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CTLPred is a direct method for prediction of CTL epitopes crucial in subunit vaccine design.In direct methods the information or patterns of T cell epitopes instead of MHC binders were used for the development o f methods. The methods is based on elegant machine learning techniques like a Artificial Neural network and support vector machine . The methods also allows the consensus and combined prediction based on these two approaches.

Prediction Form
Protein Sequence
Name of Sequence[optional]
Paste your sequence[single amino acids codes]
or Upload Sequence
Input sequence format
Prediction Approaches
[Select one approach]
Quantitative matrices based QM Cutoff Score[2....-2]          &nb sp;    
ANN Cutoff Score[0....1]               
SVM Cutoff Score[-1.5....1.5]        
Only ANN Based
Only SVM Based
Consensus Approach
Combined Approach
Tabular Result
Display Top   Peptides

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