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  AI and protein structure and function in neurological disease: relevance to disease management

Outeiro, T. F., & Vieira, T. C. R. G. (2023). AI and protein structure and function in neurological disease: relevance to disease management. Nature Reviews Neurology, 19(8), 453-454. doi:10.1038/s41582-023-00840-z.

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s41582-023-00840-z.pdf (Publisher version), 705KB
 
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 Creators:
Outeiro, Tiago Fleming1, Author           
Vieira, Tuane C. R. G., Author
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1Guest Group Experimental Neurodegeneration, Max Planck Institute for Multidisciplinary Sciences, Max Planck Society, ou_3505608              

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 Abstract: Protein misfolding and aggregation are common features of neurodegenerative disorders. Artificial intelligence has emerged as a powerful tool that can predict protein structures with remarkable accuracy, helping us to gain a more comprehensive understanding of protein aggregation and potentially informing new strategies to improve the diagnosis and treatment of neurodegenerative disorders.

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Language(s): eng - English
 Dates: 2023-07-022023-08
 Publication Status: Issued
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 Rev. Type: Peer
 Identifiers: DOI: 10.1038/s41582-023-00840-z
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Project name : T.F.O. is supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy (EXC 2067/1 project no. 390729940) and by SFB1286 (B8). T.C.R.G.V. is supported by Fundação de Amparo à Pesquisa do Estado do Rio de Janeiro (FAPERJ) and by the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq).
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Title: Nature Reviews Neurology
Source Genre: Journal
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Publ. Info: New York, NY, USA : Nature Publ. Group
Pages: - Volume / Issue: 19 (8) Sequence Number: - Start / End Page: 453 - 454 Identifier: ISSN: 1759-4758
CoNE: https://pure.mpg.de/cone/journals/resource/1759-4758