Article/Book Listings
Chancellor, R. (2010). Legal Information Seeking in a Time-Constrained Environment: A Conceptual Model for Lawyers. International Journal of Legal Information, 38(3), 282-294. doi:10.1017/S0731126500005886
Abstract: The acquisition of legal information is critical to how lawyers conduct their work. The use of information-seeking models as a theoretical lens to analyze user behavior has been exhausted in the scholarly literature. However, very few models illustrate the dynamic... Read More
Keywords: Social Justice, Library and Information Science, Diversity, Equity & Inclusion
Contact: chancellor@cua.edu
Logsdon, E.A., Finley, S.D., Popel, A.S., and Mac Gabhann, F. (2014) ''A systems biology view of blood vessel growth and remodeling''. Journal of Cellular and Molecular Medicine. 18(8), 1491-1508.
Abstract: Blood travels throughout the body in an extensive network of vessels – arteries, veins and capillaries. This vascular network is not static, but instead dynamically remodels in response to stimuli from cells in the nearby tissue. In particular, the smallest... Read More
Keywords: angiogenesis, computational model, mathematical model, multi-scale modeling, systems biology
Contact: sfinley@usc.edu
Finley, S.D., Chu, L.H., Popel, A.S. (2015) ''Computational systems biology approaches to anti-angiogenic cancer therapeutics''. Drug Discovery Today. 20(2), 187-197.
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... Read More
Keywords: Systems biology, Mathematical modeling, Mathematical oncology, Mechanistic modeling, Immune cell signaling, Multi-cellular models, Angiogenesis, Cellular metabolism, Kinetic modeling
Contact: sfinley@usc.edu
Finley, S.D., Angelikopoulos, P., Koumoutsakos, P., and Popel, A.S. (2015) ''Pharmacokinetics of anti-VEGF agent aflibercept in cancer predicted by data driven, molecular-detailed model''. CPT: Pharmacometrics & Systems Pharmacology. 4(11), 641-649.
Abstract: Mathematical models can support the drug development process by predicting the pharmacokinetic (PK) properties of the drug and optimal dosing regimens. We have developed a pharmacokinetic model that includes a biochemical molecular interaction network linked to a whole-body compartment model.... Read More
Keywords: Systems biology, Mathematical modeling, Mathematical oncology, Mechanistic modeling, Immune cell signaling, Multi-cellular models, Angiogenesis, Cellular metabolism, Kinetic modeling
Contact: sfinley@usc.edu
Soto-Ortiz, L. and Finley, S.D. (2016) ''A cancer treatment based on synergy between anti-angiogenic and immune cell therapies''. Journal of Theoretical Biology. 394, 197-211.
Abstract: A mathematical model integrating tumor angiogenesis and tumor-targeted cytotoxicity by immune cells was developed to identify the therapeutic window of two distinct modes to treat cancer: (1) an anti-angiogenesis treatment based on the monoclonal antibody bevacizumab that targets tumor vasculature,... Read More
Keywords: Immunosuppression, Immunotherapy, Mathematical modeling, Monoclonal antibody, Tumor angiogenesis, VEGF
Contact: sfinley@usc.edu
Rohrs, J.A., Wang, P., and Finley, S.D. (2016) “Predictive model of lymphocyte-specific protein tyrosine kinase (LCK) autoregulation”. Cellular and Molecular Bioengineering. 9(3), 351-367.
Abstract: Lymphocyte-specific protein tyrosine kinase (LCK) is a key activator of T cells; however, little is known about the specific autoregulatory mechanisms that control its activity. We have constructed a model of LCK autophosphorylation and phosphorylation by the regulating kinase CSK.... Read More
Keywords: Computational modeling, Parameter estimation, Systems biology, T cell signaling
Contact: sfinley@usc.edu
Rohrs, J.A., Sulistio, C.D., and Finley, S.D. (2016) “Predictive model of thrombospondin-1 and vascular endothelial growth factor in breast tumor tissue”. npj Systems Biology and Applications (Nature publishing journal). 2, 16030.
Abstract: Angiogenesis, the formation of new blood capillaries from pre-existing vessels, is a hallmark of cancer. Thus far, strategies for reducing tumor angiogenesis have focused on inhibiting pro-angiogenic factors, while less is known about the therapeutic effects of mimicking the actions... Read More
Keywords: Systems biology, Mathematical modeling, Mathematical oncology, Mechanistic modeling, Immune cell signaling, Multi-cellular models, Angiogenesis, Cellular metabolism, Kinetic modeling
Contact: sfinley@usc.edu
Chu, L.H., Ganta, V.J., Choi, M., Chen, G., Finley, S.D., Annex, B., and Popel, A.S. (2016) “A multiscale computational model predicts distribution of anti-angiogenic isoform VEGF165b in peripheral arterial disease in human and mouse”. Scientific Reports. 6, 37030.
Abstract: Angiogenesis is the growth of new blood vessels from pre-existing microvessels. Peripheral arterial disease (PAD) is caused by atherosclerosis that results in ischemia mostly in the lower extremities. Clinical trials including VEGF-A administration for therapeutic angiogenesis have not been successful.... Read More
Keywords: Angiogenesis, Computer modelling
Contact: sfinley@usc.edu
Typpo, K.V., Wong, H.R., Finley, S.D., Daniels, R.C., Seely, J.E., and Lacroix, J. (2017) “Monitoring severity of multiple organ dysfunction syndrome: New technologies”. Pediatric Critical Care Medicine. 18(3 Suppl 1): S24-S31.
Abstract: Objective: To describe new technologies (biomarkers and tests) used to assess and monitor the severity and progression of multiple organ dysfunction syndrome in children as discussed as part of the Eunice Kennedy Shriver National Institute of Child Health and Human Development... Read More
Keywords: biomarkers , monitoring , multiple organ dysfunction syndrome , pediatric , variability
Contact: sfinley@usc.edu
Roy, M. and Finley, S.D. (2017) “Computational model predicts the effects of targeting cellular metabolism in pancreatic cancer”. Frontiers in Physiology. 8:217.
Abstract: Reprogramming of energy metabolism is a hallmark of cancer that enables the cancer cells to meet the increased energetic requirements due to uncontrolled proliferation. One prominent example is pancreatic ductal adenocarcinoma, an aggressive form of cancer with an overall 5-year... Read More
Keywords: kinetic model, metabolic modeling, parameter optimization, sensitivity analysis, systems biology
Contact: sfinley@usc.edu