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Ligand Docking and Structure-based Virtual Screening in Drug Discovery
Abstract
Ligand-docking-based methods are starting to play a critical role in lead discovery and optimization, thus resulting in new 'drug-candidates'. They offer the possibility to go beyond the pool of existing active compounds, and thus find novel chemotypes. A brief tutorial on ligand docking and structure-based virtual screening is presented highlighting current problems and limitations, together with the most recent methodological and algorithmic developments in the field. Recent successful applications of docking-based tools for hit discovery, lead optimization and target-biased library design are also presented. Special consideration is devoted to ongoing efforts to account for protein flexibility in structure-based virtual screening.
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Citations
Cited by
Molecular dynamics simulations and novel drug discovery
Liu, X., Shi, D., Zhou, S., Liu, H., Liu, H., & Yao, X. (2018) · Expert Opinion on Drug Discovery · doi:10.1080/17460441.2018.1403419 · Cited by 518
Rapid Context-Dependent Ligand Desolvation in Molecular Docking
Mysinger, M. M., & Shoichet, B. K. (2010) · Journal of Chemical Information and Modeling · doi:10.1021/ci100214a · Cited by 317
Biomolecular simulation and modelling: status, progress and prospects
van der Kamp, M. W., Shaw, K. E., Woods, C. J., & Mulholland, A. J. (2008) · Journal of The Royal Society Interface · doi:10.1098/rsif.2008.0105.focus · Cited by 90
Protein-Protein Interactions as Drug Targets
Wendt, M. D. (2012) · Topics in Medicinal Chemistry · doi:10.1007/978-3-642-28965-1_1 · Cited by 9
Metadata
- Authors
- Cavasotto, C., & W. Orry, A.
- Venue
- Current Topics in Medicinal Chemistry
- Publisher
- Bentham Science Publishers Ltd.
- Published
- 2007-05-01
- Volume
- 7
- Issue
- 10
- Pages
- 1006-1014
- ISSN
- 1568-0266 (ISSN-L)
- OpenAlex
- W2078142106
- Cited by
- 273
- References
- 0
- FWCI
- 22.07
- Type
- journal article
- Language
- en
- Open access
- closed
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