Video Experimental Relacionado

Updated: Jan 13, 2026

Exploring Sequence Space to Identify Binding Sites for Regulatory RNA-Binding Proteins
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Exploring Sequence Space to Identify Binding Sites for Regulatory RNA-Binding Proteins

Published on: August 9, 2019

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CoBRA: predicción de sitios de unión de compuestos utilizando un modelo de lenguaje de ARN

Wonkyeong Jang1, Woong-Hee Shin1,2

  • 1Department of Biomedical Informatics, Korea University College of Medicine, 161 Jeongneung-ro, Seongbuk-gu, Seoul 02708, Republic of Korea.

Briefings in bioinformatics
|January 11, 2026
PubMed
Resumen

Una nueva herramienta de aprendizaje profundo, la predicción de sitios de unión de compuestos para ARN (CoBRA), predice con precisión las interacciones ARN-fármaco utilizando únicamente datos de secuencia. Este método supera a los enfoques basados en estructuras, ofreciendo una forma flexible de descubrir nuevas terapias dirigidas al ARN.

Palabras clave:
modelo de lenguaje de ARNpredicción de sitios de unión ARN-molécula pequeñared neuronal convolucionalaprendizaje profundoincrustación preentrenada

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