The DOI matches its Crossref record.
How Structural Features Influence the Biomembrane Permeability of Peptides
Abstract
Successful drug development requires not only optimization of specific and potent pharmacological activity at the target site, but also efficient delivery to that site. Many promising new peptides with novel therapeutic potential for the treatment of AIDS, cardiovascular diseases, and CNS disorders have been identified, yet their clinical utility has been limited by delivery problems. Along with metabolism, a major factor contributing to the poor bioavailability of peptides is thought to be inefficient transport across cell membranes. At the present time, the reasons for this poor transport are poorly understood. To explore this problem, we have designed experiments focused on determining the relationship between peptide structure and peptide transport across various biological membranes both in vitro and in vivo. Briefly, peptides that varied systematically in chain length, lipophilicity, and amide bond number were prepared. Permeability results with these solutes support a model in which the principal determinant of peptide transport is the energy required to desolvate the polar amides in the peptide for the peptide to enter and diffuse across the cell membrane. Further impacting on peptide permeability is the presence of active, secretory transport systems present in the apical membrane of intestinal epithelial and brain endothelial cells. In Caco-2 cell monolayers, a model of the human intestinal mucosa, this pathway displayed substrate specificity, saturation, and inhibition. Similar results have been shown in vivo in both rat intestinal and blood-brain barrier absorption models. The presence of such systems serves as an additional transport barrier by returning a fraction of absorbed peptide back to the lumen.
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
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
Martin, Y. C. (2005) · Journal of Medicinal Chemistry · doi:10.1021/jm0492002 · Cited by 1,020
Approaches for enhancing oral bioavailability of peptides and proteins
Renukuntla, J., Vadlapudi, A. D., Patel, A., Boddu, S. H. S., & Mitra, A. K. (2013) · International Journal of Pharmaceutics · doi:10.1016/j.ijpharm.2013.02.030 · Cited by 681
Rezai, T., Yu, B., Millhauser, G. L., Jacobson, M. P., & Lokey, R. S. (2006) · Journal of the American Chemical Society · doi:10.1021/ja0563455 · Cited by 490
Current Evidence on the Bioavailability of Food Bioactive Peptides
Amigo, L., & Hernández-Ledesma, B. (2020) · Molecules · doi:10.3390/molecules25194479 · Cited by 311
Impact of non-proteinogenic amino acids in the discovery and development of peptide therapeutics
Ding, Y., Ting, J. P., Liu, J., Al-Azzam, S., Pandya, P., & Afshar, S. (2020) · Amino Acids · doi:10.1007/s00726-020-02890-9 · Cited by 200
Bockus, A. T., Schwochert, J. A., Pye, C. R., Townsend, C. E., Sok, V., Bednarek, M. A., & Lokey, R. S. (2015) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.5b00919 · Cited by 135
Metadata
- Authors
- Burton, P. S., Conradi, R. A., Ho, N. F. H., Hilgers, A. R., & Borchardt, R. T.
- Venue
- Journal of Pharmaceutical Sciences
- Publisher
- American Geophysical Union (AGU)
- Published
- 1996-12
- Volume
- 85
- Issue
- 12
- Pages
- 1336-1340
- ISSN
- 0022-3549 (ISSN-L)
- OpenAlex
- W2077957449
- Cited by
- 176
- References
- 0
- FWCI
- 3.66
- 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
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.