Computational systems biology approaches to anti-angiogenic cancer therapeutics

Stacey D. Finley, Liang Hui Chu, Aleksander S Popel

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish (US)
Pages (from-to)187-197
Number of pages11
JournalDrug Discovery Today
Volume20
Issue number2
DOIs
StatePublished - 2015

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Systems Biology
Computational Biology
Neoplasms
Physiological Phenomena
Therapeutics
Blood Vessels
Oxygen
Food
Pharmaceutical Preparations

ASJC Scopus subject areas

  • Drug Discovery
  • Pharmacology
  • Medicine(all)

Cite this

Computational systems biology approaches to anti-angiogenic cancer therapeutics. / Finley, Stacey D.; Chu, Liang Hui; Popel, Aleksander S.

In: Drug Discovery Today, Vol. 20, No. 2, 2015, p. 187-197.

Research output: Contribution to journalArticle

Finley, Stacey D. ; Chu, Liang Hui ; Popel, Aleksander S. / Computational systems biology approaches to anti-angiogenic cancer therapeutics. In: Drug Discovery Today. 2015 ; Vol. 20, No. 2. pp. 187-197.
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