Cargando…
SIRT2i_Predictor: A Machine Learning-Based Tool to Facilitate the Discovery of Novel SIRT2 Inhibitors
A growing body of preclinical evidence recognized selective sirtuin 2 (SIRT2) inhibitors as novel therapeutics for treatment of age-related diseases. However, none of the SIRT2 inhibitors have reached clinical trials yet. Transformative potential of machine learning (ML) in early stages of drug disc...
Autores principales: | Djokovic, Nemanja, Rahnasto-Rilla, Minna, Lougiakis, Nikolaos, Lahtela-Kakkonen, Maija, Nikolic, Katarina |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9864763/ https://www.ncbi.nlm.nih.gov/pubmed/36678624 http://dx.doi.org/10.3390/ph16010127 |
Ejemplares similares
-
The Identification of a SIRT6 Activator from Brown Algae Fucus distichus
por: Rahnasto-Rilla, Minna K., et al.
Publicado: (2017) -
BET Inhibition Upregulates SIRT1 and Alleviates Inflammatory Responses
por: Kokkola, Tarja, et al.
Publicado: (2015) -
Natural polyphenols as sirtuin 6 modulators
por: Rahnasto-Rilla, Minna, et al.
Publicado: (2018) -
SIRT1 and SIRT2: emerging targets in neurodegeneration
por: Donmez, Gizem, et al.
Publicado: (2013) -
PE and PET oligomers’ interplay with membrane bilayers
por: Järvenpää, Joni, et al.
Publicado: (2022)