10.6084/m9.figshare.c.3932932_D1.v1
Laura Martinez-Martinez
Laura
Martinez-Martinez
Ma. Lleixà
Ma.
Lleixà
Gemma Boera-Carnicero
Gemma
Boera-Carnicero
Andrea Cortese
Andrea
Cortese
Jérôme Devaux
Jérôme
Devaux
Ana Siles
Ana
Siles
Yusuf Rajabally
Yusuf
Rajabally
Alicia Martinez-Piñeiro
Alicia
Martinez-Piñeiro
Alejandra Carvajal
Alejandra
Carvajal
Julio Pardo
Julio
Pardo
Emilien Delmont
Emilien
Delmont
Shahram Attarian
Shahram
Attarian
Jordi Diaz-Manera
Jordi
Diaz-Manera
Ilaria Callegari
Ilaria
Callegari
Enrico Marchioni
Enrico
Marchioni
Diego Franciotta
Diego
Franciotta
Luana Benedetti
Luana
Benedetti
Guiseppe Lauria
Guiseppe
Lauria
Oscar de la Calle Martin
Oscar
de la Calle Martin
Cándido Juárez
Cándido
Juárez
Isabel Illa
Isabel
Illa
Luis Querol
Luis
Querol
Additional file 1: of Anti-NF155 chronic inflammatory demyelinating polyradiculoneuropathy strongly associates to HLA-DRB15
Springer Nature
2017
CIDP
Antibodies
NF155
HLA DRB1*15
2017-11-16 05:00:00
Dataset
https://springernature.figshare.com/articles/dataset/Additional_file_1_of_Anti-NF155_chronic_inflammatory_demyelinating_polyradiculoneuropathy_strongly_associates_to_HLA-DRB15/5611549
This excel file is composed by five different tables. Tables S1 and S2 display all peptides that the IEDB tool predicted to bind to DRB1*15:01 and DRB1*15:02 alleles, respectively, ordered by predicted binding strenght. Table S3. displays the 10 peptides binding with highest scores to DRB1*15 alleles as calculated by the ProPred tool. Table S4. displays all NF155 peptides ordered by their calculated antigenicity according to the Kolaskar and Tongaonkar antigenicity scale. Table S5. displays a summary of the findings relating the antigenicity scale findings with HLA-peptide prediction results with both IEDB and ProPred methods. (XLS 893 kb)