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PEPNet: un marco de dos etapas de nube de puntos con incrustación jerárquica y modelado de interacción

Jiayi Chen¹, Guixu Zhang¹, Zhijian Xu^2,3

¹School of Computer Science and Technology, East China Normal University, 3663 Zhongshan North Road, Putuo District, Shanghai 200062, China.

Briefings in bioinformatics

|February 19, 2026

Resumen

PEPNet utiliza nubes de puntos a nivel atómico para mejorar la predicción de epítopos, superando a los métodos existentes. Este enfoque novedoso mejora el reconocimiento anticuerpo-antígeno al preservar detalles espaciales detallados para un mejor diseño de anticuerpos terapéuticos.

Palabras clave:

nube de puntos 3D interacciones antígeno-anticuerpo predicción de epítopos incrustación jerárquica estrategia de preentrenamiento

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