A method for quantification of nucleotides and nucleotide analogues in thymidine kinase assays using lanthanum phosphate coprecipitation

A new, sensitive ecto-5'-nucleotidase assay for compound screening

Ecto-5'-nucleotidase (eN) is a membrane-bound enzyme that hydrolyzes extracellular nucleoside-5'-monophosphates yielding the respective nucleoside and phosphate. Increased levels of eN expression have been observed in many cancer cells. By increasing extracellular adenosine concentrations, they contribute to their proliferative, angiogenic, metastatic, and immunosuppressive effects. Therefore, eN is of considerable interest as a novel drug target for the treatment of cancer as well as of inflammatory diseases. In this study, we developed, optimized, and applied a highly sensitive radiometric assay using [³H]adenosine-5'-monophosphate (AMP) as a substrate. The reaction product [³H]adenosine was separated from [³H]AMP by precipitation of the latter with lanthanum chloride and subsequent filtration through glass fiber filters. Conditions were optimized to reproducibly collect the [³H]adenosine-containing filtrate used for quantitative determination. Validation of the assay yielded a mean Z' factor of 0.73, which demonstrates its suitability for high-throughput screening. The new assay shows a limit of detection that is at least 30-fold lower than those of common colorimetric methods (e.g., optimized malachite green assay and capillary electrophoresis-based assay procedures), and it is also superior to a recently developed luciferase-based assay.

Pharmacophore-based virtual screening versus docking-based virtual screening: a benchmark comparison against eight targets

AIM

This study was conducted to compare the efficiencies of two virtual screening approaches, pharmacophore-based virtual screening (PBVS) and docking-based virtual screening (DBVS) methods.

METHODS

All virtual screens were performed on two data sets of small molecules with both actives and decoys against eight structurally diverse protein targets, namely angiotensin converting enzyme (ACE), acetylcholinesterase (AChE), androgen receptor (AR), D-alanyl-D-alanine carboxypeptidase (DacA), dihydrofolate reductase (DHFR), estrogen receptors alpha (ERalpha), HIV-1 protease (HIV-pr), and thymidine kinase (TK). Each pharmacophore model was constructed based on several X-ray structures of protein-ligand complexes. Virtual screens were performed using four screening standards, the program Catalyst for PBVS and three docking programs (DOCK, GOLD and Glide) for DBVS.

RESULTS

Of the sixteen sets of virtual screens (one target versus two testing databases), the enrichment factors of fourteen cases using the PBVS method were higher than those using DBVS methods. The average hit rates over the eight targets at 2% and 5% of the highest ranks of the entire databases for PBVS are much higher than those for DBVS.

CONCLUSION

The PBVS method outperformed DBVS methods in retrieving actives from the databases in our tested targets, and is a powerful method in drug discovery.