Graph-based deep learning approach for high-throughput protein-DNA interaction scoring.
- DOI
- 10.1038/s41401-025-01688-3
- Published
- 2025-12-01
- Container
- Acta Pharmacol Sin
- Publisher
- Not recorded
- Open access
- no
Credibility signals
limited evidence Score 43/100 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.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- 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:10.1038/s41401-025-01688-3,
title = {Graph-based deep learning approach for high-throughput protein-DNA interaction scoring.},
author = {Zhao YH and Wang Y and Shen C and Jiang DJ and Gu SK and Zhao HF and You ZY and Hou TJ and Kang Y.},
year = {2026},
journal = {Acta Pharmacol Sin},
doi = {10.1038/s41401-025-01688-3},
url = {https://doi.org/10.1038/s41401-025-01688-3}
}RIS
TY - JOUR TI - Graph-based deep learning approach for high-throughput protein-DNA interaction scoring. AU - Zhao YH AU - Wang Y AU - Shen C AU - Jiang DJ AU - Gu SK AU - Zhao HF AU - You ZY AU - Hou TJ AU - Kang Y. PY - 2026 JO - Acta Pharmacol Sin DO - 10.1038/s41401-025-01688-3 UR - https://doi.org/10.1038/s41401-025-01688-3 ER -
APA
YH, Z., Y, W., C, S., DJ, J., SK, G., HF, Z., ZY, Y., TJ, H., & Y., K. (2026). Graph-based deep learning approach for high-throughput protein-DNA interaction scoring.. Acta Pharmacol Sin. https://doi.org/10.1038/s41401-025-01688-3
Source records
- europe-pmc · retrieved 2026-11-10T13:29:26.102Z