VRPharmer
VRPharmer performs pharmacophore-based virtual screening within immersive virtual reality to enable interactive exploration and refinement of pharmacophore models and binding poses.
Key Features:
- OPT Mode: Conducts standard pharmacophore-based virtual screenings using conventional screening parameters.
- SCORE Mode: Enables interactive exploration of optimal binding poses for dynamic analysis of molecular interactions.
- Editable Pharmacophore Models: Permits modification and refinement of pharmacophore models to assess the impact of individual features on screening results.
- Realistic Visualization: Employs advanced molecular rendering algorithms to produce precise, realistic representations of molecular structures and interactions.
Scientific Applications:
- Drug discovery screening: Supports pharmacophore-based virtual screening workflows to identify candidate compounds.
- Pharmacophore model optimization: Facilitates refinement of pharmacophore models to improve screening specificity and relevance.
- Binding pose analysis: Enables detailed examination of optimal binding poses to analyze molecular interactions.
- Screening refinement: Allows iterative adjustment of screening parameters and models to accelerate identification of viable therapeutic compounds.
Methodology:
Integrates pharmacophore-based virtual screening with virtual reality and advanced molecular rendering algorithms to permit interactive exploration and modification of pharmacophore models and binding poses.
Topics
Details
- License:
- MIT
- Cost:
- Free of charge
- Tool Type:
- desktop application
- Operating Systems:
- Windows
- Programming Languages:
- C#
- Added:
- 10/28/2022
- Last Updated:
- 10/28/2022
Operations
Data Inputs & Outputs
Publications
Liu S, Zhou J, Feng Z, Zhang J, Li S, Jin Z, Zhang C, Li S, He G, Li H. VRPharmer: bringing virtual reality into pharmacophore-based virtual screening with interactive exploration and realistic visualization. Bioinformatics. 2022;38(21):4953-4955. doi:10.1093/bioinformatics/btac615. PMID:36073903.
PMID: 36073903
Funding: - National Key Research and Development Program: 2016YFA0502304
- National Natural Science Foundation of China: 81825020, 82150208, 82173690
- Lingang Laboratory: LG-QS-202206-02
- Research Project of Shanghai Science and Technology Commission: 20dz2260300