Exploring use of unsupervised clustering to associate signaling profiles of GPCR ligands to clinical response
Identifying ligands which activate the specific effectors driving particular in vivo drug effects remains challenging. Here, the authors apply unsupervised clustering of pharmacodynamic parameters to classify GPCR ligands into different categories with similar signaling profiles and shared frequency...
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| Auteurs principaux: | , , , , , , , , , , , , , , , , , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Nature Portfolio
2019
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/c0db3f1cf110426bbd5f35d40fd3681b |
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