Cargando…
Generative Recurrent Networks for De Novo Drug Design
Generative artificial intelligence models present a fresh approach to chemogenomics and de novo drug design, as they provide researchers with the ability to narrow down their search of the chemical space and focus on regions of interest. We present a method for molecular de novo design that utilizes...
Autores principales: | Gupta, Anvita, Müller, Alex T., Huisman, Berend J. H., Fuchs, Jens A., Schneider, Petra, Schneider, Gisbert |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5836943/ https://www.ncbi.nlm.nih.gov/pubmed/29095571 http://dx.doi.org/10.1002/minf.201700111 |
Ejemplares similares
-
Combining generative artificial intelligence and on-chip synthesis for de novo drug design
por: Grisoni, Francesca, et al.
Publicado: (2021) -
Application of Generative Autoencoder in De Novo Molecular Design
por: Blaschke, Thomas, et al.
Publicado: (2017) -
De Novo Design of Bioactive Small Molecules by Artificial Intelligence
por: Merk, Daniel, et al.
Publicado: (2018) -
Leveraging molecular structure and bioactivity with chemical language models for de novo drug design
por: Moret, Michael, et al.
Publicado: (2023) -
Synthetic Activators of Cell Migration Designed by Constructive Machine Learning
por: Bruns, Dominique, et al.
Publicado: (2019)