MIF ‐ MAPMS: Enhancing identification of myelin autoantigenic peptides in multiple sclerosis through multimodal information fusion
Thai researchers developed MIF-MAPMS to classify candidate myelin autoantigenic peptides in multiple sclerosis by fusing peptide sequences, SMILES, descriptors, fingerprints and biomolecular-model embeddings. It improved MCC on benchmark and independent tests and released code/data, but remains an in-silico screen without T-cell or patient validation.
Thai researchersWatshara Shoombuatong · Nalini Schaduangrat · Pramote Chumnanpuen · Lawankorn Mookdarsanit · Pakpoom Mookdarsanit