The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Conformational Flexibility, Internal Hydrogen Bonding, and Passive Membrane Permeability: Successful in Silico Prediction of the Relative Permeabilities of Cyclic Peptides
Abstract
We report an atomistic physical model for the passive membrane permeability of cyclic peptides. The computational modeling was performed in advance of the experiments and did not involve the use of "training data". The model explicitly treats the conformational flexibility of the peptides by extensive conformational sampling in low (membrane) and high (water) dielectric environments. The passive membrane permeabilities of 11 cyclic peptides were obtained experimentally using a parallel artificial membrane permeability assay (PAMPA) and showed a linear correlation with the computational results with R(2) = 0.96. In general, the results support the hypothesis, already well established in the literature, that the ability to form internal hydrogen bonds is critical for passive membrane permeability and can be the distinguishing factor among closely related compounds, such as those studied here. However, we have found that the number of internal hydrogen bonds that can form in the membrane and the solvent-exposed polar surface area correlate more poorly with PAMPA permeability than our model, which quantitatively estimates the solvation free energy losses upon moving from high-dielectric water to the low-dielectric interior of a membrane.
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
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
The mechanism of action of cyclosporin A and FK506
Schreiber, S. L., & Crabtree, G. R. (1992) · Immunology Today · doi:10.1016/0167-5699(92)90111-j · Cited by 2,127
PARSEGIAN, A. (1969) · Nature · doi:10.1038/221844a0 · Cited by 854
Permeability of small nonelectrolytes through lipid bilayer membranes
Walter, A., & Gutknecht, J. (1986) · The Journal of Membrane Biology · doi:10.1007/bf01870127 · Cited by 502
Cited by
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
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
Discovery of a Covalent Inhibitor of KRAS G12C (AMG 510) for the Treatment of Solid Tumors
Lanman, B. A., Allen, J. R., Allen, J. G., Amegadzie, A. K., Ashton, K. S., Booker, S. K., Chen, J. J., Chen, N., Frohn, M. J., Goodman, G., et al. (2020) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.9b01180 · Cited by 765
Intracellular Delivery by Membrane Disruption: Mechanisms, Strategies, and Concepts
Stewart, M. P., Langer, R., & Jensen, K. F. (2018) · Chemical Reviews · doi:10.1021/acs.chemrev.7b00678 · Cited by 747
Strategic Approaches to Optimizing Peptide ADME Properties
Di, L. (2015) · The AAPS Journal · doi:10.1208/s12248-014-9687-3 · Cited by 669
Metadata
- Authors
- Rezai, T., Bock, J. E., Zhou, M. V., Kalyanaraman, C., Lokey, R. S., & Jacobson, M. P.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2006-10-06
- Volume
- 128
- Issue
- 43
- Pages
- 14073-14080
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W2136359146
- Cited by
- 416
- References
- 5
- FWCI
- 6.15
- 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.