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  • cmb 71: 385,

Protein Folding: From Biology to AI Therapeutics

Dr. Martin Keller*
Department of Molecular Sciences, University of Vienna, Austria
*Corresponding Author : Dr. Martin Keller, Department of Molecular Sciences, University of Vienna, Austria, Email: mkeller@univie-ms.at

Received Date: May 01, 2025 / Published Date: May 29, 2025

Abstract

This collection explores protein folding and misfolding, revealing the crucial role of molecular chaperones in maintaining proteome integrity and the pathogenesis of neurodegenerative diseases. It delves into co-translational folding, cellular stress responses like ISR and ER quality control, and the revolutionary impact of AI in protein structure prediction. The data also covers advanced single-molecule and computational methods that elucidate folding landscapes and kinetics. The emerging landscape of small molecule therapeutics targeting protein misfolding pathways offers promising strategies for conditions like Alzheimer’s, Parkinson’s, and cystic fibrosis.

Citation: Keller DM (2025) Protein Folding: From Biology to AI Therapeutics. cmb 71: 385.

Copyright: 漏 2025 Dr. Martin Keller This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.

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