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Prediction and Evaluation of Protein Aggregation with Computational Methods.

Mubashir Hassan·Saba Shahzadi·Mai Suan Li·Andrzej Kloczkowski
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Abstract

Protein and peptide aggregation has recently become one of the most studied biomedical problems due to its central role in several neurodegenerative disorders and of biotechnological importance. Multiple in silico methods, databases, tools, and algorithms have been developed to predict aggregation of proteins and peptides to better understand fundamental mechanisms of various aggregation diseases. Here, we attempt to provide a brief overview of bioinformatic methods and tools to better understand molecular mechanisms of aggregation disorders. Furthermore, through a better understanding of protein aggregation mechanisms, it might be possible to design novel therapeutic agents to treat and hopefully prevent protein aggregation diseases.

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Computational BiologyProtein AggregatesHumansProteinsAlgorithmsDatabases, ProteinSoftwareNeurodegenerative DiseasesProtein Aggregation, PathologicalBioinformaticsComputational methodsProtein aggregationProtein aggregation databasesProtein aggregation diseasesJournal ArticleReviewResearch Support, N.I.H., Extramural

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Mubashir Hassan, Saba Shahzadi, Mai Suan Li, Andrzej Kloczkowski. 2025. Prediction and Evaluation of Protein Aggregation with Computational Methods.. https://doi.org/10.1007/978-1-0716-4196-5_17

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