Dr Hulkar Mamayusupova
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Email
hmamay@essex.ac.uk -
Location
Colchester Campus
Profile
Qualifications
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PhD University of Essex, (2014)
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MPhil University of Essex, (2009)
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BSc (Hons) Biochemistry Hartwick College, (2004)
Research and professional activities
Research interests
Molecular Signal Processing
Cells (prokaryotic/eukaryotic) utilise signalling pathways to process information at the molecular level. I have investigated and supported the research of theoretical nanoscale devices that operates based on this cellular signalling mechanisms using bacteria and neurons. Currently, I am interested in investigating how cells process molecular information leading to different states (e.g. healthy and unhealthy) to create computational models that support in vitro experimentation studies. This investigation requires the understanding and analysis of biological data (retrieved from databanks) to generate mathematical and computational models using MATLAB/Python.
Publications
Journal articles (1)
Secchi, A., Mamayusupova, H., Sami, S., Maidment, I., Coulton, S., Myint, PK. and Fox, C., (2022). A novel Artificial Intelligence-based tool to assess anticholinergic burden: a survey. Age and Ageing. 51 (8)
Reports and Papers (2)
Thorn, G., Clarkson, C., Rademacher, A., Mamayusupova, H., Schotta, G., Rippe, K. and Teif, V., (2021). DNA sequence-dependent formation of heterochromatin nanodomains
Clarkson, CT., Deeks, EA., Samarista, R., Mamayusupova, H., Zhurkin, VB. and Teif, VB., (2019). CTCF-dependent chromatin boundaries formed by asymmetric nucleosome arrays with decreased linker length
