Publication | Open Access
Structure optimization in an off-lattice protein model
82
Citations
27
References
2003
Year
Chain LengthsOff-lattice ModelsNative StatesBiomolecular Structure PredictionProtein FoldingNatural SciencesMolecular BiologyProtein ModelingProtein Structure PredictionStructure OptimizationComputational ChemistryQuantum ChemistryMedicineBiophysicsStructural BiologyComputational Biophysics
We study an off-lattice protein toy model with two species of monomers interacting through modified Lennard-Jones interactions. Low energy configurations are optimized using the pruned-enriched-Rosenbluth method (PERM), hitherto employed to native state searches only for off-lattice models. For two dimensions we found states with lower energy than previously proposed putative ground states for all chain lengths >/=13. This indicates that PERM has the potential to produce native states also for more realistic protein models. For d=3, where no published ground states exist, we present some putative lowest energy states for future comparison with other methods.
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