NMRpQuant: An automated software for large scale urinary total protein quantification by one-dimensional 1H NMR profiles

Panteleimon G. Takis, Ivan Vuckovic, Tricia Tan, Aleksandar Denic, John C. Lieske, Matthew R. Lewis, Slobodan Macura

Research output: Contribution to journalArticlepeer-review

Abstract

1H 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 implementation: NMRpQuant 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.

Original languageEnglish (US)
Pages (from-to)4437-4439
Number of pages3
JournalBioinformatics
Volume38
Issue number18
DOIs
StatePublished - 2022

ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

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