Publication | Open Access
Communication: Entropic measure to prevent energy over-minimization in molecular dynamics simulations
14
Citations
33
References
2015
Year
Free EnergyEngineeringEntropic MeasureMolecular BiologyComputational ChemistryMolecular DynamicsMolecular ComputingProtein FoldingEnergy Minimization StepsMolecular SimulationMolecular CommunicationEnergy Over-minimizationBiophysicsProtein ChemistryPhysicsBiochemistryConformational StudyProtein ModelingProtein Structure PredictionNatural SciencesMolecular Dynamics SimulationsProtein EngineeringComputational Biophysics
This work examines the impact of energy over-minimization on an ensemble of biological molecules subjected to the potential energy minimization procedure in vacuum. In the studied structures, long potential energy minimization stage leads to an increase of the main- and side-chain entropies in proteins. We show that such over-minimization may diverge the protein structures from the near-native attraction basin which possesses a minimum of free energy. We propose a measure based on the Pareto front of total entropy for quality assessment of minimized protein conformation. This measure may help in selection of adequate number of energy minimization steps in protein modelling and, thus, in preservation of the near-native protein conformation.
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