Publications by authors named "G N Paliouras"
Article Synopsis
- Peptide binding to class-I MHC receptors is essential for immune responses against diseases, making the identification of peptide antigens vital for developing effective therapies.
- Recent research emphasizes the role of structural analysis in peptide-MHC interactions, leading to the development of modeling tools that generate possible peptide poses in the MHC-I cleft based on scoring functions.
- The study introduces RankMHC, a Learning-to-Rank predictor designed to identify the most accurate peptide binding poses, outperforming traditional scoring methods and compatible with various structural modeling tools.
Article Synopsis
- - This article introduces the BioASQ Synergy research process, designed to improve collaboration between biomedical experts and automated question-answering systems to enhance research outcomes.
- - The process involves experts assessing the answers provided by the systems, and this feedback helps refine the systems while generating new questions, fostering an ongoing dialogue and deeper understanding of emerging issues.
- - Initial results show that experts are satisfied with the quality of answers, indicating the potential of BioASQ Synergy to help researchers effectively navigate and access current findings in the rapidly evolving biomedical field.
Tabular data is a way to structure, organize, and present information conveniently and effectively. Real-world tables present data in two dimensions by arranging cells in matrices that summarize information and facilitate side-by-side comparisons. Recent research efforts aim to train large models to understand structured tables, a process that enables knowledge transfer in various downstream tasks.
View Article and Find Full Text PDFThe cellular immune response comprises several processes, with the most notable ones being the binding of the peptide to the Major Histocompability Complex (MHC), the peptide-MHC (pMHC) presentation to the surface of the cell, and the recognition of the pMHC by the T-Cell Receptor. Identifying the most potent peptide targets for MHC binding, presentation and T-cell recognition is vital for developing peptide-based vaccines and T-cell-based immunotherapies. Data-driven tools that predict each of these steps have been developed, and the availability of mass spectrometry (MS) datasets has facilitated the development of accurate Machine Learning (ML) methods for class-I pMHC binding prediction.
View Article and Find Full Text PDFBackground: The EURO-NMD Registry collects data from all neuromuscular patients seen at EURO-NMD's expert centres. In-kind contributions from three patient organisations have ensured that the registry is patient-centred, meaningful, and impactful. The consenting process covers other uses, such as research, cohort finding and trial readiness.
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