Computational Biophysics · AI · Experiments

Understanding the molecular origins of neurodegenerative diseases

We combine AI and physics-based modeling, molecular simulations, and biophysical/biochemical experiments to uncover the molecular mechanisms, transition states, and critical seed structures that drive neurodegenerative protein aggregation.

Sari Lab research overview showing amyloid formation mechanisms, AI binder designs for amyloids, RNA in amyloid formation, and membrane fusion mechanisms in neurotransmitter release

Research directions

From molecular mechanisms to molecular design.

Our work connects physics-based molecular simulations, modern AI methods, and targeted biochemical and biophysical experiments.

Our approach

Physics + artificial intelligence + experiment

Protein aggregation and other complex biological processes involve dynamic molecular systems that cannot be understood from a single static structure.

We combine atomistic molecular dynamics simulations, enhanced sampling, free-energy calculations, AI-based molecular design, and experimental validation to characterize transient molecular states and interactions.

Our goal is to uncover fundamental molecular mechanisms and translate these insights into new diagnostic and therapeutic strategies for neurodegenerative diseases.

Read about our research →

Opportunities

Interested in joining the Sari Lab?

We welcome inquiries from postdoctoral researchers, graduate students, undergraduate students, and collaborators interested in computational and experimental biophysics, protein aggregation, molecular simulation, and AI-based molecular design.

View opportunities