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Cited by 279

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Ligand efficiency indices for effective drug discovery

Abad-Zapatero, Cele·2007·Expert Opinion on 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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Metadata

Authors
Abad-Zapatero, C.
Venue
Expert Opinion on Drug Discovery
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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CoChat. (2026). Citation check: Ligand efficiency indices for effective drug discovery. https://app.cochat.ai/papers/10.1517/17460441.2.4.469
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Abad-Zapatero, C. (2007). Ligand efficiency indices for effective drug discovery. Expert Opinion on Drug Discovery. https://doi.org/10.1517/17460441.2.4.469

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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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