Abstract
Protein folding and misfolding are critical processes that determine the structure and function of proteins. Misfolded proteins are associated with a variety of diseases, including Alzheimer's, Parkinson's, and cystic fibrosis. Bioinformatics approaches have become essential for understanding these processes, as they allow for the prediction of protein folding pathways and the identification of misfolding-prone regions. This article reviews the role of bioinformatics in predicting protein folding and misfolding, focusing on computational tools and algorithms used for protein structure prediction, folding simulations, and the identification of misfolding hotspots. We also explore the applications of these approaches in drug discovery and disease prevention.
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