From experimental studies to computational approaches: recent trends in designing novel therapeutics for...

Area of Science:

• Biochemistry and Molecular Biology
• Pathology
• Drug Discovery

Background:

• Amyloidosis involves the accumulation of misfolded proteins, leading to organ damage and severe illnesses, including neurodegenerative and non-neuropathic conditions.
• The precise molecular mechanisms driving amyloidosis pathogenesis remain elusive, hindering therapeutic development.
• Understanding protein aggregation is crucial for addressing the cytotoxicity and cellular apoptosis associated with amyloid diseases.

Purpose of the Study:

• To review and summarize experimental and computational strategies for modulating amyloid aggregation.
• To provide an overview of emerging therapeutic agents for amyloidosis.
• To discuss challenges and future perspectives in developing treatments for protein misfolding diseases.

Main Methods:

• Comprehensive literature review of experimental techniques used to study and modulate protein aggregation.
• Analysis of computational approaches applied to amyloid formation and toxicity.
• Synthesis of recent advancements in novel therapeutic agents targeting amyloid pathways.

Main Results:

• Identified a range of experimental and computational methods effective in modulating amyloid aggregation.
• Highlighted promising novel therapeutic agents and strategies.
• Discussed the complexities and potential hurdles in translating research findings into clinical applications.

Conclusions:

• Integrated approaches combining experimental and computational methods offer a promising avenue for understanding and treating amyloidosis.
• Further research into protein aggregation mechanisms is essential for developing effective therapeutic interventions.
• The field is advancing towards innovative treatment strategies to combat protein misfolding diseases.