Unknown

Dataset Information

0

Combination of In Silico and In Vitro Screening to Identify Novel Glutamate Carboxypeptidase II Inhibitors.


ABSTRACT: Glutamate carboxypeptidase II (GCPII) is a metalloprotease implicated in neurological diseases and prostate oncology. While several classes of potent GCPII-specific inhibitors exist, the development of novel active scaffolds with different pharmacological profiles remains a challenge. Virtual screening followed by in vitro testing is an effective means for the discovery of novel active compounds. Structure- and ligand-based pharmacophore models were created based on a dataset of known GCPII-selective ligands. These models were used in a virtual screening of the SPECS compound library (∼209.000 compounds). Fifty top-scoring virtual hits were further experimentally tested for their ability to inhibit GCPII enzymatic activity in vitro. Six hits were found to have moderate to high inhibitory potency with the best virtual hit, a modified xanthene, inhibiting GCPII with an IC50 value of 353 ± 24 nM. The identification of this novel inhibitory scaffold illustrates the applicability of pharmacophore-based modeling for the discovery of GCPII-specific inhibitors.

SUBMITTER: Temml V 

PROVIDER: S-EPMC9976286 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature

altmetric image

Publications

Combination of <i>In Silico</i> and <i>In Vitro</i> Screening to Identify Novel Glutamate Carboxypeptidase II Inhibitors.

Temml Veronika V   Kollár Jakub J   Schönleitner Theresa T   Höll Anna A   Schuster Daniela D   Kutil Zsófia Z  

Journal of chemical information and modeling 20230217 4


Glutamate carboxypeptidase II (GCPII) is a metalloprotease implicated in neurological diseases and prostate oncology. While several classes of potent GCPII-specific inhibitors exist, the development of novel active scaffolds with different pharmacological profiles remains a challenge. Virtual screening followed by <i>in vitro</i> testing is an effective means for the discovery of novel active compounds. Structure- and ligand-based pharmacophore models were created based on a dataset of known GCP  ...[more]

Similar Datasets

| S-EPMC3222833 | biostudies-literature
| S-EPMC4112551 | biostudies-literature
| S-EPMC3055939 | biostudies-literature
| S-EPMC5516903 | biostudies-literature
| S-EPMC4077459 | biostudies-literature
| S-EPMC4712110 | biostudies-literature
| S-EPMC2706136 | biostudies-literature
| S-EPMC6374116 | biostudies-literature
| S-EPMC3340893 | biostudies-literature
| S-EPMC3116189 | biostudies-literature