Abstract: A method of identifying one or more biomarkers associated with one or more drugs effective to stop or repress proliferation of cancer cells, and a system for predicting effectiveness of the same. The method includes statistically analyzing (i) a first dataset of expression levels of proteins or glycoproteins in the cancer cells and (ii) a second dataset of responses of the cancer cells to drugs to identify at least one biomarker associated with effective repression of the cancer cells, and correlating or associating at least one protein or glycoprotein biomarker with a response of the cells to at least one of the drugs effective to stop or repress the proliferation of the cancer cells. The protein and/or glycoprotein expression level datasets may be generated experimentally or taken from published information. The method advantageously determines and/or predicts drug sensitivity of various cancer cells using protein and glycoprotein biomarkers.

Abstract: Peptides are described and methods of using the peptides to treat or prevent disease which peptides are described by the formula:SEQ. ID NO:1wherein X is an aromatic amino acid, and n is 1, 2, or 3; X' is either a non-polar or polar uncharged amino acid, and n' is 1, 2, or 3; X" is a basic amino acid, and n" is 1 or 2.