Adaptive Quantum Computation in Changing Environments Using a Multi-Mimotopic Algorithmic Approach for Biclustering Analysis of Expression Data Projective Simulation on an Anticancer Peptide SVS-1 Multipharmacophore as a Potential Drug-Like Efficator in Preceding Membrane Neutralization

Nikolaos SG
2017 Modern Applications of Bioequivalence & Bioavailability  
Anticancer peptides (ACPs) are polycationic amphiphiles capable of preferentially killing a wide spectrum of cancer cells relative to noncancerous cells. Their primary mode of action is an interaction with the cell membrane and subsequent activation of lyric effects however it remains controversial the exact mechanism responsible for this mode of action. It has in previous studies been shown that utilizing zeta potential analyses it was possible to demonstrate the interaction of a small
more » ... of a small anticancer peptide with membrane model systems and cancer cells. Electrostatic interactions have a pivotal role in the cell killing process and in contrast to the AMPs action cell death occurs without achieving full neutralization of the membrane charge. The advent of microarray technology has revolutionized the search for genes that are differentially expressed across a range of cell types or experimental conditions. Traditional clustering methods, such as hierarchical clustering, are often difficult to deploy effectively since genes rarely exhibit similar expression pattern across a wide range of conditions. Web-enabled service called GEMS (Gene Expression Mining Server) for bolstering microarray data where Users may upload expression data and specify a set of criteria. GEMS perform baluster mining based on a Gibbs sampling paradigm.
doi:10.19080/mabb.2017.02.555585 fatcat:ks4ynfggfjgkvjyjcmoqnbpeli