AptaTrans: a deep neural network for predicting aptamer-protein interaction using pretrained encoders.

Shin, Incheol; Kang, Keumseok; Kim, Juseong; Sel, Sanghun; Choi, Jeonghoon; Lee, Jae-Wook; Kang, Ho Young; Song, Giltae

Shin, Incheol; Kang, Keumseok; Kim, Juseong; Sel, Sanghun; Choi, Jeonghoon; Lee, Jae-Wook; Kang, Ho Young; Song, Giltae.

Afiliación

Shin I; Division of Artificial Intelligence, Pusan National University, Busan, Republic of Korea.
Kang K; Division of Artificial Intelligence, Pusan National University, Busan, Republic of Korea.
Kim J; Division of Artificial Intelligence, Pusan National University, Busan, Republic of Korea.
Sel S; Division of Artificial Intelligence, Pusan National University, Busan, Republic of Korea.
Choi J; Division of Artificial Intelligence, Pusan National University, Busan, Republic of Korea.
Lee JW; Research & Development, NuclixBio, Seoul, Republic of Korea.
Kang HY; Research & Development, NuclixBio, Seoul, Republic of Korea.
Song G; Division of Artificial Intelligence, Pusan National University, Busan, Republic of Korea. gsong@pusan.ac.kr.

BMC Bioinformatics ; 24(1): 447, 2023 Nov 27.

Article en En | MEDLINE | ID: mdl-38012571

Asunto(s)

Aptámeros de Nucleótidos; Aptámeros de Nucleótidos/química; Técnica SELEX de Producción de Aptámeros/métodos; Programas Informáticos; Redes Neurales de la Computación; Algoritmos; Ligandos

Palabras clave

Aptamer protein interaction; Pretraing; SELEX; Structural representation; Transformer

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Aptámeros de Nucleótidos Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article

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