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Desarrollo de péptidos de unión a gadolinio basado en aprendizaje automático

Nir A Dayan, Makayla Long, Nicolas Scalzitti

    bioRxiv : the preprint server for biology
    |December 31, 2025
    PubMed
    Resumen

    Los investigadores desarrollaron una plataforma de aprendizaje automático para diseñar nuevos péptidos de unión a gadolinio. Estos péptidos mejoran la relaxividad del agente de contraste de resonancia magnética, ofreciendo una herramienta prometedora para la imagenología y el diagnóstico de precisión.

    Palabras clave:
    aprendizaje automáticopéptidos de unión a gadolinioagentes de contraste de resonancia magnéticarelaxividaddiagnóstico de precisióningeniería de proteínasbiología molecularbioquímica

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