Physicochemical High Throughput Screening: Parallel Artificial Membrane Permeation Assay in the Description of Passive Absorption Processes
Abstract
ADVERTISEMENT RETURN TO ISSUELetterNEXTPhysicochemical High Throughput Screening: Parallel Artificial Membrane Permeation Assay in the Description of Passive Absorption ProcessesManfred Kansy, Frank Senner, and Klaus GubernatorView Author Information F. Hoffmann-La Roche Ltd., Pharma Research, Infectious Diseases, Molecular Structure Research, 4070 Basel, Switzerland Cite this: J. Med. Chem. 1998, 41, 7, 1007–1010Publication Date (Web):March 7, 1998Publication History Received11 August 1997Published online7 March 1998Published inissue 1 March 1998https://pubs.acs.org/doi/10.1021/jm970530ehttps://doi.org/10.1021/jm970530erapid-communicationACS PublicationsCopyright © 1998 American Chemical SocietyRequest reuse permissionsArticle Views11023Altmetric-Citations1029LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-AlertscloseSupporting Info (1)»Supporting Information Supporting Information SUBJECTS:Absorption,Cells,Fluxes,Interface engineering,Membranes Get e-Alerts
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
PAMPA is a useful tool for predicting a compound's permeability through the human gut, however, it only considers the rate of passive transport.
“PAMPA is a useful tool for predicting a compound’s permeability through the human gut, however, it only considers the rate of passive transport [36].”
From Polyphenol Microbial Metabolites Exhibit Gut and Blood–Brain Barrier Permeability and Protect Murine Microglia against LPS-Induced Inflammation (2019) · cites this paper as [36]
Cited by
Sorted by citations
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 · see citing works
Getting Across the Cell Membrane: An Overview for Small Molecules, Peptides, and Proteins
Yang, N. J., & Hinner, M. J. (2015) · Methods in Molecular Biology · doi:10.1007/978-1-4939-2272-7_3 · Cited by 826 · see citing works
Oral Druggable Space beyond the Rule of 5: Insights from Drugs and Clinical Candidates
Doak, B. C., Over, B., Giordanetto, F., & Kihlberg, J. (2014) · Chemistry & Biology · doi:10.1016/j.chembiol.2014.08.013 · Cited by 835 · see citing works
Carrier-mediated cellular uptake of pharmaceutical drugs: an exception or the rule?
Dobson, P. D., & Kell, D. B. (2008) · Nature Reviews Drug Discovery · doi:10.1038/nrd2438 · Cited by 475 · see citing works
A Novel Strategy for Physiologically Based Predictions of Human Pharmacokinetics
Jones, H. M., Parrott, N., Jorga, K., & Lav??, T. (2006) · Clinical Pharmacokinetics · doi:10.2165/00003088-200645050-00006 · Cited by 352 · see citing works
PAMPA—critical factors for better predictions of absorption
Avdeef, A., Bendels, S., Di, L. I., Faller, B., Kansy, M., Sugano, K., & Yamauchi, Y. (2007) · Journal of Pharmaceutical Sciences · doi:10.1002/jps.21068 · Cited by 240 · see citing works
Self-citationXiong, B., Wang, Y., Chen, Y., Xing, S., Liao, Q., Chen, Y., Li, Q., Li, W., & Sun, H. (2021) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.1c00910 · Cited by 232 · see citing works
Drug permeability profiling using cell-free permeation tools: overview and applications
Berben, P., Bauer-Brandl, A., Brandl, M., Faller, B., Flaten, G. E., Jacobsen, A.-C., Brouwers, J., & Augustijns, P. (2018) · European Journal of Pharmaceutical Sciences · doi:10.1016/j.ejps.2018.04.016 · Cited by 199 · see citing works
Sjögren, E., Westergren, J., Grant, I., Hanisch, G., Lindfors, L., Lennernäs, H., Abrahamsson, B., & Tannergren, C. (2013) · European Journal of Pharmaceutical Sciences · doi:10.1016/j.ejps.2013.05.019 · Cited by 168 · see citing works
New biomimetic barrier Permeapad™ for efficient investigation of passive permeability of drugs
di Cagno, M., Bibi, H. A., & Bauer-Brandl, A. (2015) · European Journal of Pharmaceutical Sciences · doi:10.1016/j.ejps.2015.03.019 · Cited by 146 · see citing works
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 · see citing works
Applications of Human Pharmacokinetic Prediction in First-in-Human Dose Estimation
Zou, P., Yu, Y., Zheng, N., Yang, Y., Paholak, H. J., Yu, L. X., & Sun, D. (2012) · The AAPS Journal · doi:10.1208/s12248-012-9332-y · Cited by 138 · see citing works
Lindemann, L., Jaeschke, G., Michalon, A., Vieira, E., Honer, M., Spooren, W., Porter, R., Hartung, T., Kolczewski, S., Büttelmann, B., et al. (2011) · The Journal of Pharmacology and Experimental Therapeutics · doi:10.1124/jpet.111.185660 · Cited by 118 · see citing works
Neumann, U., Rueeger, H., Machauer, R., Veenstra, S. J., Lueoend, R. M., Tintelnot-Blomley, M., Laue, G., Beltz, K., Vogg, B., Schmid, P., et al. (2015) · Molecular Neurodegeneration · doi:10.1186/s13024-015-0033-8 · Cited by 113 · see citing works
Parrott, N., Paquereau, N., Coassolo, P., & Lavé, T. (2005) · Journal of Pharmaceutical Sciences · doi:10.1002/jps.20419 · Cited by 107 · see citing works
Development and evaluation of an in vitro method for prediction of human drug absorption
Corti, G., Maestrelli, F., Cirri, M., Zerrouk, N., & Mura, P. (2006) · European Journal of Pharmaceutical Sciences · doi:10.1016/j.ejps.2005.11.005 · Cited by 100 · see citing works
Johnson, S. L., Kirk, R. D., DaSilva, N. A., Ma, H., Seeram, N. P., & Bertin, M. J. (2019) · Metabolites · doi:10.3390/metabo9040078 · Cited by 100 · see citing works
Gobbi, L. C., Knust, H., Körner, M., Honer, M., Czech, C., Belli, S., Muri, D., Edelmann, M. R., Hartung, T., Erbsmehl, I., et al. (2017) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.7b00632 · Cited by 89 · see citing works
Fischer, H., Kansy, M., Avdeef, A., & Senner, F. (2007) · European Journal of Pharmaceutical Sciences · doi:10.1016/j.ejps.2007.02.001 · Cited by 82 · see citing works
Self-citationHuman skin models: From healthy to disease-mimetic systems; characteristics and applications
Moniz, T., Costa Lima, S. A., & Reis, S. (2020) · British Journal of Pharmacology · doi:10.1111/bph.15184 · Cited by 80 · see citing works
Bibi, H. A., Holm, R., & Bauer-Brandl, A. (2017) · European Journal of Pharmaceutics and Biopharmaceutics · doi:10.1016/j.ejpb.2017.05.001 · Cited by 68 · see citing works
Drug Permeability Profiling Using the Novel Permeapad® 96-Well Plate
Jacobsen, A.-C., Nielsen, S., Brandl, M., & Bauer-Brandl, A. (2020) · Pharmaceutical Research · doi:10.1007/s11095-020-02807-x · Cited by 55 · see citing works
Probing the Role of Chirality in Phospholipid Membranes
Martin, H. S., Podolsky, K. A., & Devaraj, N. K. (2021) · ChemBioChem · doi:10.1002/cbic.202100232 · Cited by 36 · see citing works
Dong, X., Cong, K., Lu, Y., Yang, S., Sun, Y., Hao, J., Liu, Y., Zhang, Y., Liu, C., He, C., et al. (2026) · Small · doi:10.1002/smll.74981
- Authors
- Kansy, M., Senner, F., & Gubernator, K.
- Affiliations
- F. Hoffmann-La Roche AG (CH)
- Corresponding author
- Kansy, Manfred
- ORCID
- Kansy, Manfred
- Venue
- Journal of Medicinal Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 1998-03-01
- Volume
- 41
- Issue
- 7
- Pages
- 1007-1010
- ISSN
- 0022-2623 (ISSN-L)
- 1520-4804
- OpenAlex
- W2032865438
- Cited by
- 1,304
- References
- 0
- Citations by year
- 2026: 49 · 2025: 64 · 2024: 62 · 2023: 49 · 2022: 69 · 2021: 65 · 2020: 67 · 2019: 69 · 2018: 62 · 2017: 52 · 2016: 62 · 2015: 61 · 2014: 45 · 2013: 53 · 2012: 56
- FWCI
- 16.68
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Medicinal Chemistry (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmaceutical Science › Drug Solubulity and Delivery Systems
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
- Health Sciences › Medicine › Oncology › Drug Transport and Resistance Mechanisms
- Keywords
- passive absorption, membrane permeability, drug absorption, interface engineering, permeate flux
- MeSH terms
- Absorption, Adsorption, Drug Evaluation, Preclinical, Humans, Hydrogen-Ion Concentration, Intestinal Absorption, Membranes, Artificial, Permeability, Pharmacokinetics, Spectrophotometry, Ultraviolet, Caco-2 Cells
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
