OneOPES, a Combined Enhanced Sampling Method to Rule Them All.

Area of Science:

• Computational chemistry
• Biophysics
• Molecular dynamics simulations

Background:

• Enhanced sampling techniques revolutionize molecular dynamics (MD) by enabling rare event studies and free energy calculations.
• Collective variable (CV)-based methods accelerate dynamics but struggle with complex systems.
• Parallel tempering methods use multiple replicas but can be computationally expensive and explore irrelevant states.

Purpose of the Study:

• To introduce OneOPES, a novel replica exchange method combining multireplica simulations and CV-based enhanced sampling.
• To overcome the limitations of existing enhanced sampling techniques in molecular dynamics.
• To provide an efficient and robust framework for studying complex biophysical systems.

Main Methods:

• Developed OneOPES, a replica exchange method integrating multireplica simulations with CV-based enhanced sampling.
• Applied OneOPES to benchmark systems, including protein-ligand binding and protein folding.
• Demonstrated efficient phase space sampling without requiring ideal CVs or extensive parameter tuning.

Main Results:

• OneOPES efficiently accelerates phase space sampling in molecular dynamics simulations.
• The method requires neither ideal collective variables nor a large number of replicas.
• Successful applications to protein-ligand binding and protein folding demonstrate its robustness.

Conclusions:

• OneOPES offers a promising new direction for enhanced sampling techniques in MD simulations.
• This method provides an efficient and robust framework for tackling complex and unexplored problems.
• It overcomes key limitations of existing CV-based and replica exchange approaches.