In Silico Prediction of Skin Permeability Using a Two-QSAR Approach.
- DOI
- 10.3390/pharmaceutics14050961
- Published
- 2022-04-28
- Container
- Pharmaceutics
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- supportingDirectory of Open Access Journals: A matching record was returned by DOAJ.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- supportingOpen access status: Normalized open-access status: open.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.3390/pharmaceutics14050961,
title = {In Silico Prediction of Skin Permeability Using a Two-QSAR Approach.},
author = {Wu YW and Ta GH and Lung YC and Weng CF and Leong MK.},
year = {2022},
journal = {Pharmaceutics},
doi = {10.3390/pharmaceutics14050961},
url = {https://doi.org/10.3390/pharmaceutics14050961}
}RIS
TY - JOUR TI - In Silico Prediction of Skin Permeability Using a Two-QSAR Approach. AU - Wu YW AU - Ta GH AU - Lung YC AU - Weng CF AU - Leong MK. PY - 2022 JO - Pharmaceutics DO - 10.3390/pharmaceutics14050961 UR - https://doi.org/10.3390/pharmaceutics14050961 ER -
APA
YW, W., GH, T., YC, L., CF, W., & MK., L. (2022). In Silico Prediction of Skin Permeability Using a Two-QSAR Approach.. Pharmaceutics. https://doi.org/10.3390/pharmaceutics14050961
Source records
- europe-pmc · retrieved 2026-09-26T17:59:55.343Z
- doaj · retrieved 2026-09-26T17:59:55.327Z