Publication | Closed Access
When is a potential accurate enough for structure prediction? Theory and application to a random heteropolymer model of protein folding
44
Citations
15
References
1994
Year
EngineeringStructural BioinformaticsBiomolecular Structure PredictionMolecular BiologyComputational ChemistryMolecular DynamicsHigh Accuracy PredictionsMolecular DesignProtein FoldingMolecular SimulationComputational BiochemistryMacromolecular AssembliesBiophysicsStructure PredictionPotential AccurateProtein ModelingProtein Structure PredictionMolecular MechanicMolecular ModelingStructural BiologyBiomolecular EngineeringMonomer–monomer Interaction EnergiesNatural SciencesMolecular PropertyMolecular BiophysicsPotential FunctionComputational Biophysics
Attempts to predict molecular structure often try to minimize some potential function over a set of structures. Much effort has gone into creating potential functions and into creating algorithms for minimizing these potential functions. This paper develops a formalism that addresses a complementary question: What are the accuracy requirements for a potential function that predicts molecular structure? The formalism is applied to a simple model of a protein structure potential. The results of this calculation suggest that high accuracy predictions (∼1 Å rms deviation in α-carbon positions) of protein structures require monomer–monomer interaction energies accurate to within 5% to 15%. The paper closes with a discussion of the implications of these results for practical structure prediction.
| Year | Citations | |
|---|---|---|
Page 1
Page 1