Semi-Automated High-Throughput Substrate Screening Assay for Nucleoside Kinases.
Katja F HellendahlMaryke FehlauSebastian HansPeter NeubauerAnke KurreckPublished in: International journal of molecular sciences (2021)
Nucleoside kinases (NKs) are key enzymes involved in the in vivo phosphorylation of nucleoside analogues used as drugs to treat cancer or viral infections. Having different specificities, the characterization of NKs is essential for drug design and nucleotide analogue production in an in vitro enzymatic process. Therefore, a fast and reliable substrate screening method for NKs is of great importance. Here, we report on the validation of a well-known luciferase-based assay for the detection of NK activity in a 96-well plate format. The assay was semi-automated using a liquid handling robot. Good linearity was demonstrated (r² > 0.98) in the range of 0-500 µM ATP, and it was shown that alternative phosphate donors like dATP or CTP were also accepted by the luciferase. The developed high-throughput assay revealed comparable results to HPLC analysis. The assay was exemplarily used for the comparison of the substrate spectra of four NKs using 20 (8 natural, 12 modified) substrates. The screening results correlated well with literature data, and additionally, previously unknown substrates were identified for three of the NKs studied. Our results demonstrate that the developed semi-automated high-throughput assay is suitable to identify best performing NKs for a wide range of substrates.
Keyphrases
- high throughput
- single cell
- systematic review
- machine learning
- nitric oxide
- squamous cell carcinoma
- hydrogen peroxide
- amino acid
- artificial intelligence
- simultaneous determination
- papillary thyroid
- molecular docking
- high resolution
- ionic liquid
- lymph node metastasis
- molecular dynamics
- drug induced
- squamous cell
- molecular dynamics simulations
- clinical evaluation