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Analysis and optimization of structure-based virtual screening protocols (1): exploration of ligand conformational
Andrew C Good1, Daniel L Cheney
1Structural Biology and Modeling, Bristol-Myers Squibb, P.O. Box 5100, Wallingford, CT 06492, USA. andrew.good@bms.com
Journal of Molecular Graphics & Modelling
|June 12, 2003
Summary
Understanding ligand conformational flexibility is crucial for effective virtual screening (VS). This study evaluates software for generating diverse ligand conformations, assessing their ability to reproduce known binding poses for structure-based virtual screening (SVS).
Area of Science:
- Computational chemistry
- Drug discovery
- Molecular modeling
Background:
- Ligand conformational flexibility is a critical challenge in virtual screening (VS).
- Existing methods often adapt pharmacophore screening techniques for structure-based virtual screening (SVS).
- Pre-calculation of diverse ligand conformations is a common approach for SVS.
Purpose of the Study:
- To evaluate the performance of current conformer generation software.
- To assess the ability of these programs to regenerate known ligand binding conformations.
- To discuss the implications for virtual screening, particularly SVS.
Main Methods:
- Analysis of various software tools for conformer generation.
- Testing the ability of software to reproduce experimentally determined ligand binding conformations.
- Comparative study of different conformer generation methodologies.
Main Results:
- The study identifies strengths and weaknesses in current conformer generation software.
- Performance varies significantly among different software packages.
- The ability to accurately regenerate known binding conformations is not universally achieved.
Conclusions:
- Conformer generation is a key step influencing the success of structure-based virtual screening.
- Careful selection of conformer generation tools is essential for reliable VS results.
- Further development in ligand conformational sampling is needed to improve SVS accuracy.