title: Computational systems biology approaches to anti-angiogenic cancer therapeutics.
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.
authors.affiliation: Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA. Electronic address: sfinley@usc.edu.
authors.forename: Stacey D
authors.initials: SD
authors.lastname: Finley
authors.affiliation: Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
authors.forename: Liang-Hui
authors.initials: LH
authors.lastname: Chu
authors.affiliation: Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
authors.forename: Aleksander S
authors.initials: AS
authors.lastname: Popel
mesh_terms: D020533:Angiogenesis Inhibitors / Q000494:pharmacology / Q000627:therapeutic use; D055808:Drug Discovery; D006801:Humans; D008954:Models, Biological; D009369:Neoplasms / Q000188:drug therapy; D049490:Systems Biology
chemical_list: D020533:Angiogenesis Inhibitors