Artificial intelligence framework identifies candidate targets for drug repurposing in Alzheimer’s disease

BACKGROUND: Genome-wide association studies (GWAS) have identified numerous susceptibility loci for Alzheimer’s disease (AD). However, utilizing GWAS and multi-omics data to identify high-confidence AD risk genes (ARGs) and druggable targets that can guide development of new therapeutics for patient...

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Detalles Bibliográficos
Autores principales: Fang, Jiansong, Zhang, Pengyue, Wang, Quan, Chiang, Chien-Wei, Zhou, Yadi, Hou, Yuan, Xu, Jielin, Chen, Rui, Zhang, Bin, Lewis, Stephen J., Leverenz, James B., Pieper, Andrew A., Li, Bingshan, Li, Lang, Cummings, Jeffrey, Cheng, Feixiong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8751379/
https://www.ncbi.nlm.nih.gov/pubmed/35012639
http://dx.doi.org/10.1186/s13195-021-00951-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8751379/
https://www.ncbi.nlm.nih.gov/pubmed/35012639
http://dx.doi.org/10.1186/s13195-021-00951-z

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