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Ligand-based virtual screening interface between PyMOL and LiSiCA.
Athira Dilip1, Samo Lešnik1, Tanja Štular2
1National Institute of Chemistry, Hajdrihova 19, 1000 Ljubljana, Slovenia.
Journal of Cheminformatics
|September 9, 2016
Summary
Ligand-based virtual screening using PyMOL and LiSiCA aids drug discovery. This interface helps identify novel bioactive molecules by screening large chemical databases efficiently.
Area of Science:
- Computational chemistry
- Drug discovery
- cheminformatics
Background:
- Ligand-based virtual screening (LBVS) is crucial for early-stage drug development.
- LBVS utilizes the similarity principle to reduce large chemical databases for experimental testing.
- It can identify novel bioactive molecules with diverse scaffolds, enhancing structural variability.
Purpose of the Study:
- To present an interface between PyMOL and LiSiCA for LBVS.
- To demonstrate the utility of this interface in drug discovery.
Main Methods:
- Development of an interface between PyMOL and LiSiCA software.
- Application of the interface for ligand-based virtual screening.
Main Results:
- Successful integration of PyMOL and LiSiCA.
- Demonstration of the interface's capability in early drug discovery stages.
Conclusions:
- The PyMOL-LiSiCA interface streamlines LBVS.
- This tool facilitates efficient identification of potential drug candidates.
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