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Ensemble-Driven Molecular Dynamics
1962 - 2024
Molecular simulation matured into ensemble-based sampling with robust thermostatting and external-bath coupling that sustains long biomolecular trajectories. Time-scale aware strategies combined multi-time-scale integration with constraint solving to accelerate large systems while preserving stability. Free-energy and sampling frameworks matured, including methods for estimating free-energy landscapes and ensemble analyses that enable reliable thermodynamic inferences. Biomolecular force fields and energy models advanced across all-atom representations and parameter reparameterization, with versatile energy functions for proteins and nucleic acids. Software ecosystems standardized MD workflows, with widely adopted platform tools and trajectory-analysis pipelines shaping daily practice.
• Molecular dynamics (MD) work consolidated around robust ensemble control, establishing constant temperature and/or pressure simulations, external-bath coupling, and unified thermostatting frameworks to sustain long trajectories [3] [2] [14] [20].
• Time-scale aware simulation paradigms emerged, combining multi-time-scale integration with robust constraint solving to accelerate large biomolecular simulations while maintaining stability [4] [13] [9].
• Free-energy and sampling frameworks matured, including the Weighted Histogram Analysis Method for biomolecules and ensemble/phase-coexistence approaches that enable robust thermodynamic inferences [5] [18] [19].
• Biomolecular force fields and energy models advanced, spanning all-atom force fields, parameter reparameterization, and versatile energy functions used for proteins and nucleic acids [8] [7] [16].
• Software ecosystems and platform-level MD tools standardized workflows, with prominent role of macromolecular modeling packages and trajectory-analysis platforms exemplified by CHARMm and GROMACS [1] [15].