Computer simulation of cancer predicts new therapies
A computational model of cancer metabolism that predicts genes that are essential for cancer-cell growth is reported in a study published online in Molecular Systems Biology. This study provides an important step towards more selective and more personalized cancer treatments.
Cancer cells cause disease, in part, because of their rapid, uncontrolled growth. But, in order to maintain this abnormal growth, the cells must adapt in special ways. In particular, they must alter their metabolism, i.e. the way they absorb, break down, and process the nutrients they need to live and grow.
By understanding these changes in cancer metabolism, researchers hope to identify drugs and therapies that specifically target and disrupt the growth of cancer cells while minimizing toxic effects on healthy tissues.
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Reference
- Folger, O., Jerby, L., et al. (2011). Predicting selective drug targets in cancer through metabolic networks Molecular Systems Biology DOI: 10.1038/msb.2011.35
Keywords: computer simulations, cancer metabolism, personalised cancer treatment
29. 6. 2011 ecancermedicalscience
