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Statistical reweighting is useful and sometimes necessary for analysis of equilibrium enhanced sampling methods, such as umbrella sampling or replica exchange, and also in experimental cases where biasing factors are explicitly known.
Enhanced sampling methods are gaining interest in the MD community as larger systems and longer time scales can be simulated faster than with classic approaches [36].
Enhanced sampling methods allow this timescale to be effectively extended in order to probe biologically relevant conformational changes and chemical reactions.
A dictionary of such methods was created to list popular enhanced sampling methods.
For larger biological systems, even with enhanced sampling methods, exploring the free energy landscape remains computationally challenging.
This review presents an overview of new simulation approaches, the theory behind enhanced sampling methods and success stories of their applications with a direct impact on biotechnology or drug design.
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In this study, we use explicit solvent molecular simulation together with a novel enhanced sampling method that utilizes concepts from network theory to map out the conformational transition between active and inactive states of L1L.
If a suitable set of snapshots could be obtained and justified, enhanced MD sampling methods such as replica exchange could be applied to obtain pathways between bond addition cycle intermediates.
A number of large injection volume methods have been developed for capillary zone electrophoresis, such as solid-phase microextraction, transient capillary isotachoporesis, and field enhanced sample injection.
For instance, the local elevation method enhances sampling by adding penalty potential to any state previously sampled (also known as a taboo search algorithm).
11 A development out of the SWARM-MD approach of Huber and van Gunsteren, 12, 13 we term this method swarm-enhanced sampling molecular dynamics (sesMD).
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