Cargando…
From theory to experiment: transformer-based generation enables rapid discovery of novel reactions
Deep learning methods, such as reaction prediction and retrosynthesis analysis, have demonstrated their significance in the chemical field. However, the de novo generation of novel reactions using artificial intelligence technology requires further exploration. Inspired by molecular generation, we p...
Autores principales: | Wang, Xinqiao, Yao, Chuansheng, Zhang, Yun, Yu, Jiahui, Qiao, Haoran, Zhang, Chengyun, Wu, Yejian, Bai, Renren, Duan, Hongliang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9438336/ https://www.ncbi.nlm.nih.gov/pubmed/36056425 http://dx.doi.org/10.1186/s13321-022-00638-z |
Ejemplares similares
-
Virtual data augmentation method for reaction prediction
por: Wu, Xinyi, et al.
Publicado: (2022) -
Transformer-based multitask learning for reaction prediction under low-resource circumstances
por: Qiao, Haoran, et al.
Publicado: (2022) -
Transfer Learning: Making Retrosynthetic Predictions Based on a Small Chemical Reaction Dataset Scale to a New Level
por: Bai, Renren, et al.
Publicado: (2020) -
Generation of novel Diels–Alder reactions using a generative adversarial network
por: Li, Sheng, et al.
Publicado: (2022) -
Anti-Tumor Drug Discovery Based on Natural Product β-Elemene: Anti-Tumor Mechanisms and Structural Modification
por: Bai, Ziqiang, et al.
Publicado: (2021)