Department of Informatics and Center for Advanced Computing and Modelling, University of Rijeka, Radmile Matejcic 2, 51000 Rijeka, Croatia
Research Article
Evaluation of the Efficacy of Cancer Drugs by Using the Second Largest
Eigenvalue of Metabolic Cancer Pathways
Author(s): Drasko Tomic*, Karolj Skala, Lado Kranjcevic, Boris Pirkic, Sanja Stifter and Iva Smit
Cancer is a system with thousands of genes and proteins with the complex interactions between them. By
examining the cancer drug activity on only part of this system, we do not know in which direction the whole system
will evolve, and whether therapy will be useful or not. This is one of the main reasons why cancer therapies still do
not meet our expectations. In order to find more effective anticancer therapies, it is important to consider the impact
of drugs on the entire cancer system.
The second largest eigenvalue plays a key role in complex systems optimization. The algorithms minimizing
the second largest eigenvalue of graphs have been already used to speed up processes in computer networks and
differential cryptanalysis. Based on the aforementioned, it could be assumed that maximizing the second highest
eigenvalue could slow down the processe.. Read More»
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