Recommendationmodel-written summary

The authors proposed protein interaction evaluation near candidate SNPs as an additional in silico way to identify interacting genes.

A claim from Using genome‐wide associations and host‐by‐pathogen predictions to identify allelic interactions that control disease resistance · 2025

Recommendationauthor interpretationoriginal resultbasis n/a

Claim · model-written summary

The authors proposed protein interaction evaluation near candidate SNPs as an additional in silico way to identify interacting genes.

Taxon
maizeZea mayst0
Outcome
evaluation of protein-protein interactions from candidate genes near the interacting SNPse0

Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionValueQualifier

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Zea mays
Zea mays · TaxonAkwugo · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“Subsequent evaluation of protein-protein interactions from candidate genes near the interacting SNPs provides a further in silico evaluation method to expedite the identification of interacting genes”

✓ located verbatim in the source · abstract, characters 1611–1810
t0

“maize (Zea mays L.)”

✓ located verbatim in the source · abstract, characters 625–644

Title

Using genome‐wide associations and host‐by‐pathogen predictions to identify allelic interactions that control disease resistance

Owen Hudson; Jeremy Brawner The Plant Genome 2025. doi:10.1002/tpg2.70006

Other claims from this paper (3)

Record rev-75d97dfb40ba36aba05025cc80135d63a7c922e6385273363139432494a93e48 · schema claims-v0.9 · position 4 in the model’s answer