Archaeasins as a promising resource for developing next-generation antibiotics uncovered via deep learning
- DOI
- 10.1016/j.engmic.2025.100241
- Published
- 12
- Container
- Engineering Microbiology
- 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:10.1016/j.engmic.2025.100241,
title = {Archaeasins as a promising resource for developing next-generation antibiotics uncovered via deep learning},
author = {Huan Du and Yang Liu},
year = {2025},
journal = {Engineering Microbiology},
doi = {10.1016/j.engmic.2025.100241},
url = {https://doi.org/10.1016/j.engmic.2025.100241}
}RIS
TY - JOUR TI - Archaeasins as a promising resource for developing next-generation antibiotics uncovered via deep learning AU - Huan Du AU - Yang Liu PY - 2025 JO - Engineering Microbiology DO - 10.1016/j.engmic.2025.100241 UR - https://doi.org/10.1016/j.engmic.2025.100241 ER -
APA
Du, H., & Liu, Y. (2025). Archaeasins as a promising resource for developing next-generation antibiotics uncovered via deep learning. Engineering Microbiology. https://doi.org/10.1016/j.engmic.2025.100241
Source records
- doaj · retrieved 2026-09-25T06:30:57.539Z