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Items: 30

1.

Exploring the Extracellular Regulation of the Tumor Angiogenic Interaction Network Using a Systems Biology Model.

Li D, Finley SD.

Front Physiol. 2019 Jul 18;10:823. doi: 10.3389/fphys.2019.00823. eCollection 2019.

2.

Integrative Approaches to Cancer Immunotherapy.

Szeto GL, Finley SD.

Trends Cancer. 2019 Jul;5(7):400-410. doi: 10.1016/j.trecan.2019.05.010. Review.

PMID:
31311655
3.

Metabolic reprogramming dynamics in tumor spheroids: Insights from a multicellular, multiscale model.

Roy M, Finley SD.

PLoS Comput Biol. 2019 Jun 11;15(6):e1007053. doi: 10.1371/journal.pcbi.1007053. eCollection 2019 Jun.

4.

The 2019 mathematical oncology roadmap.

Rockne RC, Hawkins-Daarud A, Swanson KR, Sluka JP, Glazier JA, Macklin P, Hormuth DA, Jarrett AM, Lima EABF, Tinsley Oden J, Biros G, Yankeelov TE, Curtius K, Al Bakir I, Wodarz D, Komarova N, Aparicio L, Bordyuh M, Rabadan R, Finley SD, Enderling H, Caudell J, Moros EG, Anderson ARA, Gatenby RA, Kaznatcheev A, Jeavons P, Krishnan N, Pelesko J, Wadhwa RR, Yoon N, Nichol D, Marusyk A, Hinczewski M, Scott JG.

Phys Biol. 2019 Jun 19;16(4):041005. doi: 10.1088/1478-3975/ab1a09.

5.

Understanding the Dynamics of T-Cell Activation in Health and Disease Through the Lens of Computational Modeling.

Rohrs JA, Wang P, Finley SD.

JCO Clin Cancer Inform. 2019 Jan;3:1-8. doi: 10.1200/CCI.18.00057.

6.

Mechanistic insight into activation of MAPK signaling by pro-angiogenic factors.

Song M, Finley SD.

BMC Syst Biol. 2018 Dec 27;12(1):145. doi: 10.1186/s12918-018-0668-5.

7.

Computational Model of Chimeric Antigen Receptors Explains Site-Specific Phosphorylation Kinetics.

Rohrs JA, Zheng D, Graham NA, Wang P, Finley SD.

Biophys J. 2018 Sep 18;115(6):1116-1129. doi: 10.1016/j.bpj.2018.08.018. Epub 2018 Aug 22.

8.

In silico mouse study identifies tumour growth kinetics as biomarkers for the outcome of anti-angiogenic treatment.

Wu Q, Arnheim AD, Finley SD.

J R Soc Interface. 2018 Aug;15(145). pii: 20180243. doi: 10.1098/rsif.2018.0243.

9.

The impact of tumor receptor heterogeneity on the response to anti-angiogenic cancer treatment.

Li D, Finley SD.

Integr Biol (Camb). 2018 Apr 23;10(4):253-269. doi: 10.1039/c8ib00019k.

PMID:
29623971
10.

Mechanistic modeling quantifies the influence of tumor growth kinetics on the response to anti-angiogenic treatment.

Gaddy TD, Wu Q, Arnheim AD, Finley SD.

PLoS Comput Biol. 2017 Dec 21;13(12):e1005874. doi: 10.1371/journal.pcbi.1005874. eCollection 2017 Dec.

11.

Predictive model identifies strategies to enhance TSP1-mediated apoptosis signaling.

Wu Q, Finley SD.

Cell Commun Signal. 2017 Dec 19;15(1):53. doi: 10.1186/s12964-017-0207-9.

12.

Computational Model Predicts the Effects of Targeting Cellular Metabolism in Pancreatic Cancer.

Roy M, Finley SD.

Front Physiol. 2017 Apr 12;8:217. doi: 10.3389/fphys.2017.00217. eCollection 2017.

13.

Monitoring Severity of Multiple Organ Dysfunction Syndrome: New Technologies.

Typpo KV, Wong HR, Finley SD, Daniels RC, Seely AJ, Lacroix J.

Pediatr Crit Care Med. 2017 Mar;18(3_suppl Suppl 1):S24-S31. doi: 10.1097/PCC.0000000000001050. Review.

14.

A multiscale computational model predicts distribution of anti-angiogenic isoform VEGF165b in peripheral arterial disease in human and mouse.

Chu LH, Ganta VC, Choi MH, Chen G, Finley SD, Annex BH, Popel AS.

Sci Rep. 2016 Nov 17;6:37030. doi: 10.1038/srep37030.

15.

Predictive Model of Lymphocyte-Specific Protein Tyrosine Kinase (LCK) Autoregulation.

Rohrs JA, Wang P, Finley SD.

Cell Mol Bioeng. 2016;9:351-367. Epub 2016 Apr 26.

16.

A cancer treatment based on synergy between anti-angiogenic and immune cell therapies.

Soto-Ortiz L, Finley SD.

J Theor Biol. 2016 Apr 7;394:197-211. doi: 10.1016/j.jtbi.2016.01.026. Epub 2016 Jan 27.

PMID:
26826488
17.

Pharmacokinetics of Anti-VEGF Agent Aflibercept in Cancer Predicted by Data-Driven, Molecular-Detailed Model.

Finley SD, Angelikopoulos P, Koumoutsakos P, Popel AS.

CPT Pharmacometrics Syst Pharmacol. 2015 Nov;4(11):641-9. doi: 10.1002/psp4.12040. Epub 2015 Oct 9.

18.

Predictive model of thrombospondin-1 and vascular endothelial growth factor in breast tumor tissue.

Rohrs JA, Sulistio CD, Finley SD.

NPJ Syst Biol Appl. 2016;2. pii: 16030. doi: 10.1038/npjsba.2016.30. Epub 2016 Oct 20.

19.

Computational systems biology approaches to anti-angiogenic cancer therapeutics.

Finley SD, Chu LH, Popel AS.

Drug Discov Today. 2015 Feb;20(2):187-97. doi: 10.1016/j.drudis.2014.09.026. Epub 2014 Oct 5. Review.

20.

A systems biology view of blood vessel growth and remodelling.

Logsdon EA, Finley SD, Popel AS, Mac Gabhann F.

J Cell Mol Med. 2014 Aug;18(8):1491-508. doi: 10.1111/jcmm.12164. Epub 2013 Nov 17. Review.

21.

Compartment model predicts VEGF secretion and investigates the effects of VEGF trap in tumor-bearing mice.

Finley SD, Dhar M, Popel AS.

Front Oncol. 2013 Jul 30;3:196. doi: 10.3389/fonc.2013.00196. eCollection 2013.

22.

Effect of tumor microenvironment on tumor VEGF during anti-VEGF treatment: systems biology predictions.

Finley SD, Popel AS.

J Natl Cancer Inst. 2013 Jun 5;105(11):802-11. doi: 10.1093/jnci/djt093. Epub 2013 May 13.

23.

Predicting the effects of anti-angiogenic agents targeting specific VEGF isoforms.

Finley SD, Popel AS.

AAPS J. 2012 Sep;14(3):500-9. doi: 10.1208/s12248-012-9363-4. Epub 2012 May 1.

24.

Pharmacokinetics and pharmacodynamics of VEGF-neutralizing antibodies.

Finley SD, Engel-Stefanini MO, Imoukhuede PI, Popel AS.

BMC Syst Biol. 2011 Nov 21;5:193. doi: 10.1186/1752-0509-5-193.

25.

A two-compartment model of VEGF distribution in the mouse.

Yen P, Finley SD, Engel-Stefanini MO, Popel AS.

PLoS One. 2011;6(11):e27514. doi: 10.1371/journal.pone.0027514. Epub 2011 Nov 8.

26.

Timescale analysis of rule-based biochemical reaction networks.

Klinke DJ 2nd, Finley SD.

Biotechnol Prog. 2012 Jan-Feb;28(1):33-44. doi: 10.1002/btpr.704. Epub 2011 Sep 26.

27.

Inferring relevant control mechanisms for interleukin-12 signaling in naïve CD4+ T cells.

Finley SD, Gupta D, Cheng N, Klinke DJ 2nd.

Immunol Cell Biol. 2011 Jan;89(1):100-10. doi: 10.1038/icb.2010.69. Epub 2010 May 18.

28.

In silico feasibility of novel biodegradation pathways for 1,2,4-trichlorobenzene.

Finley SD, Broadbelt LJ, Hatzimanikatis V.

BMC Syst Biol. 2010 Feb 2;4:7. doi: 10.1186/1752-0509-4-7.

29.

Computational framework for predictive biodegradation.

Finley SD, Broadbelt LJ, Hatzimanikatis V.

Biotechnol Bioeng. 2009 Dec 15;104(6):1086-97. doi: 10.1002/bit.22489.

30.

Thermodynamic analysis of biodegradation pathways.

Finley SD, Broadbelt LJ, Hatzimanikatis V.

Biotechnol Bioeng. 2009 Jun 15;103(3):532-41. doi: 10.1002/bit.22285.

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