Cargando…
PROSTATA: a framework for protein stability assessment using transformers
MOTIVATION: Accurate prediction of change in protein stability due to point mutations is an attractive goal that remains unachieved. Despite the high interest in this area, little consideration has been given to the transformer architecture, which is dominant in many fields of machine learning. RESU...
Autores principales: | Umerenkov, Dmitriy, Nikolaev, Fedor, Shashkova, Tatiana I, Strashnov, Pavel V, Sindeeva, Maria, Shevtsov, Andrey, Ivanisenko, Nikita V, Kardymon, Olga L |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10651431/ https://www.ncbi.nlm.nih.gov/pubmed/37935419 http://dx.doi.org/10.1093/bioinformatics/btad671 |
Ejemplares similares
-
SEMA: Antigen B-cell conformational epitope prediction using deep transfer learning
por: Shashkova, Tatiana I., et al.
Publicado: (2022) -
Cell type–specific interpretation of noncoding variants using deep learning–based methods
por: Sindeeva, Maria, et al.
Publicado: (2023) -
Cáncer de próstata
por: Montes de Oca, Luis F.
Publicado: (2014) -
Cancer de Prostata : /
por: Romero Márquez, Nelson
Publicado: (2015) -
Cáncer de próstata"/
por: Barradas Mendoza, Pablo Enríque
Publicado: (1993)