Frontier Expansion Sampling: A Method to Accelerate Conformational Search by Identifying Novel Seed Structures for...

Area of Science:

• Computational chemistry
• Biophysics
• Molecular modeling

Background:

• Traditional molecular dynamics (MD) simulations struggle with sampling efficiency, particularly for slow molecular motions.
• Inefficient sampling arises from redundant exploration of already sampled regions in conventional MD.

Purpose of the Study:

• To introduce Frontier Expansion Sampling (FEXS), a novel enhanced sampling method for molecular simulations.
• To improve the efficiency of sampling large-scale protein conformational changes.

Main Methods:

• FEXS iteratively selects diverse seed structures from the "frontier" of sampled regions to initiate new simulations.
• Integration of Gaussian mixture models and convex hull algorithms identifies frontier seeds, enhancing structural variation.
• Validation performed on protein systems: chignolin folding, maltodextrin binding protein transition, and bovine pancreatic trypsin inhibitor conformational change.

Main Results:

• FEXS demonstrated effectiveness in enhancing sampling for observing large-scale protein conformational changes across three tested systems.
• The method improved structural variation among initiated simulations compared to traditional approaches.
• FEXS achieved at least equivalent sampling efficiency to structural dissimilarity sampling (SDS).

Conclusions:

• FEXS is a novel and effective enhanced sampling method for molecular dynamics.
• The approach improves sampling efficiency and provides complementary information for studying protein dynamics.
• FEXS offers a valuable tool for advancing molecular simulations in biophysics and computational chemistry.