Publications by authors named "Crocioni Giulia"
Article Synopsis
- The interaction between peptides and MHC molecules is crucial for understanding autoimmunity and improving cancer immunotherapies.
- Recent advancements reveal that traditional sequence-based prediction methods have limitations, prompting the need for better approaches.
- The new structure-based methods, utilizing geometric deep learning and self-supervised learning, show improved accuracy and efficiency in predicting MHC-bound peptides, even outperforming conventional methods with significantly less data.
Major histocompatibility complexes (MHC) play a key role in the immune surveillance system in all jawed vertebrates. MHC class I molecules randomly sample cytosolic peptides from inside the cell, while MHC class II sample exogenous peptides. Both types of peptide:MHC complex are then presented on the cell surface for recognition by αβ T cells (CD8+ and CD4+, respectively).
View Article and Find Full Text PDFTechnological advancements in the field of Biomedical Engineering have allowed impaired individuals to use assistive devices in order to improve their quality of life. In the case of deafblind subjects, who experience both visual and auditory loss, the majority of available assistive devices are invasive (e.g.
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