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Takis, Panteleimon G.

https://orcid.org/0000-0002-7224-0412

Mayo Clinic

University of Ioannina

Citations 3

A Universal Framework for Blood Ionome Extraction and Intelligent Quality Control in 1 H NMR Metabolomics
Vučković, Ivan, Papadimitriou, Eirini , Παπακωνσταντίνου, Κωνσταντίνος , Taki, Vasiliki, Louka, Alexandra , Papaloukas, Costas, Stalikas, Constantine D. , Giormezis, Nikolaos , Paliogianni, Fotini , Stebbing, Justin , Takis, Panteleimon G. , Vučković, Ivan , Stalikas, Constantine D , Takis, Panteleimon G , Vuckovic, Ivan , Stebbing, Justin , Theodorou, Anastasios A. , Papakonstantinou, Konstantinos, Papaloukas, Costas L. , Lanza, Ian R.

Analytical Chemistry | April 21, 2026 | Volume: 98 | Issue: 17 | Pages: 12647-12659

10.1021/acs.analchem.5c08255 Get It

Toward Absolute Quantification of Soluble Proteins via Proton Nuclear Magnetic Resonance Spectroscopy: Total Protein Concentration in Blood Plasma
Takis, Panteleimon G. , Vučković, Ivan , Kowalka, Anna M. , Tan, Tricia , Meloche, Ryan , Macura, Slobodan , Macura, Slobodan I , Vuckovic, Ivan , Takis, Panteleimon G , Šuvakov, Milovan , Lanza, Ian R.

Analytical Chemistry | October 4, 2024 | Volume: 96 | Issue: 41 | Pages: 16162-16169

10.1021/acs.analchem.4c02711 Get It

NMRpQuant: an automated software for large scale urinary total protein quantification by one-dimensional 1H NMR profiles
Takis, Panteleimon G. , Vučković, Ivan , Tan, Tricia , Đenić, Aleksandar , Lieske, John C. , Macura, Slobodan , Lewis, Matthew R , Macura, Slobodan I , Lieske, John C , Denic, Aleksandar , Vuckovic, Ivan , Takis, Panteleimon G

Bioinformatics | July 21, 2022 | Volume: 38 | Issue: 18 | Pages: 4437-4439

10.1093/bioinformatics/btac502 Get It

AbstractSummary1H nuclear magnetic resonance (NMR) spectroscopy is an established bioanalytical technology for metabolic profiling of biofluids in both clinical and large-scale population screening applications. Recently, urinary protein quantification has been demonstrated using the same 1D 1H NMR experimental data captured for metabolic profiling. Here, we introduce NMRpQuant, a freely available platform that builds on these findings with both novel and further optimized computational NMR approaches for rigorous, automated protein urine quantification. The results are validated by interlaboratory comparisons, demonstrating agreement with clinical/biochemical methodologies, pointing at a ready-to-use tool for routine protein urinalyses.Availability and implementationNMRpQuant was developed on MATLAB programming environment. Source code and Windows/macOS compiled applications are available at https://github.com/pantakis/NMRpQuant, and working examples are available at https://doi.org/10.6084/m9.figshare.18737189.v1.Supplementary informationSupplementary data are available at Bioinformatics online.