Journal
DRUG DISCOVERY TODAY
Volume 20, Issue 2, Pages 187-197Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.drudis.2014.09.026
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Funding
- NCI NIH HHS [F32 CA154213, R01 CA138264, P30 CA006973] Funding Source: Medline
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Angiogenesis is an exquisitely regulated process that is required for physiological processes and is also important in numerous diseases. Tumors utilize angiogenesis to generate the vascular network needed to supply the cancer cells with nutrients and oxygen, and many cancer drugs aim to inhibit tumor angiogenesis. Anti-angiogenic therapy involves inhibiting multiple cell types, molecular targets, and intracellular signaling pathways. Computational tools are useful in guiding treatment strategies, predicting the response to treatment, and identifying new targets of interest. Here, we describe progress that has been made in applying mathematical modeling and bioinformatics approaches to study anti-angiogenic therapeutics in cancer.
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