Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Carolina Barra

Showing results (1-10 of 17) with videos related to

Pageof 2
Sort By:
Expert Review of Proteomics|April 7, 2022
The interdependence of machine learning and LC-MS approaches for an unbiased understanding of the cellular immunopeptidomeMorten Nielsen, Nicola Ternette, Carolina Barra
Proteomics|January 13, 2018
Computational Tools for the Identification and Interpretation of Sequence Motifs in ImmunopeptidomesBruno Alvarez, Carolina Barra, Morten Nielsen, et al.
Journal of Autoimmunity|June 14, 2025
Autoimmune associated HLAs and T cell autoantigens exhibit common patterns across several autoimmune diseasesAstrid Brix Saksager, Freja Dahl Hede, Carolina Barra
Bioinformatics Advances|October 30, 2023
NetAllergen, a random forest model integrating MHC-II presentation propensity for improved allergenicity predictionYuchen Li, Peter Wad Sackett, Morten Nielsen, et al.
Journal of Leukocyte Biology|January 12, 2024
New light on the HLA-DR immunopeptidomic landscapeEmilie Egholm Bruun Jensen, Birkir Reynisson, Carolina Barra, et al.
Journal of Proteome Research|April 21, 2020
Improved Prediction of MHC II Antigen Presentation through Integration and Motif Deconvolution of Mass Spectrometry MHC Eluted Ligand DataBirkir Reynisson, Carolina Barra, Saghar Kaabinejadian, et al.
Frontiers in Immunology|February 14, 2022
Accurate MHC Motif Deconvolution of Immunopeptidomics Data Reveals a Significant Contribution of DRB3, 4 and 5 to the Total DR ImmunopeptidomeSaghar Kaabinejadian, Carolina Barra, Bruno Alvarez, et al.
Molecular & Cellular Proteomics : MCP|October 4, 2019
NNAlign_MA; MHC Peptidome Deconvolution for Accurate MHC Binding Motif Characterization and Improved T-cell Epitope PredictionsBruno Alvarez, Birkir Reynisson, Carolina Barra, et al.
Immunology|October 3, 2020
Improved prediction of HLA antigen presentation hotspots: Applications for immunogenicity risk assessment of therapeutic proteinsAnders Steenholdt Attermann, Carolina Barra, Birkir Reynisson, et al.
Genome Medicine|November 18, 2018
Footprints of antigen processing boost MHC class II natural ligand predictionsCarolina Barra, Bruno Alvarez, Sinu Paul, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Expert Review of Proteomics|April 7, 2022
The interdependence of machine learning and LC-MS approaches for an unbiased understanding of the cellular immunopeptidomeMorten Nielsen, Nicola Ternette, Carolina Barra
Proteomics|January 13, 2018
Computational Tools for the Identification and Interpretation of Sequence Motifs in ImmunopeptidomesBruno Alvarez, Carolina Barra, Morten Nielsen, et al.
Journal of Autoimmunity|June 14, 2025
Autoimmune associated HLAs and T cell autoantigens exhibit common patterns across several autoimmune diseasesAstrid Brix Saksager, Freja Dahl Hede, Carolina Barra
Bioinformatics Advances|October 30, 2023
NetAllergen, a random forest model integrating MHC-II presentation propensity for improved allergenicity predictionYuchen Li, Peter Wad Sackett, Morten Nielsen, et al.
Journal of Leukocyte Biology|January 12, 2024
New light on the HLA-DR immunopeptidomic landscapeEmilie Egholm Bruun Jensen, Birkir Reynisson, Carolina Barra, et al.
Journal of Proteome Research|April 21, 2020
Improved Prediction of MHC II Antigen Presentation through Integration and Motif Deconvolution of Mass Spectrometry MHC Eluted Ligand DataBirkir Reynisson, Carolina Barra, Saghar Kaabinejadian, et al.
Frontiers in Immunology|February 14, 2022
Accurate MHC Motif Deconvolution of Immunopeptidomics Data Reveals a Significant Contribution of DRB3, 4 and 5 to the Total DR ImmunopeptidomeSaghar Kaabinejadian, Carolina Barra, Bruno Alvarez, et al.
Molecular & Cellular Proteomics : MCP|October 4, 2019
NNAlign_MA; MHC Peptidome Deconvolution for Accurate MHC Binding Motif Characterization and Improved T-cell Epitope PredictionsBruno Alvarez, Birkir Reynisson, Carolina Barra, et al.
Immunology|October 3, 2020
Improved prediction of HLA antigen presentation hotspots: Applications for immunogenicity risk assessment of therapeutic proteinsAnders Steenholdt Attermann, Carolina Barra, Birkir Reynisson, et al.
Genome Medicine|November 18, 2018
Footprints of antigen processing boost MHC class II natural ligand predictionsCarolina Barra, Bruno Alvarez, Sinu Paul, et al.
Pageof 2