Prediction of MHC class I binding peptides using probability distribution functions

Binding of peptides to specific Major Histo-compatibility Complex (MHC) molecule is important for understanding immunity and has applications to vaccine discovery and design of immunotherapy. Artificial neural networks (ANN) are widely used by predictions tools to classify the peptides as binders or...

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Detalles Bibliográficos
Autores principales: Soam, Sudhir Singh, Khan, Feroz, Bhasker, Bharat, Mishra, Bhartendu Nath
Formato: Texto
Lenguaje:English
Publicado: Biomedical Informatics Publishing Group 2009
Materias:
Prediction of MHC class I binding peptides using probability distribution functions
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2732036/
https://www.ncbi.nlm.nih.gov/pubmed/19759816

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2732036/
https://www.ncbi.nlm.nih.gov/pubmed/19759816

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