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)