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C D Berweger

Publications and source records attributed to C D Berweger.

2 recordsLinked to original sources

Molecular-dynamics simulation of the beta domain of metallothionein with a semi-empirical treatment of the metal core.

The three-metal-containing beta domain of rat liver metallothionein-2 in aqueous solution was simulated with different metal contents. The Cd(3), the CdZn(2), and the Zn(3) variant were investigated using a conventional molecular dynamics simulation, as well as a simulation with a semi-empirical quantum-chemical description (MNDO and MNDO/d) of the metal core embedded in a classical environment. For the purely classical simulations, the standard GROMOS96 force-field parameters were used, and parameters were estimated for cadmium. The results of both kinds of simulations were compared to each other and to the corresponding experimental X-ray crystallographic and NMR solution data. The purely classical simulations were found to produce a too compact metal cluster with partially incorrect geometries, which affected the enfolding protein backbone structure. The inclusion of MNDO/d for the treatment of the metal cluster improved the results to give correct cluster geometries and an overall protein structure in agreement with the experiment. The metal cluster and the cysteine residues bound to it are structurally stable, while the irregular polypeptide backbone loops between the cysteines exhibit a considerable flexibility. MNDO without extension to d orbitals failed to maintain the structure of the metal core.

Animals↗

Estimating imprecision profiles in biochemical analysis.

We describe a computer program IMPROFIL which determines an imprecision profile of an analytical method from replicated measurements of samples. It calculates the variance function, the coefficient of variation, the power of definition, the critical limit, the limit of detection and the lower limit of quantification. The primary property, the variance function, is determined by two alternative methods: the conventional maximum approximate conditional likelihood method and the newly developed weighted absolute deviation method. For all quantities, confidence intervals are obtained using the bootstrap procedure. The program combines the use of robust numerical techniques, user-friendliness and integration into a spreadsheet program for data pre- and post-processing. The algorithms used are described in detail. Tests with synthetic data sets are used to validate the method and to establish its powers and limitations. Finally, its application to a practical analytical task (tumor marker CA 15-3 in human sera) is reported. For the method to yield a reliable estimate of the variance function and the derived properties, certain minimum requirements on the raw data must be met: They have to be spread throughout the concentration range of interest, there should not be less than three replicates per specimen, and there must be at least of the order of 25 (better at 50) specimens.

Biomarkers, Tumor↗