Publication | Closed Access
PROTEIN FORCE-FIELD PARAMETERS OPTIMIZED WITH THE PROTEIN DATA BANK I: FORCE-FIELD OPTIMIZATIONS
19
Citations
23
References
2004
Year
Structural BioinformaticsBiomolecular Structure PredictionMolecular BiologyForce-field OptimizationsProtein SystemsProtein FoldingProteomicsBiophysicsProtein ModelingProtein Structure PredictionProtein BioinformaticsStructural BiologyNatural SciencesComputational BiologyProtein EngineeringForce-field ParametersMedicineAmber Parm99Computational Biophysics
We optimized five existing sets of force-field parameters for protein systems by our recently proposed method. The five force fields are AMBER parm94, AMBER parm96, AMBER parm99, CHARMM version 22, and OPLS-AA. The method consists of minimizing the sum of the square of the force acting on each atom in the proteins with the structures from the Protein Data Bank (PDB). We selected the partial-charge and backbone torsion-energy parameters for this optimization, and 100 molecules from the PDB were used. We gave detailed comparisons of the optimized force fields and found that there is a tendency of convergence towards the same function for the torsion-energy term.
| Year | Citations | |
|---|---|---|
Page 1
Page 1