Imperial College London

DrPanteleimonTakis

Faculty of MedicineDepartment of Metabolism, Digestion and Reproduction

Research Associate
 
 
 
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Contact

 

p.takis Website

 
 
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Location

 

Institute of Reproductive and Developmental BiologyHammersmith Campus

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Summary

 

Summary

I am a postdoctoral research associate at the National Phenome Centre in the section of Bioanalytical Chemistry. My research interests focus on all aspects of NMR spectroscopy and its application to bio-analytical and metabolomics studies along with basic handling of mass spectrometry metabolomics data. Currently, I am working and interested in the development of NMR-based bio- chem- informatics software based upon signal processing etc. for the deconvolution of complex mixtures such as biofluids, aiming at the rapid assignment and quantification of diagnostic and prognostic markers for disease risk and personalized medicine. 

For more details about my work on NMR spectroscopy/computational developments for biophysics, metabolomics and bioanalytical chemistry research, see the publication, software and patent list below.

selected publications



  • Takis, P. G.*, Jimenez, B., Sands, C.J., Chekmeneva, E., Lewis. M.R. (2020) ‘SMolESY: an efficient and quantitative alternative to on-instrument macromolecular 1H-NMR signals suppression’, Chemical Science  (https://doi.org/10.1039/D0SC01421D) 
  • Takis, P. G., Ghini, V., Tenori, L., Turano, P., Luchinat, C. (2019) ‘Uniqueness of the NMR approach to metabolomics’, Trends in Analytical Chemistry (TrAC), 120, 115300 (https://doi.org/10.1016/j.trac.2018.10.036
  • Vignoli, A., Ghini, V., Meoni, G., Licari, C., Takis, P. G., Tenori, L., Turano, P., Luchinat, C. (2018) ‘High-throughput metabolomics by 1D NMR’, Angewandte Chemie Int. Ed., 58, 968-994 (https://doi.org/10.1002/anie.201804736)
  • Takis, P. G., Schäfer, H., Spraul, M., Luchinat, C. (2017) ‘Deconvoluting interrelationships between chemical shifts and concentrations in complex mixtures: a powerful biofluid analysis tool’, Nature Communications, 8, 1662 (https://doi.org/10.1038/s41467-017-01587-0)

    Highlighted in Chemistry World:
    https://www.chemistryworld.com/news/computational-method-challenges-nmr-metabolomics-dogma/4012076.article

Publications

Journals

de Silva TI, Liu G, Lindsey BB, et al., 2021, The impact of viral mutations on recognition by SARS-CoV-2 specific T cells., Iscience, Vol:24, ISSN:2589-0042, Pages:103353-103353

Wickenhagen A, Sugrue E, Lytras S, et al., 2021, A prenylated dsRNA sensor protects against severe COVID-19, Science, Vol:374, ISSN:0036-8075, Pages:579-+

Drake TM, Riad AM, Fairfield CJ, et al., 2021, Characterisation of in-hospital complications associated with COVID-19 using the ISARIC WHO Clinical Characterisation Protocol UK: a prospective, multicentre cohort study, The Lancet, Vol:398, ISSN:0140-6736, Pages:223-237

COVID-19 Host Genetics Initiative, 2021, Mapping the human genetic architecture of COVID-19, Nature, Vol:600, ISSN:0028-0836, Pages:472-477

Patents

Takis P, Lewis M, 2021, PROCESSING 1H-NMR SPECTRAL DATA

More Publications