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Prediction and Evaluation of Protein Aggregation with Computational Methods.

Authors :
Hassan M
Shahzadi S
Li MS
Kloczkowski A
Source :
Methods in molecular biology (Clifton, N.J.) [Methods Mol Biol] 2025; Vol. 2867, pp. 299-314.
Publication Year :
2025

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.<br /> (© 2025. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.)

Details

Language :
English
ISSN :
1940-6029
Volume :
2867
Database :
MEDLINE
Journal :
Methods in molecular biology (Clifton, N.J.)
Publication Type :
Academic Journal
Accession number :
39576588
Full Text :
https://doi.org/10.1007/978-1-0716-4196-5_17