Efficient sampling of large-scale transition pathways and intermediate conformations in sub-mesoscopic protein...

Area of Science:

• Biophysics
• Structural Biology
• Computational Biology

Background:

• Protein conformational changes are crucial for biological function, but the pathways between experimentally observed states are difficult to study.
• Cryo-electron microscopy provides structural data for large protein systems, but computational methods struggle with their size.

Purpose of the Study:

• To present eBDIMS2, an optimized algorithm for simulating complex protein conformational transitions in large assemblies.
• To enable efficient, desktop-based simulations of megadalton protein systems.

Main Methods:

• Developed eBDIMS2, an optimized version of the eBDIMS algorithm with quasi-linear size dependence.
• Integrated Elastic Networks with Brownian Dynamics for simulating sub-mesoscopic systems.
• Validated against experimental intermediates and microsecond Molecular Dynamics simulations.

Main Results:

• eBDIMS2 simulates complex transitions in megadalton protein assemblies, such as ATP synthases, on a desktop computer.
• Simulated pathways spontaneously visit experimentally observed intermediate states.
• Results align with enhanced and microsecond Molecular Dynamics simulations that require supercomputing resources.

Conclusions:

• eBDIMS2 provides an unprecedented ability to explore conformational changes in large, previously inaccessible protein systems.
• The method bridges the gap between experimental structural data and computational pathway analysis.
• Enables efficient investigation of protein dynamics and function.