ArticleAdvances in chemical physics2012
Efficient and Unbiased Sampling of Biomolecular Systems in the Canonical Ensemble: A Review of Self-Guided Langevin Dynamics.
Article in Advances in chemical physics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Self-Guided Molecular Simulation Methods.International journal of molecular sciences · 2025Review
- Recent Developments in Amber Biomolecular Simulations.Journal of chemical information and modeling · 2025Article
- Self-Guided Molecular Simulation to Enhance Concerted Motion.International journal of molecular sciences · 2025Article
- Thermodynamic Integration in 3n Dimensions without Biases or Alchemy for Protein Interactions.Frontiers in physics · 2020Article
- Structural approaches for the DNA binding motifs prediction in Bacillus thuringiensis sigma-E transcription factor (σJournal of molecular modeling · 2019Article
- Molecular dynamics simulations of lipid nanodiscs.Biochimica et biophysica acta. Biomembranes · 2018Article
- Comparison of the umbrella sampling and the double decoupling method in binding free energy predictions for SAMPL6 octa-acid host-guest challenges.Journal of computer-aided molecular design · 2018Article
- Computing the binding affinity of a ligand buried deep inside a protein with the hybrid steered molecular dynamics.Biochemical and biophysical research communications · 2017Article
- On the Helix Propensity in Generalized Born Solvent Descriptions of Modeling the Dark Proteome.Frontiers in molecular biosciences · 2017Article
- How Does Hyperphopsphorylation Promote Tau Aggregation and Modulate Filament Structure and Stability?ACS chemical neuroscience · 2016Article
- Self-guided Langevin dynamics via generalized Langevin equation.Journal of computational chemistry · 2016Article
- A Virtual Mixture Approach to the Study of Multistate Equilibrium: Application to Constant pH Simulation in Explicit Water.PLoS computational biology · 2015Article
- Computational Calorimetry: High-Precision Calculation of Host-Guest Binding Thermodynamics.Journal of chemical theory and computation · 2015Article
- Computing Protein-Protein Association Affinity with Hybrid Steered Molecular Dynamics.Journal of chemical theory and computation · 2015Article
- Hybrid Steered Molecular Dynamics Approach to Computing Absolute Binding Free Energy of Ligand-Protein Complexes: A Brute Force Approach That Is Fast and Accurate.Journal of chemical theory and computation · 2015Article
- Multiscale methods for computational RNA enzymology.Methods in enzymology · 2015Article
- How fast is your camera? Timescales for molecular motion and their role in restraining molecular dynamics.Biophysical journal · 2014Article
- Roadmaps through free energy landscapes calculated using the multi-dimensional vFEP approach.Journal of chemical theory and computation · 2014Article
- Targeted conformational search with map-restrained self-guided Langevin dynamics: application to flexible fitting into electron microscopic density maps.Journal of structural biology · 2013Article
- Understanding the basis of a class of paradoxical mutations in AraC through simulations.Proteins · 2013Article
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3 authors.
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Abstract
This review provides a comprehensive description of the self-guided Langevin dynamics (SGLD) and the self-guided molecular dynamics (SGMD) methods and their applications. Example systems are included to provide guidance on optimal application of these methods in simulation studies. SGMD/SGLD has enhanced ability to overcome energy barriers and accelerate rare events to affordable time scales. It has been demonstrated that with moderate parameters, SGLD can routinely cross energy barriers of 20 kT at a rate that molecular dynamics (MD) or Langevin dynamics (LD) crosses 10 kT barriers. The core of these methods is the use of local averages of forces and momenta in a direct manner that can preserve the canonical ensemble. The use of such local averages results in methods where low frequency motion "borrows" energy from high frequency degrees of freedom when a barrier is approached and then returns that excess energy after a barrier is crossed. This self-guiding effect also results in an accelerated diffusion to enhance conformational sampling efficiency. The resulting ensemble with SGLD deviates in a small way from the canonical ensemble, and that deviation can be corrected with either an on-the-fly or a post processing reweighting procedure that provides an excellent canonical ensemble for systems with a limited number of accelerated degrees of freedom. Since reweighting procedures are generally not size extensive, a newer method, SGLDfp, uses local averages of both momenta and forces to preserve the ensemble without reweighting. The SGLDfp approach is size extensive and can be used to accelerate low frequency motion in large systems, or in systems with explicit solvent where solvent diffusion is also to be enhanced. Since these methods are direct and straightforward, they can be used in conjunction with many other sampling methods or free energy methods by simply replacing the integration of degrees of freedom that are normally sampled by MD or LD.
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