AtSubP 2.0

AtSubP-2.0 prediction server

Configure an Arabidopsis localization run

Choose one input method, select the prediction levels and model strategy, then run the analysis. Accession sequences are fetched automatically at submission.

Step 1

Provide protein input

Choose one input route. Your loaded sequence remains editable before submission.

Up to 10,000 sequences; each header must begin with >.

Step 2

Prediction options

Select Level(s)
Select Model Strategy

Publication

Please cite AtSubP-2.0

Duhan, N., & Kaundal, R. (2025). AtSubP-2.0: An integrated web server for the annotation of Arabidopsis proteome subcellular localization using deep learning. The Plant Genome, 18(1), e20536.DOI: 10.1002/tpg2.20536