Cargando…
SMG-BERT: integrating stereoscopic information and chemical representation for molecular property prediction
Molecular property prediction is a crucial task in various fields and has recently garnered significant attention. To achieve accurate and fast prediction of molecular properties, machine learning (ML) models have been widely employed due to their superior performance compared to traditional methods...
Autores principales: | Zhang, Jiahui, Du, Wenjie, Yang, Xiaoting, Wu, Di, Li, Jiahe, Wang, Kun, Wang, Yang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10348360/ https://www.ncbi.nlm.nih.gov/pubmed/37457837 http://dx.doi.org/10.3389/fmolb.2023.1216765 |
Ejemplares similares
-
SmgGDS: An Emerging Master Regulator of Prenylation and Trafficking by Small GTPases in the Ras and Rho Families
por: Brandt, Anthony C., et al.
Publicado: (2021) -
SMG8/SMG9 Heterodimer Loss Modulates SMG1 Kinase to Drive ATR Inhibitor Resistance
por: Llorca-Cardenosa, Marta J., et al.
Publicado: (2022) -
Hierarchical Graph Representation of Pharmacophore Models
por: Arthur, Garon, et al.
Publicado: (2020) -
Glycosylation at Asn254 Is Required for the Activation of the PDGF-C Protein
por: Hu, Wenjie, et al.
Publicado: (2021) -
A New Metric Quantifying Chemical and Biological Property of Small Molecule Metabolites and Drugs
por: Huang, Chuanbo, et al.
Publicado: (2020)