VSDMIP
VSDMIP integrates ligand-based and structure-based virtual screening workflows within PyMOL to manage and execute large-scale virtual screening studies for lead identification.
Key Features:
- PyMOL integration: Implemented as a plugin for PyMOL to couple virtual screening workflows with molecular visualization.
- Software integration: Integrates local and cluster-based software packages to run screening computations across heterogeneous environments.
- Ligand-Based Virtual Screening (LBVS) module: Provides LBVS for cases when the receptor 3D structure is unknown or as a pre-filtering step, and has been reported to outperform the SBVS module in certain contexts.
- Structure-Based Virtual Screening (SBVS) module: Provides SBVS for analyses when 3D receptor structures are available.
- Scalability and performance: Scales to cluster deployments and can screen several million molecules in under one month on approximately 100 modern processors.
- Benchmarking: Evaluated using a reduced set from the Directory of Useful Decoys database.
Scientific Applications:
- Large-scale virtual screening: Enables screening of extensive chemical libraries using both LBVS and SBVS approaches.
- Drug discovery lead identification: Facilitates identification of potential lead compounds across millions of molecules.
- Screening strategy selection: Supports tailoring between ligand-based and structure-based strategies depending on availability of receptor 3D structures.
Methodology:
Applies a dual computational approach using both LBVS and SBVS techniques, integrates local and cluster-based software packages, and was tested on a reduced set from the Directory of Useful Decoys database while scaling to multi-processor clusters.
Topics
Details
- Tool Type:
- desktop application
- Operating Systems:
- Linux, Windows
- Added:
- 8/3/2017
- Last Updated:
- 12/10/2018
Operations
Publications
Cabrera ÁC, et al. VSDMIP 1.5: an automated structure- and ligand-based virtual screening platform with a PyMOL graphical user interface. J Comput Aided Mol Des. 2011; 25:813-24. doi: 10.1007/s10822-011-9465-6
PMID: 21826555