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Compartment model predicts VEGF secretion and investigates the effects of VEGFTrap in tumor-bearing mice.
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- Frontiers in Oncology, 2013, v. 3, p. 1, doi. 10.3389/fonc.2013.00196
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- Article
In silico feasibility of novel biodegradation pathways for 1,2,4-trichlorobenzene.
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- BMC Systems Biology, 2010, v. 4, p. 1
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- Article
Timescale analysis of rule-based biochemical reaction networks.
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- Biotechnology Progress, 2012, v. 28, n. 1, p. 33, doi. 10.1002/btpr.704
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Mathematical Model Predicts Effective Strategies to Inhibit VEGF-eNOS Signaling.
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- Journal of Clinical Medicine, 2020, v. 9, n. 5, p. 1255, doi. 10.3390/jcm9051255
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- Article
Dynamic Regulation of JAK-STAT Signaling Through the Prolactin Receptor Predicted by Computational Modeling.
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- Cellular & Molecular Bioengineering, 2021, v. 14, n. 1, p. 15, doi. 10.1007/s12195-020-00647-8
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A multiscale computational model predicts distribution of anti-angiogenic isoform VEGF<sub>165b</sub> in peripheral arterial disease in human and mouse.
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- Scientific Reports, 2016, p. 37030, doi. 10.1038/srep37030
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A Two-Compartment Model of VEGF Distribution in the Mouse.
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- PLoS ONE, 2011, v. 6, n. 11, p. 1, doi. 10.1371/journal.pone.0027514
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Computational analysis of 4-1BB-induced NFκB signaling suggests improvements to CAR cell design.
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- Cell Communication & Signaling, 2022, v. 20, n. 1, p. 1, doi. 10.1186/s12964-022-00937-w
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- Article
Flux sampling in genome-scale metabolic modeling of microbial communities.
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- BMC Bioinformatics, 2024, v. 25, n. 1, p. 1, doi. 10.1186/s12859-024-05655-3
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Computational framework for predictive biodegradation.
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- Biotechnology & Bioengineering, 2009, v. 104, n. 6, p. 1086, doi. 10.1002/bit.22489
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Thermodynamic analysis of biodegradation pathways.
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- Biotechnology & Bioengineering, 2009, v. 103, n. 3, p. 532, doi. 10.1002/bit.22285
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Exogenous Lactogenic Signaling Stimulates Beta Cell Replication In Vivo and In Vitro.
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- Biomolecules (2218-273X), 2022, v. 12, n. 2, p. 215, doi. 10.3390/biom12020215
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- Article
Phosphatases are predicted to govern prolactin-mediated JAK–STAT signaling in pancreatic beta cells.
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- Integrative Biology, 2022, v. 14, n. 2, p. 37, doi. 10.1093/intbio/zyac004
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- Article
Enhancing network activation in natural killer cells: predictions from in silico modeling.
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- Integrative Biology, 2020, v. 12, n. 5, p. 109, doi. 10.1093/intbio/zyaa008
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Mechanistic insight into activation of MAPK signaling by pro-angiogenic factors.
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- BMC Systems Biology, 2018, v. 12, n. 1, p. N.PAG, doi. 10.1186/s12918-018-0668-5
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Kinetic and data-driven modeling of pancreatic β-cell central carbon metabolism and insulin secretion.
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- PLoS Computational Biology, 2022, v. 18, n. 10, p. 1, doi. 10.1371/journal.pcbi.1010555
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Computational Model Predicts the Effects of Targeting Cellular Metabolism in Pancreatic Cancer.
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- Frontiers in Physiology, 2017, p. 1, doi. 10.3389/fphys.2017.00217
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A systems biology view of blood vessel growth and remodelling.
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- Journal of Cellular & Molecular Medicine, 2014, v. 18, n. 8, p. 1491, doi. 10.1111/jcmm.12164
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Multi-scale modeling of macrophage—T cell interactions within the tumor microenvironment.
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- PLoS Computational Biology, 2020, v. 16, n. 12, p. 1, doi. 10.1371/journal.pcbi.1008519
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Proof‐of‐concept for incorporating mechanistic insights from multi‐omics analyses of polymyxin B in combination with chloramphenicol against Klebsiella pneumoniae.
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- CPT: Pharmacometrics & Systems Pharmacology, 2023, v. 12, n. 3, p. 387, doi. 10.1002/psp4.12923
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Calibrating agent-based models to tumor images using representation learning.
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- PLoS Computational Biology, 2023, v. 19, n. 4, p. 1, doi. 10.1371/journal.pcbi.1011070
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The impact of tumor receptor heterogeneity on the response to anti-angiogenic cancer treatment.
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- Integrative Biology, 2018, v. 10, n. 4, p. 253, doi. 10.1039/c8ib00019k
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Inferring relevant control mechanisms for interleukin-12 signaling in naïve CD4<sup>+</sup> T cells.
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- Immunology & Cell Biology, 2011, v. 89, n. 1, p. 100, doi. 10.1038/icb.2010.69
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- Article
Mechanistic characterization of endothelial sprouting mediated by pro‐angiogenic signaling.
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- Microcirculation, 2022, v. 29, n. 2, p. 1, doi. 10.1111/micc.12744
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Predictive model identifies strategies to enhance TSP1-mediated apoptosis signaling.
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- Cell Communication & Signaling, 2017, v. 11, p. 1, doi. 10.1186/s12964-017-0207-9
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Metabolic reprogramming dynamics in tumor spheroids: Insights from a multicellular, multiscale model.
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- PLoS Computational Biology, 2019, v. 15, n. 6, p. 1, doi. 10.1371/journal.pcbi.1007053
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A data-driven Boolean model explains memory subsets and evolution in CD8+ T cell exhaustion.
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- NPJ Systems Biology & Applications, 2023, v. 9, n. 1, p. 1, doi. 10.1038/s41540-023-00297-2
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Effect of Tumor Microenvironment on Tumor VEGF During Anti-VEGF Treatment: Systems Biology Predictions.
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- JNCI: Journal of the National Cancer Institute, 2013, v. 105, n. 11, p. 802, doi. 10.1093/jnci/djt093
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ERK and Akt exhibit distinct signaling responses following stimulation by pro-angiogenic factors.
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- Cell Communication & Signaling, 2020, v. 18, n. 1, p. 1, doi. 10.1186/s12964-020-00595-w
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Mechanistic modeling quantifies the influence of tumor growth kinetics on the response to anti-angiogenic treatment.
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- PLoS Computational Biology, 2017, v. 13, n. 12, p. 1, doi. 10.1371/journal.pcbi.1005874
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- Article