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Knowledge-based prediction of local structures using protein blocks
PB-kPRED is a server for knowledge-based prediction of local backbone structures in terms of protein blocks (PBs). It is built upon the PB-PENTAdb database.
Input
Provide in the textbox one or more protein sequences in fasta format as shown below.
Choice of method
Choose one of the two methods available and click on submit button.
The majority rule method is faster but is less precise. The hybrid method is more accurate but is slower. For details about these two methods, check here.
Waiting for results
If you chose the majority rule method, please wait for the results to display.
If you chose the hybrid method, a new page opens and you have the option to provide an email address. This is highly recommended if you have more than 1 sequence or if your sequence is very long. An email will be sent with the job id and once the results are available, a new email will be sent with the link for the results. Click on “Launch kPRED hybrid” to launch the prediction.
Results
On the result page, a table with sequence id, length of query protein, prediction score and estimated prediction accuracy are given (picture below).