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AMYPred-FRL is a novel approach for accurate prediction of amyloid proteins by using feature representation learning

Abstract Amyloid proteins have the ability to form insoluble fibril aggregates that have important pathogenic effects in many tissues. Such amyloidoses are prominently associated with common diseases such as type 2 diabetes, Alzheimer's disease, and Parkinson's disease. There are many type...

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主要な著者: Phasit Charoenkwan, Saeed Ahmed, Chanin Nantasenamat, Julian M. W. Quinn, Mohammad Ali Moni, Pietro Lio’, Watshara Shoombuatong
フォーマット: Artigo
言語:Inglês
出版事項: Nature Portfolio 2022-05-01
シリーズ:Scientific Reports
オンライン・アクセス:https://doi.org/10.1038/s41598-022-11897-z
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