Sequence-based Module

This page allows users to predict SAM interacting residues in a protein from its primary sequence. This module uses binary profiles of a protein sequence to predict SAM binding sites in a protein. Models were developed using different machine learning techniques like SVM, ANN, Random Forest, KNN. This module allow users to submit multiple protein sequences at a time in FASTA For more information see help page

Sequence Submission Form


Job/Sequence Name: [optional]   

Paste protein sequences (Fasta format): Example Output
Or upload protein sequence file in fasta format:

Select Machine Learning Techique used for developing model
Random Forest SVM ANN KNN

Select the Probability Score (between 0 to 9):

Enter email address[optional]:
(Enter email if you want to receive your result via email)