Panteleimon Takis

Research Associate at the National Phenome Centre in the section of Bioanalytical Chemistry at Imperial College London

Schools

  • Imperial College London

Expertise

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Biography

Imperial College London

He is a postdoctoral research associate at the National Phenome Centre in the section of Bioanalytical Chemistry. His 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, he is 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.

Selected publications

  • Takis, P. G.*, Vuckovic, I., Tan, T., Denic, A., Lieske, J.C., Lewis, M.R., Macura, S. (2022) ‘NMRpQuant: an automated software for large scale urinary total protein quantification by one-dimensional 1H NMR profiles’, Bioinformatics
  • Correia, G.D.S., Takis, P. G., Sands, C.J., Kowalka, A.M., Tan, T., Turtle, L., Ho, A., Semple, M.G., Openshaw, P.J.M., Baillie, J.K., Takáts, Z., Lewis. M.R. (2022) ‘1H NMR Signals from Urine Excreted Protein Are a Source of Bias in Probabilistic Quotient Normalization’, Analytical Chemistry
  • Takis, P. G.*, Jimenez, B., Al-Saffar, N.M.S., Harvey, N., Misra, S., Chekmeneva, E., Lewis. M.R (2021) ‘A Computationally Lightweight Algorithm for Deriving Reliable Metabolite Panel Measurements from 1D 1H NMR’, Analytical Chemistry
  • 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., Schäfer, H., Spraul, M., Luchinat, C. (2017) ‘Deconvoluting interrelationships between chemical shifts and concentrations in complex mixtures: a powerful biofluid analysis tool’, Nature Communications

  • Corresponding author(s) †Highlighted in Chemistry World:

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