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CTLPred
(View Publication)
Resource Category :
Webserver -> Protein -> Peptides
Brief 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 . The methods also allows the consensus and combined prediction based on these two approaches.
Subject Area :
Vaccine Design
Institute/s :
Institute of Microbial Technology, Chandigarh, INDIA
Address of Institute/s :
Bioinformatics Centre, Institute of Microbial Technology, Sector 39A, Chandigarh, INDIA
State :
Chandigarh, UT
Country :
India
Authors/Contributors :
Manoj Bhasin; G P S Raghava
Contact Email :
raghava@imtech.res.in
Year :
2004
Language :
English
Keywords :
Algorithms; Artificial Intelligence; Computer Communication Networks; Databases, Genetic; Epitopes / chemistry / immunology; Humans; Major Histocompatibility Complex / genetics / immunology; Neural Networks (Computer); Predictive Value of Tests; T-Lymphocytes, Cytotoxic / chemistry / immunology
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