Cargando…
Deep Retrosynthetic Reaction Prediction using Local Reactivity and Global Attention
[Image: see text] As a fundamental problem in chemistry, retrosynthesis aims at designing reaction pathways and intermediates for a target compound. The goal of artificial intelligence (AI)-aided retrosynthesis is to automate this process by learning from the previous chemical reactions to make new...
Autores principales: | Chen, Shuan, Jung, Yousung |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2021
|
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8549044/ https://www.ncbi.nlm.nih.gov/pubmed/34723264 http://dx.doi.org/10.1021/jacsau.1c00246 |
Ejemplares similares
-
Retrosynthetic Reaction Prediction Using Neural Sequence-to-Sequence
Models
por: Liu, Bowen, et al.
Publicado: (2017) -
Retrosynthetic reaction pathway prediction through neural machine translation of atomic environments
por: Ucak, Umit V., et al.
Publicado: (2022) -
Substructure-based neural machine translation for retrosynthetic prediction
por: Ucak, Umit V., et al.
Publicado: (2021) -
A retrosynthetic analysis algorithm implementation
por: Watson, Ian A., et al.
Publicado: (2019) -
Retrosynthetic accessibility score (RAscore) – rapid machine learned synthesizability classification from AI driven retrosynthetic planning
por: Thakkar, Amol, et al.
Publicado: (2021)