CTLPred – SVM & ANN Based CTL epitope Prediction method

CTLPred

:: DESCRIPTION

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 .

::DEVELOPER

CTLPred Team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

  NO

:: MORE INFORMATION

Citation

Bhasin,M. and Raghava, G.P.S. (2004)
Prediction of CTL epitopes using QM, SVM and ANN techniques.
Vaccine,22,3195-3201.

Pcleavage – SVM based 20S Proteasomal Prediction Method

Pcleavage

:: DESCRIPTION

 Pcleavage is a support vector machine based method for the prediction of constitutive as well as immunoproteasome cleavage sites in antigenic sequences.

::DEVELOPER

Pcleavage Team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

  NO

:: MORE INFORMATION

Citation

Bhasin M & Raghava GP. (2005).
Pcleavage: an SVM based method for prediction of constitutive proteasome and immunoproteasome cleavage sites in antigenic sequences.
Nucleic Acids Res. 33: W202-7