Modeling actin dynamics.
In Encyclopedia of cell biology. Vol. R.A. Bradshaw and P.D. Stahl, editors. Academic Press, Waltham, MA. . 10-23.2016.
Borinskaya, S., O. Marchenko, and L.M. Loew.

Integration of linear and dendritic actin nucleation in nck-induced actin comets.
Mol Biol Cell. 27:247-259. 2016. PMID 26609071.
Borinskaya, S., K.B. Velle, K.G. Campellone, A. Talman, D. Alvarez, H. Agaisse, Y.I. Wu, L.M. Loew, and B.J. Mayer.

Springsalad: A spatial, particle-based biochemical simulation platform with excluded volume.
Biophys J. 110:523-529. 2016. PMID 26840718.
Michalski, P.J., and L.M. Loew.

Computational neurobiology is a useful tool in translational neurology: The example of ataxia.
Frontiers in neuroscience. 9:1. 2015. PMID 25653585.
Brown, S.A., L.D. McCullough, and L.M. Loew.

Systems biology markup language (sbml) level 2 version 5: Structures and facilities for model definitions.
J Integr Bioinform. 12:271. 2015. PMID26528569.
Hucka, M., F.T. Bergmann, A. Drager, S. Hoops, S.M. Keating, N. Le Novere, C.J. Myers, B.G. Olivier, S. Sahle, J.C. Schaff, L.P. Smith, D. Waltemath, and D.J. Wilkinson.

The systems biology markup language (sbml): Language specification for level 3 version 1 core.
J Integr Bioinform. 12:266. 2015. PMID 26528564.
Hucka, M., F.T. Bergmann, S. Hoops, S.M. Keating, S. Sahle, J.C. Schaff, L.P. Smith, and D.J. Wilkinson.

Phosphorylation state-dependent interaction between akap7delta/gamma and phospholamban increases phospholamban phosphorylation.
Cell Signal. 27:1807-1815. 2015. PMID 26027516.
Rigatti, M., A.V. Le, C. Gerber, Moraru, II, and K.L. Dodge-Kafka.

Wormguides: An interactive single cell developmental atlas and tool for collaborative multidimensional data exploration.
BMC Bioinformatics. 16:189. 2015. PMID 26051157.
Santella, A., R. Catena, I. Kovacevic, P. Shah, Z. Yu, J. Marquina-Solis, A. Kumar, Y. Wu, J. Schaff, D. Colon-Ramos, H. Shroff, W.A. Mohler, and Z. Bao.

Analysis of akap7gamma dimerization.
J Signal Transduct. 2015:371626. 2015. PMID 26417456.
Singh, A., M. Rigatti, A.V. Le, C.R. Carlson, Moraru, II, and K.L. Dodge-Kafka.

Sbml level 3 package: Hierarchical model composition, version 1 release 3.
J Integr Bioinform. 12:268. 2015. PMID 26528566.
Smith, L.P., M. Hucka, S. Hoops, A. Finney, M. Ginkel, C.J. Myers, I. Moraru, and W. Liebermeister.

Pathway commons at virtual cell: Use of pathway data for mathematical modeling.
Bioinformatics. 30:292-294. 2014. PMID 24273241.
Blinov, M.L., J.C. Schaff, O. Ruebenacker, X. Wei, D. Vasilescu, F. Gao, F. Morgan, L. Ye, A. Lakshminarayana, Moraru, II, and L.M. Loew.

Integration of modeling with experimental and clinical findings synthesizes and refines the central role of inositol 1,4,5-trisphosphate receptor 1 in spinocerebellar ataxia.
Frontiers in neuroscience. 8:453. 2014. PMID 25653583.
Brown, S.A., and L.M. Loew.

A conservative algorithm for parabolic problems in domains with moving boundaries.
J Comput Phys. 270:203-213. 2014. PMID 25067852.
Novak, I.L., and B.M. Slepchenko.

Regulation of microtubule-based transport by map4.
Mol Biol Cell. 25:3119-3132. 2014. PMID 25143402.
Semenova, I., K. Ikeda, K. Resaul, P. Kraikivski, M. Aguiar, S. Gygi, I. Zaliapin, A. Cowan, and V. Rodionov.

An optimized optogenetic clustering tool for probing protein interaction and function.
Nat Commun. 5:4925. 2014. PMID 25233328.
Taslimi, A., J.D. Vrana, D. Chen, S. Borinskaya, B.J. Mayer, M.J. Kennedy, and C.L. Tucker.

Characterization of voltage-sensitive dyes in living cells using two-photon excitation.
In Chemical neurobiology. Vol. 995. 2013. M.R. Banghart, editor. Humana Press. 147-160.
Acker, C., and L. Loew.

Modeling and simulation of intracellular drug transport and disposition pathways with virtual cell.
Journal of pharmaceutics & pharmacology.1.2013. 1PMID 24364041.
Baik, J., and G.R. Rosania.

Conditional knockout of tumor overexpressed gene in mouse neurons affects rna granule assembly, granule translation, ltp and short term habituation.
PLoS One. 8:e69989. 2013. PMID 24098765.
Barbarese, E., M.F. Ifrim, L. Hsieh, C. Guo, V. Tatavarty, M.J. Maggipinto, G. Korza, J.W. Tutolo, A. Giampetruzzi, H. Le, X.M. Ma, E. Levine, B. Bishop, D.O. Kim, S. Kuwada, and J.H. Carson.

Recycling of kinesin-1 motors by diffusion after transport.
PLoS One. 8:e76081. 2013. PMID 24098765.
Blasius, T.L., N. Reed, B.M. Slepchenko, and K.J. Verhey.

There is more than one way to model an elephant. Experiment-driven modeling of the actin cytoskeleton.
Biophys J.104:520-532. 2013. PMID 23442903.
Ditlev, J.A., B.J. Mayer, and L.M. Loew

Pleomorphic ensembles: Formation of large clusters composed of weakly interacting multivalent molecules.
Biophys J. 105:2451-2460. 2013 PMID 24314076.
Falkenberg, C.V., M.L. Blinov, and L.M. Loew.

Computational analysis of rho gtpase cycling.
PLoS Comput Biol. 9:e1002831. 2013. PMID 23326220.
Falkenberg, C.V., and L.M. Loew.

Fmrp and myelin protein expression in oligodendrocytes.
Molecular and cellular neurosciences. 56:333-341. 2013. PMID 23891804.
Giampetruzzi, A., J.H. Carson, and E. Barbarese.

A predictive mathematical model of the DNA damage g2 checkpoint.
J Theor Biol. 320:159-169. 2013. PMID 23266715.
Kesseler, K.J., M.L. Blinov, T.C. Elston, W.K. Kaufmann, and D.A. Simpson.

Superresolving dendritic spines.
Biophys J. 104:741-743. 2013. PMID 23442950.
Loew, L.M., and S.W. Hell.

The delicate bistability of camkii.
Biophys J. 105:794-806. 2013. PMID 23931327.
Michalski, P.J.

Logic modeling and the ridiculome under the rug.
BMC Biol. 10:92.  2012. PMID 23171629.
Blinov, M.L., and Moraru, II

Leveraging modeling approaches: Reaction networks and rules.
Adv Exp Med Biol. 736:517-530.  2012. PMID 22161349.
Blinov, M.L., and Moraru, II

Spatial organization and diffusion in neuronal signalling.
In Computational systems neurobiology. N. Le Novere, editor. Springer, New York. 133-161. 2012.
Brown, S.A., R.M. Holmes, and L.M. Loew.

Computational analysis of calcium signaling and membrane electrophysiology in cerebellar Purkinje neurons associated with ataxia.
BMC Syst Biol. 6:70.  2012. PMID 22703638.
Brown, S.A., and L.M. Loew

Spatial modeling of cell signaling networks.
Methods Cell Biol. 110:195-221. 2012. PMID 22482950.
Cowan, A.E., Moraru, II, J.C. Schaff, B.M. Slepchenko, and L.M. Loew.

Stoichiometry of nck-dependent actin polymerization in living cells.
J Cell Biol. 197:643-658. 2012. PMID 22613834.
Ditlev, J.A., P.J. Michalski, G. Huber, G.M. Rivera, W.A. Mohler, L.M. Loew, and B.J. Mayer.

Camkii activation and dynamics are independent of the holoenzyme structure: An infinite subunit holoenzyme approximation.
Phys Biol. 9:036010. 2012. PMID 22683827.
Michalski, P.J., and L.M. Loew.

Virtual Cell: Computational tools for modeling in cell biology.
Wiley Interdiscip Rev Syst Biol Med. 4:129-140. 2012. PMID 22139996.
Resasco, D.C., F. Gao, F. Morgan, I.L. Novak, J.C. Schaff, and B.M. Slepchenko.

Computational analysis of calcium signaling and membrane electrophysiology in cerebellar Purkinje neurons associated with ataxia.
BMC Syst Biol. 2012 Jun 15;6:70. doi: 10.1186/1752-0509-6-70.
Brown SA, Loew LM.

CaMKII activation and dynamics are independent of the holoenzyme structure: an infinite subunit holoenzyme approximation.
Phys Biol. 2012 Jun 8;9(3):036010. [Epub ahead of print]
Michalski PJ, Loew LM.

Stoichiometry of Nck-dependent actin polymerization in living cells
J Cell Biol 197 (5): 643-658, May 21, 2012
Ditlev, J.A., Michalski, P.J., Huber, G., Rivera, G.M., Mohler, W.A., Loew, L.M., Mayer, B.J.

Spatial modeling of cell signaling networks
Methods Cell Biol. 2012;110:195-221
Cowan AE, Moraru II, Schaff JC, Slepchenko BM, Loew LM.

Virtual NEURON: a strategy for merged biochemical and electrophysiological modeling.
J Comput Neurosci. 2011 Feb 22. [Epub ahead of print]
Brown SA, Moraru II, Schaff JC, Loew LM.

Effects of excluded volume due to internal membranes and cytoskeletal structures.
Biophysical Journal (2009) 97(3): 758-767.
Novak, I.L., Kraikivski, P., Slepchenko, B.M.

An open model of actin dendritic nucleation.
Biophys J.2009,96:3529-3542.
Ditlev, J.A., N.M. Vacanti, I.L. Novak, and L.M. Loew.

Complexity and modularity of intracellular networks: a systematic approach for modelling and simulation.
IET Syst Biol. 2008 Sep;2(5):363-8.
Blinov ML,Ruebenacker O,Moraru II.

Quantitative analysis of G-actin transport in motile cells.
Biophysical Journal, 2008, 95(4):1627-38,
I.L. Novak, B.M. Slepchenko, A. Mogilner

Analysis of phosphatidylinositol-4,5-bisphosphate signaling in cerebellar Purkinje spines.
Biophys J. (2008.) 95:1795-1812.
Brown, S., F. Morgan, J. Watras, and L.M. Loew.

Cell shape and negative links in regulatory motifs together control spatial information flow in signaling networks.
Cell, May 2008 16;133(4):666-80.
Neves SR, Tsokas P, Sarkar A, Grace EA, Rangamani P, Taubenfeld SM, Alberini CM, Schaff JC, Blitzer RD, Moraru II, Iyengar R.

Diffusion on a Curved Surface Coupled to diffusion in the Volume: Application to Cell Biology.
J. Comput. Phys.,2007, 226: 1271-1290.
Novak, I. L., Gao, F., Choi, Y.-S., Resasco, D., Schaff, J. C., Slepchenko B. M.

Switching of membrane organelles between cytoskeletal transport systems is determined by the regulation of the microtubule-based transport.
J. Cell Biol.,2007, 179: 635-641.
Slepchenko B. M., Semenova, I., Zaliapin, I., Rodionov V.

In Vivo Dynamics of Rac-Membrane Interactions.
Mol. Biol. Cell:E06-01-0005 (2006).
Moissoglu, K., B. M. Slepchenko, N. Meller, A. F. Horwitz, and M. A. Schwartz.

Think simulation-think experiment: the Virtual Cell paradigm. Proceedings of the 2006 Winter Simulation Conference. L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. IEEE Proceedings, in press.
Moraru, I. I., J. C. Schaff and L. M. Loew.

In vivo dynamics of Rac-membrane interactions. Mol. Biol. Cell., 2006, 17: 2770-2779.
Moissoglu, K., Slepchenko, B. M., Meller, N., Horwitz, A. F., Schwartz M. A.

Intracellular signaling: spatial and temporal control.
Physiology. 2005, 20:169-179.
Moraru, I.I., and L.M. Loew.

Modeling and Analysis of Calcium Signaling Events Leading to Long-Term Depression in Cerebellar Purkinje Cells.
Biophys. J. 2005, 89:3790-3806.
Hernjak, N., B. M. Slepchenko, K. Fernald, C. C. Fink, D. Fortin, I. I. Moraru, J. Watras, and L. M. Loew.

Systems analysis of RNA trafficking in neural cells.
Biol Cell (2005) 97(1):51-62.
Carson JH, Barbarese E.

STAT module can function as a biphasic amplitude filter.
IEE Prodeedings Sytems Biology. Volume 2, Issue 1, p43-52, March 2005
Mayya V., and Loew LM.

Cooperativity between Cell Contratility and Adhesion.
Phys Rev Lett. (2004) 93:268109-1-4.
Novak IL, Slepchencko BM, Mogilner A, and Loew LM.

Bio-switches: what makes them robust? Curr.
Opin. Genet. Dev. 14/4: 428-434, 2004.
Slepchenko, B. M. and Terasaki, M.

Cyclin aggregation and robustness of bio-switching.
Mol. Biol. Cell (2003)14: 4695 – 4706.
Slepchenko, B. M. and Terasaki, M.

Centrosome positioning in interphase cells.
J. Cell Biol. ( 2003) 162:963-969.
Burakov, A., E. Nadezhdina, B. Slepchenko, and V. Rodionov.

Kinetic analysis of receptor activated phosphoinositide turnover.
J. Cell Biol. (2003)161:779-791.
Xu, C., J. Watras, and L. M. Loew.

The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models.
Bioinformatics (2003)19(4):524-531.
Hucka M, Finney A, Sauro HM, Bolouri H, Doyle JC, Kitano H, Arkin AP, Bornstein BJ, Bray D, Cornish-Bowden A and others.

The Virtual Cell Project. Novartis Foundation Symposium 247
In silico Simulation of Biological Processes, Wiley, Chichester, UK, pp. 151-161, 2002.
Loew, LM.

Systems analysis of Ran transport.
Science (2002) 295:488-491.
Smith AE, Slepchenko BM, Schaff JC, Loew LM, Macara IG.

The virtual cell: an integrated modeling environment for experimental and computational cell biology.
Ann N Y Acad Sci 971:595-6, 2002.
Moraru, II, Schaff JC, Slepchenko BM, Loew LM.

Local Photorelease of Caged Thymosin beta4 in Locomoting Keratocytes Causes Cell Turning.
Journal of Cell Biology. (2001) 153:1035-1048.
Roy, P., Z. Rajfur, D. Jones, G. Marriott, L. Loew, and K. Jacobson.

Modeling of transcellular Ca transport in rat duodenum points to coexistence of two mechanisms of apical entry.
Am. J. Physiol., Cell Physiology 2001, v. 281, issue 1, pp. C270-C281.
Slepchenko, B. M., and Felix Bronner.

A new model for nuclear envelope breakdown.
Mol. Biol. Cell 12: 503-510, 2001.
Terasaki, M., Campagnola, P., Rolls, M.M., Stein, P., Ellenberg, J., Hinkle, B., and Slepchenko, B.

Topology of the mitochondrial inner membrane: dynamics and bioenergetic implications.
IUBMB Life 52(2,4,5), 2001.
Mannella, C. A., D. R. Pfeiffer, P. C. Bradshaw, I. I. Moraru, B.Slepchenko, L. M. Loew, C. Hsieh, K. Buttle, and M. Marko.

Computational cell biologists snowed in at Cranwell. Trends in Cell Biology (2001) 11:236-238.
Carson, J.H., A. Cowan, L. M. Loew.

LLocal Photorelease of Caged Thymosin beta4 in Locomoting Keratocytes Causes Cell Turning.
J. Cell Biol. (2001) 153:1035-1048.
Roy, P., Z. Rajfur, D. Jones, G. Marriott, L. Loew, and K. Jacobson.

Analysis of non-linear dynamics on arbitrary geometries withthe Virtual Cell.
Chaos ( 2001) 11:115-131.
Schaff, J. C., B. M. Slepchenko, Y. Choi, J. M. Wagner, D. Resasco, and L.M. Loew.

An image-based model of calcium waves in differentiated neuroblastoma cells.
Biophys. J. 2000, 79:163-183.
Fink, C. C., B. Slepchenko, I. I. Moraru, J. Watras, J. Schaff, and L. M. Loew.

Morphological control of inositol-1,4,5-trisphosphate-dependent signals.
J. Cell Biol. (1999) 147:929-935.
Fink, C. C., B. Slepchenko, I. I. Moraru, J. Schaff, J. Watras, and L. M. Loew.

Determination of time-dependent inositol-1,4,5-trisphosphate concentrations during calcium release in a smooth muscle cell.
Biophys. J. (1999) 77: 617-628.
Fink, C. C., B. Slepchenko, and L. M. Loew.

The Virtual Cell.
In Biocomputing: Proceedings of the 1999 Pacific Symposium. R. B. Altman, A. K. Dunker, L. Hunter, T. E. Klein and K. Lauderdale, editors. World Scientific, Singapore. (1999) 228-239.
Schaff, J., and L. M. Loew.

Virtual Cell: a general framework for simulating and visualizing cellular physiology.
In Proc. of 4th IFIP 2.6 Working Conference on Visual Database Systems,. L’Aquila, Italy, 1998.
Shin, D.-G., L. Liu, L. M. Loew, and J. Schaff.

A general computational framework for modeling cellular structure and function.
Biophys. J. (1997) 73:1135-1146.
Schaff, J., C. C. Fink, B. Slepchenko, J. H. Carson, and L. M. Loew.

Modeling actin dynamics.
In Encyclopedia of cell biology. 2016. Vol. R.A. Bradshaw and P.D. Stahl, editors. Academic Press, Waltham, MA. . 10-23.
Borinskaya, S., O. Marchenko, and L.M. Loew.

Springsalad: A spatial, particle-based biochemical simulation platform with excluded volume.
Biophys J 2016. 110:523-529. PMID.
Michalski, P.J., and L.M. Loew.

Computational neurobiology is a useful tool in translational neurology: The example of ataxia.
Frontiers in neuroscience 2015. 9:1. PMID.
Brown, S.A., L.D. McCullough, and L.M. Loew.

Pathway commons at virtual cell: Use of pathway data for mathematical modeling.
Bioinformatics 2014. 30:292-294. PMID.
Blinov, M.L., J.C. Schaff, O. Ruebenacker, X. Wei, D. Vasilescu, F. Gao, F. Morgan, L. Ye, A. Lakshminarayana, Moraru, II, and L.M. Loew.

There is more than one way to model an elephant. Experiment-driven modeling of the actin cytoskeleton.
Biophys J 2013. 104:520-532. PMID.
Ditlev, J.A., B.J. Mayer, and L.M. Loew.

Virtual cell: Computational tools for modeling in cell biology.
Wiley Interdiscip Rev Syst Biol Med 2012. 4:129-140. PMID.
Resasco, D.C., F. Gao, F. Morgan, I.L. Novak, J.C. Schaff, and B.M. Slepchenko.

Spatial modeling of cell signaling networks
Methods Cell Biol. 2012;110:195-221
Cowan AE, Moraru II, Schaff JC, Slepchenko BM, Loew LM.

Use of Virtual Cell in Studies of Cellular Dynamics.
In Kwang W. Jeon, editor: International Review of Cell and Molecular Biology, Vol. 283, Burlington: Academic Press, 2010, pp. 1-56. ISBN: 978-0-12-381254-4 © Copyright 2010 Elsevier Inc. Academic Press.
Boris M. Slepchenko and Leslie M. Loew

Using the Virtual Cell Simulation Environment for Extracting Quantitative Parameters from Live Cell Fluorescence Imaging Data.
Microscopy Today. 17:36-39
Cowan, A.E., Y. li, F.R. Morgan, D.E. Koppel, B.M. Slepchenko, L.M. Loew, and J. Schaff. 2009.

Virtual Cell modelling and simulation software environment.
IET Syst Biol. 2008 Sep;2(5):352-62.
Moraru II, Schaff JC, Slepchenko BM, Blinov ML, Morgan F, Lakshminarayana A, Gao F, Li Y, Loew LM.

Think simulation – think experiment: the Virtual Cell paradigm.
In Proceedings of the 2006 Winter Simulation Conference. Vol. 38. L.F. Perrone, F. Wieland, J. Liu, B. Lawson, D. Nicol, and R. Fujimoto, editors. IEEE Proceedings, Monterey, CA. 1713-1719.
Moraru, I., J.C. Schaff, and L.M. Loew. 2006.

Quantitative Cell Biology with the Virtual Cell.
Trends in Cell Biology (2003) 13:pp. 570 – 576.
Slepchenko BM, Schaff J, Macara IG, Loew LM.

Computational cell biology: spatiotemporal simulation of cellular events.
Annual Review of Biophysics & Biomolecular Structure (2002) 31:423-441.
Slepchenko B, Schaff JC, Carson JH, Loew LM.

The Virtual Cell project.
Novartis Found Symp. 247:151-60; discussion 160-1, 198-206, 244-52. PMID 12539954
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Moraru, II, J.C. Schaff, B.M. Slepchenko, and L.M. Loew. 2002.
The virtual cell: an integrated modeling environment for experimental and computational cell biology.
Ann N Y Acad Sci. 971:595-6. PMID 12438191

The Virtual Cell: A software environment for computational cell biology.
Trends in Biotechnology (2001) 19:401-406. Loew, L. M., and J. C. Schaff.

Physiological modeling with the Virtual Cell framework.
In Methods in Enzymology. 2000, Vol. 321, M. Johnson and L. Brand, eds. Academic Press, San Diego. 1-26.
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Bhattacharya S, Iglesias PA.
Modeling Excitable Dynamics of Chemotactic Networks.
Methods Mol Biol. 2016;1407:397-415. doi: 10.1007/978-1-4939-3480-5_27.

Masuzzo, P., M. Van Troys, C. Ampe, and L. Martens. 2016.
Taking aim at moving targets in computational cell migration.
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Hake, J., P.M. Kekenes-Huskey, and A.D. McCulloch. 2014.
Computational modeling of subcellular transport and signaling.
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Roberts, E. 2014.
Cellular and molecular structure as a unifying framework for whole-cell modeling.
Current Opinion in Structural Biology 25:86-91. PMID BCI:BCI201400537408.

Zandstra, P.W., and G. Clarke. 2014.
Computational modeling and stem cell engineering.
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Blackwell, K.T. 2013.
Approaches and tools for modeling signaling pathways and calcium dynamics in neurons.
Journal of Neuroscience Methods 220:131-140. PMID WOS:000327921800004.

Danuser, G., J. Allard, and A. Mogilner. 2013.
Mathematical modeling of eukaryotic cell migration: Insights beyond experiments.
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Kariya, Y., M. Honma, and H. Suzuki. 2013.
Systems-based understanding of pharmacological responses with combinations of multidisciplinary methodologies.
Biopharmaceutics & Drug Disposition 34:489-507. PMID BCI:BCI201400070947.

Pollard, T.D., and E.M. De La Cruz. 2013.
Take advantage of time in your experiments: A guide to simple, informative kinetics assays.
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Wenderski, W.C., and S.R. Neves. 2012.
Modeling of spatial intracellular signaling events in neurons.
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Modeling of spatially-restricted intracellular signaling.
Wiley Interdisciplinary Reviews: Systems Biology and Medicine:2011, July 15. WIREs Syst Biol Med 2011 DOI: 10.1002/wsbm.155

Brown, S.A., R.M. Holmes, and L.M. Loew. 2011.
Spatial organization and diffusion in neuronal signalling.
In Computational Systems Neurobiology. N. Le Novere, editor. Springer, New York. in press.

Cheong, R., S. Paliwal, and A. Levchenko. 2010.
Models at the single cell level.
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Radhakrishnan, K., ??. Halász, D. Vlachos, and J.S. Edwards. 2010.
Quantitative understanding of cell signaling: the importance of membrane organization.
Current Opinion in Biotechnology. 21:677-682.

Neves, S.R., and R. Iyengar. 2009.
Models of Spatially Restricted Biochemical Reaction Systems.
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Csikász-Nagy, A. 2009.
Computational systems biology of the cell cycle.
Briefings in Bioinformatics. 10:424-434

Linderman, J.J. 2009.
Modeling of G-protein-coupled Receptor Signaling Pathways.
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Gardner, M.K., D.J. Odde, and K. Bloom. 2007.
Hypothesis testing via integrated computer modeling and digital fluorescence microscopy.
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Wierling, C., R. Herwig, and H. Lehrach. 2007.
Resources, standards and tools for systems biology.
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Alves, R., F. Antunes, and A. Salvador. 2006.
Tools for kinetic modeling of biochemical networks.
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Gilbert, D., H. Fuß, X. Gu, R. Orton, S. Robinson, V. Vyshemirsky, M.J. Kurth, C.S. Downes, and W. Dubitzky. 2006.
Computational methodologies for modelling, analysis and simulation of signalling networks.
Briefings in Bioinformatics. 7:339-353

Ridgway, D., G. Broderick, and M.J. Ellison. 2006.
Accommodating space, time and randomness in network simulation.
Current Opinion in Biotechnology. 17:493-498

Strömbäck, L., V. Jakoniene, H. Tan, and P. Lambrix. 2006.
Representing, storing and accessing molecular interaction data: a review of models and tools.
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Ma’ayan, A., R.D. Blitzer, and R. Iyengar. 2005.
TOWARD PREDICTIVE MODELS OF MAMMALIAN CELLS.
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Orton, R.J., O.E. Sturm, V. Vyshemirsky, M. Calder, D.R. Gilbert, and W. Kolch. 2005.
Computational modelling of the receptor-tyrosine-kinase-activated MAPK pathway.
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Semple, J.L., N. Woolridge, and C.J. Lumsden. 2005.
Review: In Vitro, in Vivo, in Silico: Computational Systems in Tissue Engineering and Regenerative Medicine.
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