Recognizing novel drugs against Keap1 in Alzheimer’s disease using machine learning grounded computational studies

Alzheimer’s disease (AD) is the most common neurodegenerative disorder in the world, affecting an estimated 50 million individuals. The nerve cells become impaired and die due to the formation of amyloid-beta (Aβ) plaques and neurofibrillary tangles (NFTs). Dementia is one of the most common symptom...

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Detalles Bibliográficos
Autores principales: Mukerjee, Nobendu, Al-Khafaji, Khattab, Maitra, Swastika, Suhail Wadi, Jaafar, Sachdeva, Punya, Ghosh, Arabinda, Buchade, Rahul Subhash, Chaudhari, Somdatta Yashwant, Jadhav, Shailaja B., Das, Padmashree, Hasan, Mohammad Mehedi, Rahman, Md. Habibur, Albadrani, Ghadeer M., Altyar, Ahmed E., Kamel, Mohamed, Algahtani, Mohammad, Shinan, Khlood, Theyab, Abdulrahman, Abdel-Daim, Mohamed M., Ashraf, Ghulam Md., Rahman, Md. Mominur, Sharma, Rohit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9764216/
https://www.ncbi.nlm.nih.gov/pubmed/36561895
http://dx.doi.org/10.3389/fnmol.2022.1036552

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9764216/
https://www.ncbi.nlm.nih.gov/pubmed/36561895
http://dx.doi.org/10.3389/fnmol.2022.1036552

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