Instructions

Output format

Data

Software

ApoplastP: prediction of effectors and plant proteins in the apoplast using machine learning

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Introduction

ApoplastP is a machine learning method for predicting localization of proteins to the plant apoplast. ApoplastP can distinguish non-apoplastic proteins from apoplastic proteins for both plant proteins and pathogen proteins. In particular, ApoplastP can predict if an effector localizes to the plant apoplast.

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Submission

To run ApoplastP, please submit your proteins of interest below. For online submission, the maximum number of protein sequences that can be submitted is 4000. If you want to run ApoplastP on your local machine, you can download the current version here.

Note that predictions for protein sequences with excessive unknown bases (X) are unreliable.

Paste a protein sequence or several protein sequences (FASTA format) into the field below:
Submit a file in FASTA format directly from your local disk:

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Citation

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Contact

For comments, suggestions and reporting bugs please contact jana.sperschneider@csiro.au

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Terms of use

CSIRO Web Portal Agreement

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