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CaRinDB: una base de datos integrada de mutaciones cancerosas comunes y parámetros de la red de interacción de

Daniela Coelho Batista Guedes Pereira^1,2, João Vitor Ferreira Cavalcante¹, Laise Florentino Cavalcanti¹

¹Bioinformatics Multidisciplinary Environment (BioME), Digital Metropolis Institute (IMD), Universidade Federal do Rio Grande do Norte (UFRN), Natal, RN 59078-900, Brazil.

Bioinformatics advances

|February 9, 2026

Resumen

CaRinDB es una nueva base de datos que integra datos de mutación del cáncer, predicciones funcionales e impactos estructurales. Ayuda a los investigadores a comprender cómo las mutaciones de error de sentido afectan la función y la estructura de las proteínas, apoyando el desarrollo de herramientas de IA.

Área de la Ciencia:

La bioinformática es la bioinformática.
Biología computacional Biología computacional.
La genómica es la genómica.

Sus antecedentes:

Predecir el impacto de la mutación de error de sentido en la estructura y función de las proteínas es crucial para la investigación del cáncer.
Los métodos computacionales y de IA actuales luchan por evaluar completamente las consecuencias funcionales de las sustituciones de residuos debido a la complejidad de las proteínas.

Objetivo del estudio:

Introducir CaRinDB, una nueva base de datos que consolida los datos de mutación de malentendido asociados al cáncer con información funcional y estructural.
Proporcionar un recurso integral para explorar y analizar los datos de mutación del cáncer y sus impactos estructurales.

Principales métodos:

Datos integrados de mutaciones de error asociadas al cáncer, predicciones funcionales, características moleculares y frecuencias alélicas.
Parámetros derivados de la red de interacción de residuos (RIN) del Banco de Datos de Proteínas y las estructuras AlphaFold.
Desarrolló un portal web intuitivo con gráficos y tablas personalizados para la exploración de datos.

Principales resultados:

CaRinDB es la primera base de datos que combina diversas características de anotación de las mutaciones del cáncer con sus impactos estructurales.
Utiliza parámetros de gráficos RIN y datos compilados para el desarrollo de herramientas de IA.
Ofrece una interfaz fácil de usar para visualizar y analizar datos de mutaciones asociadas al cáncer.

Conclusiones:

CaRinDB proporciona un recurso valioso e integrado para la investigación de la mutación del cáncer.
Facilita una comprensión más profunda de los cambios estructurales inducidos por la mutación y las consecuencias funcionales.
Apoya el avance de las herramientas de investigación del cáncer impulsadas por IA.

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