Machine learning reveals that structural features distinguishing promiscuous and non-promiscuous compounds depend on target combinations
Abstract Compounds with defined multi-target activity (promiscuity) play an increasingly important role in drug discovery. However, the molecular basis of multi-target activity is currently only little understood. In particular, it remains unclear whether structural features exist that generally cha...
Guardado en:
Autores principales: | Christian Feldmann, Jürgen Bajorath |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/83b7d8f712e044dbb9f8249f70d76be9 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Explainable machine learning predictions of dual-target compounds reveal characteristic structural features
por: Christian Feldmann, et al.
Publicado: (2021) -
Arrow Against Profane & Promiscuous Dancing
Publicado: (2017) -
The structural basis of promiscuity in small multidrug resistance transporters
por: Ali A. Kermani, et al.
Publicado: (2020) -
Structural basis for promiscuous action of monoterpenes on TRP channels
por: Thi Hong Dung Nguyen, et al.
Publicado: (2021) -
The adaptive function of masturbation in a promiscuous African ground squirrel.
por: Jane M Waterman
Publicado: (2010)