DrugnomeAI is an ensemble machine-learning framework for predicting druggability of candidate drug targets

The druggability of targets is a crucial consideration in drug target selection. Here, we adopt a stochastic semi-supervised ML framework to develop DrugnomeAI, which estimates the druggability likelihood for every protein-coding gene in the human exome. DrugnomeAI integrates gene-level properties f...

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Detalles Bibliográficos
Autores principales: Raies, Arwa, Tulodziecka, Ewa, Stainer, James, Middleton, Lawrence, Dhindsa, Ryan S., Hill, Pamela, Engkvist, Ola, Harper, Andrew R., Petrovski, Slavé, Vitsios, Dimitrios
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9700683/
https://www.ncbi.nlm.nih.gov/pubmed/36434048
http://dx.doi.org/10.1038/s42003-022-04245-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9700683/
https://www.ncbi.nlm.nih.gov/pubmed/36434048
http://dx.doi.org/10.1038/s42003-022-04245-4

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