Multiscale biomolecular simulations in the exascale era

Area of Science:

• Computational Biology
• Biophysics
• Biochemistry

Background:

• Biological systems exhibit complexity across multiple scales, requiring advanced simulation techniques.
• Classical molecular dynamics (MD) simulations have limitations in capturing certain molecular processes.
• Exascale computing presents new possibilities for life science research, particularly in molecular simulations.

Purpose of the Study:

• To discuss the current state and future of multiscale biomolecular simulations on exascale supercomputers.
• To focus on the application of quantum mechanics/molecular mechanics (QM/MM) molecular dynamics (MD) simulations.
• To present a novel, high-performance multiscale simulation framework for exascale systems.

Main Methods:

• Development of a versatile and high-performance multiscale simulation framework.
• Utilizing exascale supercomputing resources.
• Application of QM/MM MD simulations to complex biological problems.

Main Results:

• Demonstrated efficient utilization of state-of-the-art supercomputers.
• Successfully applied the framework to uncover complex biological mechanisms.
• Highlighted the potential of the framework for leveraging exascale computing capabilities.

Conclusions:

• Multiscale simulations, especially QM/MM MD, are essential for comprehensive understanding of biological systems.
• Innovative algorithms and software are necessary to harness exascale computing power.
• The developed framework shows promise for advancing biological discovery on exascale platforms.