dr Alessandro De Moura

Dr Alessandro De Moura


Dr Alessandro De Moura
Dr Alessandro De Moura

Contact Details

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Lecturer in Physics. Dr de Moura holds a PhD in Physics from Universidade Estadual de Campinas, Brazil.

Dr Moura has a background in dynamical systems and statistical physics. His research interests in these areas include transient chaos, nonhyperbolic chaotic scattering, and chaotic advection of flows. Since moving to Aberdeen, he has been applying physics and mathematics to understand fundamental biological processes, in collaborations with biologists in Aberdeen and elsewhere. Biological problems he is actively working on include: mathematical modelling of DNA replication, dynamics and regulation of protein synthesis in uni-cellular organisms, modelling the responses of pathogenic fungi species to combinations of stresses, homeostasis of bacteria, macromolecular dynamics in cellular membranes.



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Contributions to Journals


  • Fernandes, LD., Guseva, K. & De Moura, APS. (2017). 'Cooperative response and clustering: Consequences of membrane-mediated interactions among mechanosensitive channels'. Physical Review E, vol 96, no. 2, 022410.
    [Online] DOI: 10.1103/PhysRevE.96.022410
    [Online] AURA: Cooperative_response_and_clustering_Consequences_of_membrane...
  • Lowes, DA., Galley, HF., Moura, APS. & Webster, NR. (2017). 'Brief isoflurane anaesthesia affects differential gene expression, gene ontology and gene networks in rat brain'. Behavioural Brain Research, vol 317, pp. 453-460.
    [Online] DOI: 10.1016/j.bbr.2016.09.045
    [Online] AURA: BBR_Lowes_et_al_2016_accepted_version.pdf
  • Delgado-SanMartin, JA., Hare, JI., de Moura, APS., Yates, JWT. & Wang, E. (ed.) (2015). 'Oxygen-Driven Tumour Growth Model: A Pathology-Relevant Mathematical Approach'. PLoS Computational Biology , vol 11, no. 10, e1004550.
    [Online] DOI: 10.1371/journal.pcbi.1004550
    [Online] AURA: oxygen_driven_tumour_growth_model.PDF
  • Chandrasekaran, K., Kaloriti, D., Tillmann, AT., Yin, Z., Herrero De Dios, C., Jacobsen, MD., Belmonte, RC., Cameron, G., Haynes, K., Grebogi, C., de Moura, APS., Gow, NAR., Thiel, M., Quinn, J., Brown, AJP. & Romano, MC. (2015). 'Integrative Model of Oxidative Stress Adaptation in the Fungal Pathogen Candida albicans'. PLoS ONE, vol 10, no. 9, 0137750.
    [Online] DOI: 10.1371/journal.pone.0137750
    [Online] AURA: Integrative_Model_of_Oxidative_Stress.pdf
  • Rodrigues, CS., Chechkin, AV., Moura, APSD., Grebogi, C. & Klages, R. (2014). 'Diffusion in randomly perturbed dissipative dynamics'. Europhysics Letters, vol 108, no. 4, 40002.
    [Online] DOI: 10.1209/0295-5075/108/40002
  • De Moura, APS. (2014). 'Strange eigenmodes and chaotic advection in open fluid flows'. Europhysics Letters, vol 106, no. 3, 34002, pp. 1-6.
    [Online] DOI: 10.1209/0295-5075/106/34002
  • Müller, CA., Hawkins, M., Retkute, R., Malla, S., Wilson, R., Blythe, MJ., Nakato, R., Komata, M., Shirahige, K., de Moura, APS. & Nieduszynski, CA. (2014). 'The dynamics of genome replication using deep sequencing'. Nucleic Acids Research, vol 42, no. 1, e3.
    [Online] DOI: 10.1093/nar/gkt878
    [Online] AURA: nar.gkt878.full.pdf
  • Hawkins, M., Retkute, R., Müller, CA., Saner, N., Tanaka, TU., de Moura, APS. & Nieduszynski, CA. (2013). 'High-Resolution Replication Profiles Define the Stochastic Nature of Genome Replication Initiation and Termination'. Cell Reports, vol 5, no. 4, pp. 1132-1141.
    [Online] DOI: 10.1016/j.celrep.2013.10.014
    [Online] AURA: Hawkins_et_al._2013_High_Resolution_Replication_Profiles_Def...
  • Saner, N., Karschau, J., Natsume, T., Gierlinski, M., Retkute, R., Hawkins, M., Nieduszynski, CA., Blow, JJ., de Moura, APS. & Tanaka, TU. (2013). 'Stochastic association of neighboring replicons creates replication factories in budding yeast'. Journal of Cell Biology, vol 202, no. 7, pp. 1001-1012.
    [Online] DOI: 10.1083/jcb.201306143
    [Online] AURA: J_Cell_Biol_2013_Saner_1001_12.pdf
  • Ozyamak, E., de Almeida, C., de Moura, APS., Miller, S. & Booth, IR. (2013). 'Integrated stress response of Escherichia coli to methylglyoxal: transcriptional readthrough from the nemRA operon enhances protection through increased expression of glyoxalase I'. Molecular Microbiology, vol 88, no. 5, pp. 936-950.
    [Online] DOI: 10.1111/mmi.12234
    [Online] AURA: integrated_stress_response.pdf
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