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Lipophilicity in drug discovery

Open access
Waring, Michael J·2010·Expert Opinion on Drug Discovery

Abstract

IMPORTANCE OF THE FIELD: The role of lipophilicity in determining the overall quality of candidate drug molecules is of paramount importance. Recent developments suggest that, as well as determining pre-clinical ADMET (absorption, distribution, metabolism, elimination and toxicology) properties, compounds of optimal lipophilicity might have increased chances of success in development. AREAS COVERED IN THIS REVIEW: The review covers aspects of methods of prediction of lipophilicity in frequent use and describes the most relevant literature analyses linking individual ADMET parameters and more composite measures of overall compound 'quality' with lipophilicity. WHAT THE READER WILL GAIN: The aim is to provide an overview of the relevant literature in an attempt to summarise where the optimum region of lipophilicity lies and to highlight which particular issues and risks might be expected when operating outside this region. TAKE HOME MESSAGE: The review of the data shows that this optimal space is defined by a narrow range of logD between ∼ 1 and 3. Some of the implications of this for medicinal chemistry optimisation are discussed.

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Metadata

Authors
Waring, M. J.
Venue
Expert Opinion on Drug Discovery
Published
2010-02-26
Volume
5
Issue
3
Pages
235-248
ISSN
  • 1746-0441 (ISSN-L)
  • 1746-045X
OpenAlex
W2097559461
Cited by
873
References
57
FWCI
41.45
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Lipophilicity in drug discovery. https://app.cochat.ai/papers/10.1517/17460441003605098
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Waring, M. J. (2010). Lipophilicity in drug discovery. Expert Opinion on Drug Discovery. https://doi.org/10.1517/17460441003605098

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.