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

Editing

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