Predicting transcriptional regulators in plants in the era of artificial intelligence.

Ko DK, Brandizzi F

DOI: 10.1016/j.pbi.2026.102955
Published: 2026 Oct
Container: Current opinion in plant biology
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. Source: Crossref; license: CC0 metadata
cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
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. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
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. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.1016/j.pbi.2026.102955,
  title = {Predicting transcriptional regulators in plants in the era of artificial intelligence.},
  author = {Ko DK and Brandizzi F},
  year = {2026},
  journal = {Current opinion in plant biology},
  doi = {10.1016/j.pbi.2026.102955},
  url = {https://doi.org/10.1016/j.pbi.2026.102955}
}

RIS

TY  - JOUR
TI  - Predicting transcriptional regulators in plants in the era of artificial intelligence.
AU  - Ko DK
AU  - Brandizzi F
PY  - 2026
JO  - Current opinion in plant biology
DO  - 10.1016/j.pbi.2026.102955
UR  - https://doi.org/10.1016/j.pbi.2026.102955
ER  -

APA

DK, K., & F, B. (2026). Predicting transcriptional regulators in plants in the era of artificial intelligence.. Current opinion in plant biology. https://doi.org/10.1016/j.pbi.2026.102955

Source records

pubmed · retrieved 2026-09-26T06:25:58.838Z