The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.
Lipophilicity in drug discovery
Open accessAbstract
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Lipinski, C. A., Lombardo, F., Dominy, B. W., & Feeney, P. J. (2001) · Advanced Drug Delivery Reviews · doi:10.1016/s0169-409x(00)00129-0 · Cited by 18,139
Lipinski, C. A., Lombardo, F., Dominy, B. W., & Feeney, P. J. (1997) · Advanced Drug Delivery Reviews · doi:10.1016/s0169-409x(96)00423-1 · Cited by 11,385
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
Escape from Flatland: Increasing Saturation as an Approach to Improving Clinical Success
Lovering, F., Bikker, J., & Humblet, C. (2009) · Journal of Medicinal Chemistry · doi:10.1021/jm901241e · Cited by 4,495
The influence of drug-like concepts on decision-making in medicinal chemistry
Leeson, P. D., & Springthorpe, B. (2007) · Nature Reviews Drug Discovery · doi:10.1038/nrd2445 · Cited by 2,403
Prediction of Drug Absorption Using Multivariate Statistics
Egan, W. J., Merz, & Baldwin, J. J. (2000) · Journal of Medicinal Chemistry · doi:10.1021/jm000292e · Cited by 1,970
Ligand efficiency: a useful metric for lead selection
Hopkins, A. L., Groom, C. R., & Alex, A. (2004) · Drug Discovery Today · doi:10.1016/s1359-6446(04)03069-7 · Cited by 1,846
REDFERN, W., CARLSSON, L., DAVIS, A., LYNCH, W., MACKENZIE, I., PALETHORPE, S., SIEGL, P., STRANG, I., SULLIVAN, A., & WALLIS, R. (2003) · Cardiovascular Research · doi:10.1016/s0008-6363(02)00846-5 · Cited by 1,532
Martin, Y. C. (2005) · Journal of Medicinal Chemistry · doi:10.1021/jm0492002 · Cited by 1,020
Meyer, H. (1899) · Archiv für Experimentelle Pathologie und Pharmakologie · doi:10.1007/bf01834479 · Cited by 1,014
Cited by
An analysis of the attrition of drug candidates from four major pharmaceutical companies
Waring, M. J., Arrowsmith, J., Leach, A. R., Leeson, P. D., Mandrell, S., Owen, R. M., Pairaudeau, G., Pennie, W. D., Pickett, S. D., Wang, J., et al. (2015) · Nature Reviews Drug Discovery · doi:10.1038/nrd4609 · Cited by 1,450
Self-citationThe 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
In silico ADME/T modelling for rational drug design
Wang, Y., Xing, J., Xu, Y., Zhou, N., Peng, J., Xiong, Z., Liu, X., Luo, X., Luo, C., Chen, K., et al. (2015) · Quarterly Reviews of Biophysics · doi:10.1017/s0033583515000190 · Cited by 367
Chen, M., Borlak, J., & Tong, W. (2013) · Hepatology · doi:10.1002/hep.26208 · Cited by 348
Amide-to-Ester Substitution as a Strategy for Optimizing PROTAC Permeability and Cellular Activity
Klein, V. G., Bond, A. G., Craigon, C., Lokey, R. S., & Ciulli, A. (2021) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.1c01496 · Cited by 152
Metadata
- Authors
- Waring, M. J.
- Venue
- Expert Opinion on Drug Discovery
- Publisher
- Informa UK Limited
- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Lipophilicity in drug discovery. https://app.cochat.ai/papers/10.1517/17460441003605098
- The paper
- Waring, M. J. (2010). Lipophilicity in drug discovery. Expert Opinion on Drug Discovery. https://doi.org/10.1517/17460441003605098
Data sources
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.