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

KnowPredsite | Protein subcellular localization prediction of eukaryotes using a knowledge-based approach

A knowledge based method to predict the localization site(s) of both single-localized and multi-localized proteins. KnowPred site demonstrates the power of identifying related sequences in the knowledge base. The experiment results show that even though the sequence similarity is low, the local similarity is effective for prediction. Experiment results show that KnowPred site is a highly accurate prediction method for both single- and multi-localized proteins.

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

star_border star_border star_border star_border star_border
star star star star star

0 user reviews

star_border star_border star_border star_border star_border
star star star star star

No review has been posted.

KnowPredsite 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

KnowPredsite classification

KnowPredsite specifications

Unique identifier:
Restrictions to use:
Web user interface
Computer skills:

KnowPredsite 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



Bioinformatics Program, Taiwan International Graduate Program, Academia Sinica, Taipei, Taiwan, China; Bioinformatics Lab., Institute of Information Science, Academia Sinica, Taipei, Taiwan, China; Institute of Bioinformatics, National Chiao Tung University, Hsinchu, Taiwan, China

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