Cargando…
Improving molecular property prediction through a task similarity enhanced transfer learning strategy
Deeply understanding the properties (e.g., chemical or biological characteristics) of small molecules plays an essential role in drug development. A large number of molecular property datasets have been rapidly accumulated in recent years. However, most of these datasets contain only a limited amoun...
Autores principales: | Li, Han, Zhao, Xinyi, Li, Shuya, Wan, Fangping, Zhao, Dan, Zeng, Jianyang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9579493/ https://www.ncbi.nlm.nih.gov/pubmed/36274947 http://dx.doi.org/10.1016/j.isci.2022.105231 |
Ejemplares similares
-
EXP2SL: A Machine Learning Framework for Cell-Line-Specific Synthetic Lethality Prediction
por: Wan, Fangping, et al.
Publicado: (2020) -
A deep-learning framework for multi-level peptide–protein interaction prediction
por: Lei, Yipin, et al.
Publicado: (2021) -
Modeling multi-species RNA modification through multi-task curriculum learning
por: Xiong, Yuanpeng, et al.
Publicado: (2021) -
Full-length ribosome density prediction by a multi-input and multi-output model
por: Tian, Tingzhong, et al.
Publicado: (2021) -
A knowledge-guided pre-training framework for improving molecular representation learning
por: Li, Han, et al.
Publicado: (2023)