The DOI matches its Crossref record.
Development of a new physicochemical model for brain penetration and its application to the design of centrally acting H2 receptor histamine antagonists
Abstract
A rational approach to the design of centrally acting agents is presented, based initially upon a comparison of the physicochemical properties of three typical histamine H2 receptor antagonists which do not readily cross the blood-brain barrier with those of the three brain-penetrating drugs clonidine (6), mepyramine (7) and imipramine (8). A good correlation was found between the logarithms of the equilibrium brain/blood concentration ratios in the rat and the partition parameter, delta log P, defined as log P (1-octanol/water)-log P (cyclohexane/water), which suggests that brain penetration might be improved by reducing overall hydrogen-bonding ability. This model has been employed as a guide in the design of novel brain-penetrating H2 antagonists by the systematic structural modification of representatives of different structural types of H2 antagonists. Although marked increases in brain penetration amongst congeners of cimetidine (1), ranitidine (9), and tiotidine (10) were achieved, no compound was found with an acceptable combination of H2 antagonist activity (-log KB in the guinea pig atrium greater than 7.0) and brain penetration (steady-state brain/blood concentration ratio greater than 1.0). Conversely, structural modification of N-[[(piperidinyl-methyl)phenoxy]propy]acetamide (30) led to several potent, novel compounds which readily cross the blood-brain barrier. One of these, zolantidine (SK&F 95282, 41), whose -log KB is 7.46 and steady-state brain/blood ratio is 1.4, has been identified for use in studying histaminergic H2 receptor mechanisms in brain. Comparison of delta log P values with the logarithms of the brain/blood ratios for 20 structurally diverse compounds for which data became available confirms a highly significant correlation and supports the general validity of this model.
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
Cited by
Artursson, P., Palm, K., & Luthman, K. (2001) · Advanced Drug Delivery Reviews · doi:10.1016/s0169-409x(00)00128-9 · Cited by 1,543
High throughput artificial membrane permeability assay for blood–brain barrier
Di, L., Kerns, E. H., Fan, K., McConnell, O. J., & Carter, G. T. (2003) · European Journal of Medicinal Chemistry · doi:10.1016/s0223-5234(03)00012-6 · Cited by 1,195
van de Waterbeemd, H., Camenisch, G., Folkers, G., Chretien, J. R., & Raevsky, O. A. (1998) · Journal of Drug Targeting · doi:10.3109/10611869808997889 · Cited by 587
Carpenter, T. S., Kirshner, D. A., Lau, E. Y., Wong, S. E., Nilmeier, J. P., & Lightstone, F. C. (2014) · Biophysical Journal · doi:10.1016/j.bpj.2014.06.024 · Cited by 306
Hydrogen Bonding. 33. Factors That Influence the Distribution of Solutes between Blood and Brain
Abraham, M. H., Chadha, H. S., & Mitchell, R. C. (1994) · Journal of Pharmaceutical Sciences · doi:10.1002/jps.2600830915 · Cited by 301
Self-citation
Metadata
- Authors
- Young, R. C., Mitchell, R. C., Brown, T. H., Ganellin, C. R., Griffiths, R., Jones, M., Rana, K. K., Saunders, D., & Smith, I. R.
- Venue
- Journal of Medicinal Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 1988-03
- Volume
- 31
- Issue
- 3
- Pages
- 656-671
- ISSN
- 0022-2623 (ISSN-L)
- 1520-4804
- OpenAlex
- W2082214060
- Cited by
- 521
- References
- 0
- FWCI
- 5.35
- Type
- journal article
- Language
- en
- Open access
- closed
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: Development of a new physicochemical model for brain penetration and its application to the design of centrally acting H2 receptor histamine antagonists. https://app.cochat.ai/papers/10.1021/jm00398a028
- The paper
- Young, R. C., Mitchell, R. C., Brown, T. H., Ganellin, C. R., Griffiths, R., Jones, M., Rana, K. K., Saunders, D., & Smith, I. R. (1988). Development of a new physicochemical model for brain penetration and its application to the design of centrally acting H2 receptor histamine antagonists. Journal of Medicinal Chemistry. https://doi.org/10.1021/jm00398a028
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.