2.6. T-cell peptides prediction

SA Sahar Obi Abd Albagi
MA Mosab Yahya Al-Nour
ME Mustafa Elhag
AA Asaad Tageldein Idris Abdelihalim
EH Esraa Musa Haroun
ME Mohammed Elmujtba Adam Essa
MA Mustafa Abubaker
HD Hemchandra Deka
AG Arabinda Ghosh
MH Mohammed A. Hassan
request Request a Protocol
ask Ask a question
Favorite

To predict the interaction with different Major Histocompatibility Complex class protein 1 (MHC I) alleles, the MHC I binding prediction tool on the IEDB [25] was used. All peptide length was set as 9 amino acids. To predict the binding affinity, the Artificial Neural Network (ANN) prediction method was selected with a half-maximal inhibitory concentration (IC50) value of less than 100.

In contrast, to predict the interaction with different Major Histocompatibility Complex protein class II (MHC II) alleles, The Major Histocompatibility Complex class II (MHC II) binding prediction was used. To predict the binding affinity, the NN align algorithm was selected with an IC50 value of less than 500. The Human allele reference sets (HLA DR, DP, and DQ) were included in the prediction.

Do you have any questions about this protocol?

Post your question to gather feedback from the community. We will also invite the authors of this article to respond.

post Post a Question
0 Q&A