Claim · model-written summary
The tool identified non-canonical SSPs that lack traditional signal peptides.
- Outcome
- SSPs that lack traditional signal peptidese0
Not reportedTaxonMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionValueQualifier
Verbatim
e0“SSPs that lack traditional signal peptides”
Title
S 2 ‐ PepAnalyst : A Web Tool for Predicting Plant Small Signalling Peptides
Kelly L. Vomo‐Donfack; Mariem Abaach; Ana M. Luna; et al. Plant Biotechnology Journal 2026. doi:10.1111/pbi.70536
Other claims from this paper (4)
- Method / resource The SSP prediction tool achieved high predictive accuracy of 99.5% when validated against experimentally confirmed peptides, while maintaining low false-negative rates.
- Method / resource The tool successfully classified peptides into functionally distinct families such as CLE and RALF.
- Method / resource The tool performed robustly across both model plants and agriculturally important species.
- Method / resource The tool is provided as a freely available web resource.