Ligand-based prediction of hERG-mediated cardiotoxicity based on the integration of different machine learning techniques.
- DOI
- 10.3389/fphar.2022.951083
- Published
- 2022
- Container
- Frontiers in pharmacology
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 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.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- 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:10.3389/fphar.2022.951083,
title = {Ligand-based prediction of hERG-mediated cardiotoxicity based on the integration of different machine learning techniques.},
author = {Delre P and Lavado GJ and Lamanna G and Saviano M and Roncaglioni A and Benfenati E and Mangiatordi GF and Gadaleta D},
year = {2022},
journal = {Frontiers in pharmacology},
doi = {10.3389/fphar.2022.951083},
url = {https://doi.org/10.3389/fphar.2022.951083}
}RIS
TY - JOUR TI - Ligand-based prediction of hERG-mediated cardiotoxicity based on the integration of different machine learning techniques. AU - Delre P AU - Lavado GJ AU - Lamanna G AU - Saviano M AU - Roncaglioni A AU - Benfenati E AU - Mangiatordi GF AU - Gadaleta D PY - 2022 JO - Frontiers in pharmacology DO - 10.3389/fphar.2022.951083 UR - https://doi.org/10.3389/fphar.2022.951083 ER -
APA
P, D., GJ, L., G, L., M, S., A, R., E, B., GF, M., & D, G. (2022). Ligand-based prediction of hERG-mediated cardiotoxicity based on the integration of different machine learning techniques.. Frontiers in pharmacology. https://doi.org/10.3389/fphar.2022.951083
Source records
- pubmed · retrieved 2026-11-10T08:32:30.267Z