Main logo
tutorial arrow
Create your own tool library
Bookmark tools and put favorites into folders to find them easily.



Predicts if a protein is localized to the plant apoplast. ApoplastP is a data-driven machine learning approach. It outperforms the common approach of selecting apoplastic effectors from secretomes based on a high cysteine content, improving prediction accuracy by over 13%. This method also recognizes the localization of cytoplasmic effectors with high accuracy, even if they enter the plant cell cytoplasm from apoplast.

User report

tutorial arrow
Vote up tools and offer feedback
Give value to tools and make your expertise visible
Give your feedback on this tool
Sign up for free to join and share with the community

0 user reviews

0 user reviews

No review has been posted.

ApoplastP forum

tutorial arrow
Communicate with other users
Participate in the forum to get support for using tools. Ask questions about technical specifications.
Take part in the discussion
Sign up for free to ask question and share your advices

No open topic.

ApoplastP classification

ApoplastP specifications

Software type:
Restrictions to use:
Computer skills:
Command line interface
Operating system:

ApoplastP distribution


tutorial arrow
Upload and version your source code
Get a DOI for each update to improve tool traceability. Archive your releases so the community can easily visualize progress on your work.
Facilitate your tool traceability
Sign up for free to upload your code and get a DOI

No versioning.

ApoplastP support


This tool is not available anymore.


tutorial arrow
Promote your skills
Define all the tasks you managed and assign your profile the appropriate badges. Become an active member.
Promote your work
Sign up for free to badge your contributorship



Centre for Environment and Life Sciences, CSIRO Agriculture and Food, Perth, WA, Australia; Black Mountain Laboratories, CSIRO Agriculture and Food, Canberra, ACT, Australia; Centre for Crop and Disease Management, Department of Environment and Agriculture, Curtin University, Bentley, Western Australia, Australia

Funding source(s)

Supported by a CSIRO OCE Postdoctoral Fellowship.

By using OMICtools you acknowledge that you have read and accepted the terms of the end user license agreement.