Biomedical generative pre-trained based transformer language model for age-related disease target discovery

Target discovery is crucial for the development of innovative therapeutics and diagnostics. However, current approaches often face limitations in efficiency, specificity, and scalability, necessitating the exploration of novel strategies for identifying and validating disease-relevant targets. Advan...

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Detalles Bibliográficos
Autores principales: Zagirova, Diana, Pushkov, Stefan, Leung, Geoffrey Ho Duen, Liu, Bonnie Hei Man, Urban, Anatoly, Sidorenko, Denis, Kalashnikov, Aleksandr, Kozlova, Ekaterina, Naumov, Vladimir, Pun, Frank W., Ozerov, Ivan V., Aliper, Alex, Zhavoronkov, Alex
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2023
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10564439/
https://www.ncbi.nlm.nih.gov/pubmed/37742294
http://dx.doi.org/10.18632/aging.205055

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10564439/
https://www.ncbi.nlm.nih.gov/pubmed/37742294
http://dx.doi.org/10.18632/aging.205055

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