Method / resourcemodel-written summary

Sequence language models identified complex patterns in protein and nucleic acid sequences.

A claim from Artificial intelligence in plant salt stress research: from predictive models to multi-omics integration · 2025

Method / resourceauthor interpretationreview summarypositivebasis n/a

Claim · model-written summary

Sequence language models identified complex patterns in protein and nucleic acid sequences.

Outcome
identification of complex patternse0

Not reportedTaxonMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionValueQualifier

Verbatim

e0

“large language models based on protein and nucleic acid sequences enabled the identification of complex patterns underlying the 'language of life'.”

✓ located verbatim in the source · abstract, characters 762–909

Title

Artificial intelligence in plant salt stress research: from predictive models to multi-omics integration

Javier Santos del Río; Alicia Talavera; Noé Fernández-Pozo; et al. Journal of Experimental Botany 2025. doi:10.1093/jxb/eraf498

Other claims from this paper (5)

Record rev-8978c9157deee04ee93bb9e58b30e05bff73697210ccfff74249a3d30b42bd17 · schema claims-v0.9 · position 4 in the model’s answer