PyRx
PyRx performs high-throughput virtual screening and molecular docking to predict binding modes and binding affinities of small molecules against protein targets for computational drug discovery.
Key Features:
- Virtual screening capabilities: High-throughput virtual screening of compound libraries to identify molecules with potential therapeutic effects.
- Integration with molecular docking: Molecular docking to predict binding modes and estimate binding affinities of compounds to protein targets.
Scientific Applications:
- Glucokinase activator discovery: Used to screen and analyze libraries to identify novel symmetric pyridoxine moieties linked via sulfur-containing linkers as GK activators relevant to type 2 diabetes, with leading compounds showing ~150% and ~130% activation at 100 µM versus reference PF-04937319 and exhibiting low cytotoxicity and LD50 >2000 mg/kg in rats.
- Binding mode elucidation: Molecular docking studies were performed to model binding modes of active compounds and support comparative analysis with reference agent PF-04937319.
Methodology:
High-throughput virtual screening of compound libraries and molecular docking studies to predict binding modes and estimate binding affinities.
Topics
Details
- Tool Type:
- desktop application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Python
- Added:
- 12/18/2017
- Last Updated:
- 6/17/2025
Operations
Publications
Dzyurkevich MS, et al. Pyridoxine dipharmacophore derivatives as potent glucokinase activators for the treatment of type 2 diabetes mellitus. Sci Rep. 2017; 7:16072. doi: 10.1038/s41598-017-16405-2
PMID: 29167582