Alexandra J. Schiewe

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Peptide binding to class I major histocompatibility complex (MHCI) molecules is a key step in the immune response and the structural details of this interaction are of importance in the design of peptide vaccines. Algorithms based on primary sequence have had success in predicting potential antigenic peptides for MHCI, but such algorithms have limited(More)
Purpose. Amyloid-β (Aβ) is a self-aggregating protein found in senile plaques in Alzheimer's disease (AD) brain and is thought to play a major role in the disease process. Oxidative stress may be a predominant cause of the formation of these Aβ aggregates. This study aims at identifying possible sites of copper-catalyzed oxidation of Aβ1-40 using liquid(More)
Water molecules at protein-protein interfaces contribute to the close packing of atoms and ensure complementarity between the protein surfaces, as well as mediating polar interactions. Therefore, modeling of interface water is of importance in understanding the structural basis of biomolecular association. We present an algorithm, WATGEN, which predicts(More)
Peptide vaccination for cancer immunotherapy requires identification of peptide epitopes derived from antigenic proteins associated with the tumor. Such peptides can bind to MHC proteins (MHC molecules) on the tumor-cell surface, with the potential to initiate a host immune response against the tumor. Computer prediction of peptide epitopes can be based on(More)
As the function of modern control and computer systems becomes more complex, there is an increasing need of electronic analog circuits which automatically perform the mathematical operations of taking the logarithm and antilogarithm. The logarithmic function may be desired in itself as in conversion of linear inputs into logarithmic values for scale(More)
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