The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Ligand efficiency indices for effective drug discovery
Abstract
Successful drug discovery requires the optimization of a large number of variables ranging from strictly physicochemical parameters such as molecular weight to more complex parameters related to toxicity and bioavailability. Presently, structure-based methodologies influence many aspects of the drug discovery process from lead discovery to the final preclinical characterization. However, critical biological issues along the path to the market have diminished the impact and power of this methodology. The physicochemical properties of the novel chemical entities designed and guided by structural methods have become the subject of intense scrutiny from lead discovery to drug candidate. The idea of ligand efficiency (binding energy/non-hydrogen atoms) has recently emerged as a useful guide to optimize fragment and lead selection in the discovery process. More generalized concepts of ligand efficiency, related to efficiency per dalton and per unit of polar surface area, have also been introduced and will be discussed in the broader context. Preliminary results and trends obtained using ligand efficiencies as guides are reviewed and their future application to guide drug discovery will be discussed, as well as their integration into the structure-based drug design methods to make them more effective and numerically robust.
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Cites
Molecular properties that influence the oral bioavailability of drug candidates
Veber, D. F., Johnson, S. R., Cheng, H.-Y., Smith, B. R., Ward, K. W., & Kopple, K. D. (2002) · Journal of Medicinal Chemistry · doi:10.1021/jm020017n · Cited by 8,420
DrugBank: a comprehensive resource for in silico drug discovery and exploration
Wishart, D. S. (2006) · Nucleic Acids Research · doi:10.1093/nar/gkj067 · Cited by 3,892
A Scoring Scheme for Discriminating between Drugs and Nondrugs
Sadowski, J., & Kubinyi, H. (1998) · Journal of Medicinal Chemistry · doi:10.1021/jm9706776 · Cited by 392
Cited by
The role of ligand efficiency metrics in drug discovery
Hopkins, A. L., Keserü, G. M., Leeson, P. D., Rees, D. C., & Reynolds, C. H. (2014) · Nature Reviews Drug Discovery · doi:10.1038/nrd4163 · Cited by 1,181
Wager, T. T., Chandrasekaran, R. Y., Hou, X., Troutman, M. D., Verhoest, P. R., Villalobos, A., & Will, Y. (2010) · ACS Chemical Neuroscience · doi:10.1021/cn100007x · Cited by 477
Computational Modeling of β-Secretase 1 (BACE-1) Inhibitors Using Ligand Based Approaches
Subramanian, G., Ramsundar, B., Pande, V., & Denny, R. A. (2016) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.6b00290 · Cited by 285
Metadata
- Authors
- Abad-Zapatero, C.
- Venue
- Expert Opinion on Drug Discovery
- Publisher
- Informa Healthcare
- Published
- 2007-04
- Volume
- 2
- Issue
- 4
- Pages
- 469-488
- ISSN
- 1746-0441 (ISSN-L)
- 1746-045X
- OpenAlex
- W2103299776
- Cited by
- 279
- References
- 3
- FWCI
- 9.52
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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