Cargando…
Limitations of representation learning in small molecule property prediction
Representation learning is making inroads into drug discovery. A study in Nature Communications emphasizes multiple limitations in property prediction. The results suggest that continued research and improvements are required for this specific area that coalesces machine learning and molecular medic...
Autores principales: | Dias, Ana Laura, Bustillo, Latimah, Rodrigues, Tiago |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10575963/ https://www.ncbi.nlm.nih.gov/pubmed/37833279 http://dx.doi.org/10.1038/s41467-023-41967-3 |
Ejemplares similares
-
A focus on the use of real-world datasets for yield prediction
por: Bustillo, Latimah, et al.
Publicado: (2023) -
The rise of automated curiosity-driven discoveries in chemistry
por: Bustillo, Latimah, et al.
Publicado: (2023) -
Towards the catalytic activation of inert small molecules by main-group ambiphiles
por: Dewhurst, Rian D., et al.
Publicado: (2020) -
Tobacco smoke is not limited to second hand smoke
por: Díez-Izquierdo, Ana, et al.
Publicado: (2022) -
Multimodal representation learning for predicting molecule–disease relations
por: Wen, Jun, et al.
Publicado: (2023)