Select Publications
Following is a listing of some publications, categorized as books, reviews, applications, modeling theory, optimization, parameter estimation, recasting, and statistics. Of course there is overlap among these areas, so that many of the publications listed could fall into more than one category.
Click here for full bibliography.
Voit, E.O. (ed): Canonical Nonlinear Modeling. S-System Approach to Understanding Complexity, xi+365 pp., Van Nostrand Reinhold, NY, 1991.
Voit, E.O.: Computational Analysis of Biochemical Systems. A Practical Guide for Biochemists and Molecular Biologists, xii + 530 pp., Cambridge University Press, Cambridge, U.K., 2000. (Available in Chinese)
Torres, N.V., and E.O. Voit: Pathway Analysis and Optimization in Metabolic Engineering. Cambridge University Press, Cambridge, U.K., 2002. (Available in Chinese)
Voit, E.O. and J.H. Schwacke: Understanding through Modeling. In: A.K. Konopka (Ed.) Systems Biology: Principles, Methods, and Concepts. CRC Press / Taylor & Francis Books, Boca Raton, pp. 27-82, 2007.
Voit, E.O.: Design and operation: Keys to understanding biological systems. in: A. Deustch, J. Howard, M. Falcke, and W. Zimmermann (Eds.), Function and Regulation of Cellular Systems: Experiments and Models, Birkhäuser-Verlag, Basel, 2004.
Voit, E.O.: The Dawn of a New Era of Metabolic Systems Analysis, Drug Discovery Today BioSilico 2(5), 182-189, 2004.
Voit, E.O.: Design principles and operating principles: The Yin and Yang of optimal functioning. Math. Biosc. 182, 81-92, 2003.
Voit, E.O.: Models-of-data and models-of processes in the post-genomic era. Special Issue in honor of John A. Jacquez (invited). Math. Biosc. 180, 263-274, 2002.
Voit, E.O.: Metabolic modeling: A tool of drug discovery in the post-genomic era. Drug Discovery Today 7(11), 621-628, 2002.
Voit, E.O.: Canonical modeling: A review of concepts with emphasis on environmental health (invited). Environmental Health Perspectives, 108, Suppl. 5: Mathematical Modeling in Environmental Health Studies, 895-909, 2000.
Voit, E.O. and N.V. Torres: Canonical modeling of complex pathways in biotechnology (Invited review). Recent Res. Devel. in Biotech. and Bioeng. 1, 321-341, 1998.
Voit, E.O.: Canonical modeling: a link between environmental models and statistics, Austrian J. Stats. 27, 109-121, 1998.
Voit, E.O.: Tutorial on the structure of S-systems. Tutorials of the Iizuka '96 4th International Conference on Soft Computing, Iizuka, Fukuoka, Japan, September 30-October 1, 1996.
Schwacke, J.H., and E.O. Voit: The potential for signal integration and processing in interacting MAP kinase cascades. J. Theor. Biol. 246(4), 604-620, 2007.
Chou, I-C., H. Martens, and E.O. Voit: Parameter Estimation of S-distributions with Alternating Regression. Stat. Operations Res. Transactions (SORT), 31(1), 55-74. 2007.
Schwacke, J.H., and E.O. Voit: Concentration-dependent effects on the rapid and efficient activation of MAPK. Proteomics 7(6), 890-899, 2007.
Voit, E.O., A.R. Neves, and H. Santos. The Intricate Side of Systems Biology. PNAS, 103(25), 9452-9457, 2006.
Voit, E.O., J.S. Almeida, S. Marino, R. Lall, G. Goel, A.R. Neves, and H. Santos. Regulation of Glycolysis in Lactococcus lactis: An Unfinished Systems Biological Case Study. IEE Proc. Systems Biol. 153, 286-298, 2006.
Alvarez-Vasquez, F., K. J. Sims, Y. Okamoto, E. O. Voit, and Y. A. Hannun. Simulation and Evaluation of de novo Sphingolipid Fluxes in S. cerevisiae. Nature Jan 27; 433(7024): 425-430, 2005.
Alvarez-Vasquez, F., K.J. Sims, Y.A. Hannun, and E.O. Voit: Integration of kinetic information on yeast sphingolipid metabolism in dynamical pathway models. J. Theor. Biol. 226, 265-291, 2004.
Ferreira, A.E.N., A. Ponces, and E.O. Voit: A quantitative model of the generation of N -(carboxymethyl)lysine in the Maillard reaction between collagen and glucose. Biochem. J. 376(1), 109-121, 2003.
Voit, E.O.: Biochemical and genomic regulation of the trehalose cycle in Saccharomyces cerevisiae. J. Theor. Biol., 223, 55-78, 2003.
Voit, E.O., and T. Radivoyevitch: Biochemical systems analysis of genome-wide expression data, Bioinformatics 16(11), 1023-1037, 2000.
Voit, E.O.: Utility of Biochemical System Theory for the analysis of metabolic effects from low-dose chemical exposure, Risk Analysis 20(3), 393-402, 2000.
Curto, R., E.O. Voit, A. Sorribas, and M. Cascante: Analysis of abnormalities in purine metabolism leading to gout and to neurological dysfunctions in man, Biochem. J. 329, 477-487, 1998.
Curto, R., E.O. Voit, A. Sorribas, and M. Cascante: Mathematical models of purine metabolism in man, Math. Biosc. 151, 1-49, 1998.
Curto, R., E.O. Voit, A. Sorribas, and M. Cascante: Validation and steady-state analysis of a power-law model of purine metabolism, Biochem. J. 324, 761-775, 1997.
Berg, P.H., E.O. Voit, and R. White: A pharmacodynamic model for the action of the antibiotic Imipenem on Pseudomonas in vitro. Bull. Math. Biol. 58 (5), 923-938, 1996.
Voit, E.O., and P.J. Sands: Modeling forest growth. II. Biomass partitioning in Scots pine. Ecol. Modeling 86, 73-89, 1996.
Voit, E.O., and P.J. Sands: Modeling forest growth. I. Canonical approach. Ecol. Modeling 86, 51-71, 1996.
Voit, E.O.: Dynamics of self-thinning plant stands. Ann. Bot. 62, 67-78, 1988.
Voit, E.O. and M.A. Savageau: Power-law approach to modeling biological systems; II. Application to ethanol production. J. Ferment. Technol. 60 (3), 229-232, 1982.
Wang, F.-S, C.-L. Ko and E. O. Voit: Kinetic Modeling Using S-systems and Lin-log Approaches. Biochem. Eng. J. 33, 238-247 2007.
Voit, E.O. Smooth bistable S-systems. IEE Proc. Systems Biol. 152, 207-213, 2005.
Mocek, W.T. and E.O. Voit: Approximation of delays in biochemical systems. Math. Biosc. 198, 190-216, 2005.
Ervadi-Radhakrishnan, A., and E.O. Voit: Controllability of nonlinear biochemical systems. Math. Biosc. 196, 99-123, 2005.
Schwacke, J.H., and E.O. Voit: Computation and analysis of time-dependent sensitivities in generalized mass action systems. J. Theor. Biol. 236(1), 21-38, 2005.
Schwacke, J.H., and E.O. Voit: Improved Methods for the Mathematically Controlled Comparison of Biochemical Systems. BMC Theoretical Biology and Medical Modelling 1:1, 2004.
Voit, E.O., F. Alvarez-Vasquez, and K.J. Sims: Analysis of dynamic labeling data. Math. Biosc. 191(1), 83-99, 2004.
Shiraishi, F. and E.O. Voit: Solution of a two-point boundary value model of immobilized enzyme reactions, using an S-system based root-finding method. Appl. Math. and Computation, 127, 289-310, 2002.
Voit, E.O., and A.E.N. Ferreira: Buffering in models of integrated biochemical systems, J. Theor. Biol., 191, 429-438, 1998.
Zhang, Z., Voit, E.O. and H. Zhang: A fast algorithm for computing Lie series solutions of autonomous differential equations. Int. J. Computer Math. 53, 237-251, 1994.
Voit, E.O.: S-system modeling of complex systems with chaotic input. Environmetrics 4(2), 153-186, 1993.
Voit, E.O.: Symmetries of S-systems. Mathem. Biosc. 109, 19-37, 1992.
Savageau, M.A., E.O. Voit, and D.H. Irvine: Biochemical systems theory and metabolic control theory. II. The role of summation and connectivity relationships. Mathem. Biosci. 86, 147-169, 1987.
Savageau, M.A., E.O. Voit, and D.H. Irvine: Biochemical systems theory and metabolic control theory. I. Fundamental similarities and differences. Mathem. Biosci. 86, 127-145, 1987.
Voit, E.O. and M.A. Savageau: Accuracy of alternative representations for integrated biochemical systems. Biochemistry 26, 6869-6880, 1987.
Voit, E.O. and M.A. Savageau: Analytical solutions to a generalized growth equation. J. Mathem. Anal. Appl. 103 (2), 380-386, 1984.
Voit, E.O. and M.A. Savageau: Power-law approach to modeling biological systems; III. Methods of analysis. J. Ferment. Technol. 60 (3), 233-241, 1982.
Chou, I-C., H. Martens, and E.O. Voit. Parameter Estimation in Biochemical Systems Models with Alternating Regression. BMC Theoretical Biology and Medical Modelling, 2006.
Marino, S. and E.O. Voit: An automated procedure for the extraction of metabolic network information from time series data. J. Bioinform. Comp. Biol. in press.
Lall, R. and E.O. Voit: Parameter Estimation in Modulated, Unbranched Reaction Chains within Biochemical Systems. J. Comput. Biol. Chem. 29, 309-318 (2005).
Voit, E.O., S. Marino, and R. Lall: Challenges for the identification of metabolic pathways from time series data. In Silico Biology 5, 83-92 (2005).
Veflingstad, S.R., J.S. Almeida, and E.O. Voit: Priming nonlinear searches for pathway identification. BMC Theoretical Biology and Medical Modelling 1:8, 2004.
Voit, E.O., and J.S. Almeida: Decoupling dynamical systems for pathway identification from metabolic profiles. Bioinformatics 20(11),1670-1681, 2004.
Sands, P.J., and E.O. Voit: Flux-based estimation of parameters in S-systems. Ecol. Modeling 93, 75-88, 1996.
Berg, P.H., E.O. Voit, and R. White: A pharmacodynamic model for the action of the antibiotic Imipenem on Pseudomonas in vitro. Bull. Math. Biol. 58 (5), 923-938, 1996.
Polisetty, P.K., E.O. Voit, and E. P. Gatzke: Identification of metabolic system parameters using global optimization methods. BMC Theoretical Biology and Medical Modelling, 3(1):4, 2006.
Polisetty, P.K., E.O. Voit, E.P. Gatzke: Yield Optimization of Saccharomyces cerevisiae using a GMA Model and a MILP-based piecewise linear relaxation method. Proceedings of: Foundations of Systems Biology in Engineering, Santa Barbara, CA, August 7-10, 2005.
Voit, E.O. and E.P. Gatzke: Modeling of metabolic systems using global optimization methods. Proceedings of Adchem: International Symposium on Advanced Control of Chemical Processes, Hong Kong, January 11-14, 2004.
Long, C.E., E.O. Voit, and E.P. Gatzke: A mixed integer horizon formulation for prioritized objective inferential control of a bioprocess system. Proceedings of the American Control Conference, June 4-6, 2003, Denver, CO.
Torres, N.V., F. Alvarez-Vasquez, and E.O. Voit: Optimization of biotechnological processes with S-system models. Methodology and applications to fungal metabolism. In: D. K. Arora (Ed.) Handbook of Fungal Biotechnology (2th edition). Marcel Dekker, Inc. New York, 2002.
Voit, E.O. and M. Del Signore: Assessment of effects of experimental imprecision on optimized biochemical systems, Biotech. Bioengin. 74(5), 443-448, 2001.
Voit, E.O. and N.V. Torres: Canonical modeling of complex pathways in biotechnology (Invited review). Recent Res. Devel. in Biotech. and Bioeng. 1, 321-341, 1998.
Torres, N.V., F. Rodríguez, C. Glez-Alcón, and E.O. Voit: A novel approach to designing an overexpression strategy for metabolic engineering. Application to the carbohydrate metabolism in the citric acid producing mould Aspergillus niger, Food Techn. and Biotechn., 36, 177-184, 1998.
Torres, N.V., E.O. Voit, C. Glez-Alcón, and F. Rodríguez: An indirect optimization method for biochemical systems. Description of method and application to ethanol, glycerol and carbohydrate production in Saccharomyces cerevisiae, Biotechn. Bioengin. 55(5), 758-772, 1997.
Torres, N. V., E.O. Voit, and C. H. Alcón: Optimization of nonlinear biotechnological processes with linear programming. Application to citric acid production in Aspergillus niger. Biotechn. Bioengin. 49, 247-258, 1996.
Torres, N.V., C. González-Alcón, and E.O. Voit: Optimization of metabolic systems with linear programming. Application to biotechnological processes. in: T. Yamakawa and G. Matsumoto, Methodologies for the Conception, Design, and Application of Intelligent Systems, World Scientific, Singapore, 1996, pp. 171-174.
Voit, E.O.: Optimization in integrated biochemical systems. Biotechn. Bioengin. 40, 572-582, 1992.
Yu, L., and E.O. Voit: Construction of bivariate S-distributions with copulas. Comp. Stat. Data Anal. in press.
Sorribas, A., J.M. Muiño, and E.O.Voit: GS-distributions: a new family of distributions for continuous unimodal variables. Comp. Stat. Data Anal. in press.
He, Q. and E.O. Voit: Estimation and completion of survival data with piecewise linear models and S-distributions. J. Stat. Comp. Simul. 75(4), 287-305 (2005).
Voit, E.O.: A maximum likelihood estimator for the shape parameters of S-distributions, Biometr. J., 42 (4), 471-479, 2000.
Voit, E.O., and L.H. Schwacke: Random number generation from right-skewed, symmetric, and left-skewed distribution, Risk Analysis 20(1): 59-71, 2000.
Sorribas, A., J. March, and E.O. Voit: Estimating age-related trends in cross-sectional studies using S-distributions, Stats. in Med. 10(5): 697-713, 2000.
Thompson, R.E., E.O. Voit, and G.I. Scott: Statistical modeling of sediment and oyster PAH contamination data collected at a South Carolina estuary (complete and left-censored samples), Environmetrics 11: 99-115, 2000.
Voit, E.O., and A. Sorribas: Computer modeling of dynamically changing distributions of random variables, Mathem. and Computer Modelling 31, 217-225, 2000.
Voit, E.O.: Canonical modeling: a link between environmental models and statistics, Austrian J. Stats. 27, 109-121, 1998.
Voit, E.O., and L.H. Schwacke: Scalability properties of the S-distribution, Biometrical J., 40, 665-684, 1998.
Voit, E.O., and R.G. Knapp: Derivation of the linear-logistic model and Cox's proportional hazard model from a canonical system description. Stats. in Med. 16, 1705-1729, 1997.
Voit, E.O.: Dynamic trends in distributions. Biometrical J. 38 (5), 587-603, 1996.
Balthis, W.L., and E.O. Voit, and G.M. Meaburn: Setting prediction limits for mercury concentrations in fish having high bioaccumulation potential, Environmetrics 7, 429-439, 1996.
Voit, E.O., W. L. Balthis, and R. A. Holser: Hierarchical Monte Carlo Modeling with S-distributions: Concepts and illustrative analysis of mercury contamination in king mackerel. Environm. Intnl., 21, 627-635, 1995.
Yu, S., and E.O. Voit: A simple, flexible failure model. Biometrical J. 37, 595-609, 1995.
Voit, E.O., and S. Yu: The S-distribution. Approximation of discrete distributions. Biometrical J. 36, 205-219, 1994.
Voit, E.O.: The S-distribution. A tool for approximation and classification of univariate, unimodal probability distributions. Biometrical J. 34 (7), 855-878, 1992.
Voit, E.O., and P.F. Rust: Invited Tutorial: S-system analysis of continuous univariate probability distributions. J. Stat. Comp. Simul. 42, 187-249, 1992.
Voit, E.O. and P.F. Rust: Evaluation of the noncentral t distribution with S-systems. Biometrical J. 32(6), 681-695, 1990.
Rust, P.F. and E.O. Voit: Statistical densities, cumulatives, quantiles, and power obtained by S-system differential equations. J. Americ. Stat. Assoc. (JASA) 85 (410), 572-578, 1990.
Voit, E.O., and P.F. Rust: Invited Tutorial: S-system analysis of continuous univariate probability distributions. J. Stat. Comp. Simul. 42, 187-249, 1992.
Voit, E.O.: Recasting nonlinear models as S-systems. Mathl. Comput. Modelling 11, 140-145, 1988.
Savageau, M.A. and E.O. Voit: Recasting nonlinear differential equations as S-systems: A canonical nonlinear form. Mathem. Biosci. 87, 83-115, 1987.
Voit, E.O. and M.A. Savageau: Equivalence between S-systems and Volterra-systems. Mathem. Biosci. 78, 47-55, 1986.
Click here for full bibliography.
Books:
Voit, E.O. (ed): Canonical Nonlinear Modeling. S-System Approach to Understanding Complexity, xi+365 pp., Van Nostrand Reinhold, NY, 1991.
Voit, E.O.: Computational Analysis of Biochemical Systems. A Practical Guide for Biochemists and Molecular Biologists, xii + 530 pp., Cambridge University Press, Cambridge, U.K., 2000. (Available in Chinese)
Torres, N.V., and E.O. Voit: Pathway Analysis and Optimization in Metabolic Engineering. Cambridge University Press, Cambridge, U.K., 2002. (Available in Chinese)
Reviews:
Voit, E.O. and J.H. Schwacke: Understanding through Modeling. In: A.K. Konopka (Ed.) Systems Biology: Principles, Methods, and Concepts. CRC Press / Taylor & Francis Books, Boca Raton, pp. 27-82, 2007.
Voit, E.O.: Design and operation: Keys to understanding biological systems. in: A. Deustch, J. Howard, M. Falcke, and W. Zimmermann (Eds.), Function and Regulation of Cellular Systems: Experiments and Models, Birkhäuser-Verlag, Basel, 2004.
Voit, E.O.: The Dawn of a New Era of Metabolic Systems Analysis, Drug Discovery Today BioSilico 2(5), 182-189, 2004.
Voit, E.O.: Design principles and operating principles: The Yin and Yang of optimal functioning. Math. Biosc. 182, 81-92, 2003.
Voit, E.O.: Models-of-data and models-of processes in the post-genomic era. Special Issue in honor of John A. Jacquez (invited). Math. Biosc. 180, 263-274, 2002.
Voit, E.O.: Metabolic modeling: A tool of drug discovery in the post-genomic era. Drug Discovery Today 7(11), 621-628, 2002.
Voit, E.O.: Canonical modeling: A review of concepts with emphasis on environmental health (invited). Environmental Health Perspectives, 108, Suppl. 5: Mathematical Modeling in Environmental Health Studies, 895-909, 2000.
Voit, E.O. and N.V. Torres: Canonical modeling of complex pathways in biotechnology (Invited review). Recent Res. Devel. in Biotech. and Bioeng. 1, 321-341, 1998.
Voit, E.O.: Canonical modeling: a link between environmental models and statistics, Austrian J. Stats. 27, 109-121, 1998.
Voit, E.O.: Tutorial on the structure of S-systems. Tutorials of the Iizuka '96 4th International Conference on Soft Computing, Iizuka, Fukuoka, Japan, September 30-October 1, 1996.
Applications:
Schwacke, J.H., and E.O. Voit: The potential for signal integration and processing in interacting MAP kinase cascades. J. Theor. Biol. 246(4), 604-620, 2007.
Chou, I-C., H. Martens, and E.O. Voit: Parameter Estimation of S-distributions with Alternating Regression. Stat. Operations Res. Transactions (SORT), 31(1), 55-74. 2007.
Schwacke, J.H., and E.O. Voit: Concentration-dependent effects on the rapid and efficient activation of MAPK. Proteomics 7(6), 890-899, 2007.
Voit, E.O., A.R. Neves, and H. Santos. The Intricate Side of Systems Biology. PNAS, 103(25), 9452-9457, 2006.
Voit, E.O., J.S. Almeida, S. Marino, R. Lall, G. Goel, A.R. Neves, and H. Santos. Regulation of Glycolysis in Lactococcus lactis: An Unfinished Systems Biological Case Study. IEE Proc. Systems Biol. 153, 286-298, 2006.
Alvarez-Vasquez, F., K. J. Sims, Y. Okamoto, E. O. Voit, and Y. A. Hannun. Simulation and Evaluation of de novo Sphingolipid Fluxes in S. cerevisiae. Nature Jan 27; 433(7024): 425-430, 2005.
Alvarez-Vasquez, F., K.J. Sims, Y.A. Hannun, and E.O. Voit: Integration of kinetic information on yeast sphingolipid metabolism in dynamical pathway models. J. Theor. Biol. 226, 265-291, 2004.
Ferreira, A.E.N., A. Ponces, and E.O. Voit: A quantitative model of the generation of N -(carboxymethyl)lysine in the Maillard reaction between collagen and glucose. Biochem. J. 376(1), 109-121, 2003.
Voit, E.O.: Biochemical and genomic regulation of the trehalose cycle in Saccharomyces cerevisiae. J. Theor. Biol., 223, 55-78, 2003.
Voit, E.O., and T. Radivoyevitch: Biochemical systems analysis of genome-wide expression data, Bioinformatics 16(11), 1023-1037, 2000.
Voit, E.O.: Utility of Biochemical System Theory for the analysis of metabolic effects from low-dose chemical exposure, Risk Analysis 20(3), 393-402, 2000.
Curto, R., E.O. Voit, A. Sorribas, and M. Cascante: Analysis of abnormalities in purine metabolism leading to gout and to neurological dysfunctions in man, Biochem. J. 329, 477-487, 1998.
Curto, R., E.O. Voit, A. Sorribas, and M. Cascante: Mathematical models of purine metabolism in man, Math. Biosc. 151, 1-49, 1998.
Curto, R., E.O. Voit, A. Sorribas, and M. Cascante: Validation and steady-state analysis of a power-law model of purine metabolism, Biochem. J. 324, 761-775, 1997.
Berg, P.H., E.O. Voit, and R. White: A pharmacodynamic model for the action of the antibiotic Imipenem on Pseudomonas in vitro. Bull. Math. Biol. 58 (5), 923-938, 1996.
Voit, E.O., and P.J. Sands: Modeling forest growth. II. Biomass partitioning in Scots pine. Ecol. Modeling 86, 73-89, 1996.
Voit, E.O., and P.J. Sands: Modeling forest growth. I. Canonical approach. Ecol. Modeling 86, 51-71, 1996.
Voit, E.O.: Dynamics of self-thinning plant stands. Ann. Bot. 62, 67-78, 1988.
Voit, E.O. and M.A. Savageau: Power-law approach to modeling biological systems; II. Application to ethanol production. J. Ferment. Technol. 60 (3), 229-232, 1982.
Modeling Theory:
Wang, F.-S, C.-L. Ko and E. O. Voit: Kinetic Modeling Using S-systems and Lin-log Approaches. Biochem. Eng. J. 33, 238-247 2007.
Voit, E.O. Smooth bistable S-systems. IEE Proc. Systems Biol. 152, 207-213, 2005.
Mocek, W.T. and E.O. Voit: Approximation of delays in biochemical systems. Math. Biosc. 198, 190-216, 2005.
Ervadi-Radhakrishnan, A., and E.O. Voit: Controllability of nonlinear biochemical systems. Math. Biosc. 196, 99-123, 2005.
Schwacke, J.H., and E.O. Voit: Computation and analysis of time-dependent sensitivities in generalized mass action systems. J. Theor. Biol. 236(1), 21-38, 2005.
Schwacke, J.H., and E.O. Voit: Improved Methods for the Mathematically Controlled Comparison of Biochemical Systems. BMC Theoretical Biology and Medical Modelling 1:1, 2004.
Voit, E.O., F. Alvarez-Vasquez, and K.J. Sims: Analysis of dynamic labeling data. Math. Biosc. 191(1), 83-99, 2004.
Shiraishi, F. and E.O. Voit: Solution of a two-point boundary value model of immobilized enzyme reactions, using an S-system based root-finding method. Appl. Math. and Computation, 127, 289-310, 2002.
Voit, E.O., and A.E.N. Ferreira: Buffering in models of integrated biochemical systems, J. Theor. Biol., 191, 429-438, 1998.
Zhang, Z., Voit, E.O. and H. Zhang: A fast algorithm for computing Lie series solutions of autonomous differential equations. Int. J. Computer Math. 53, 237-251, 1994.
Voit, E.O.: S-system modeling of complex systems with chaotic input. Environmetrics 4(2), 153-186, 1993.
Voit, E.O.: Symmetries of S-systems. Mathem. Biosc. 109, 19-37, 1992.
Savageau, M.A., E.O. Voit, and D.H. Irvine: Biochemical systems theory and metabolic control theory. II. The role of summation and connectivity relationships. Mathem. Biosci. 86, 147-169, 1987.
Savageau, M.A., E.O. Voit, and D.H. Irvine: Biochemical systems theory and metabolic control theory. I. Fundamental similarities and differences. Mathem. Biosci. 86, 127-145, 1987.
Voit, E.O. and M.A. Savageau: Accuracy of alternative representations for integrated biochemical systems. Biochemistry 26, 6869-6880, 1987.
Voit, E.O. and M.A. Savageau: Analytical solutions to a generalized growth equation. J. Mathem. Anal. Appl. 103 (2), 380-386, 1984.
Voit, E.O. and M.A. Savageau: Power-law approach to modeling biological systems; III. Methods of analysis. J. Ferment. Technol. 60 (3), 233-241, 1982.
Parameter Estimation:
Chou, I-C., H. Martens, and E.O. Voit. Parameter Estimation in Biochemical Systems Models with Alternating Regression. BMC Theoretical Biology and Medical Modelling, 2006.
Marino, S. and E.O. Voit: An automated procedure for the extraction of metabolic network information from time series data. J. Bioinform. Comp. Biol. in press.
Lall, R. and E.O. Voit: Parameter Estimation in Modulated, Unbranched Reaction Chains within Biochemical Systems. J. Comput. Biol. Chem. 29, 309-318 (2005).
Voit, E.O., S. Marino, and R. Lall: Challenges for the identification of metabolic pathways from time series data. In Silico Biology 5, 83-92 (2005).
Veflingstad, S.R., J.S. Almeida, and E.O. Voit: Priming nonlinear searches for pathway identification. BMC Theoretical Biology and Medical Modelling 1:8, 2004.
Voit, E.O., and J.S. Almeida: Decoupling dynamical systems for pathway identification from metabolic profiles. Bioinformatics 20(11),1670-1681, 2004.
Sands, P.J., and E.O. Voit: Flux-based estimation of parameters in S-systems. Ecol. Modeling 93, 75-88, 1996.
Berg, P.H., E.O. Voit, and R. White: A pharmacodynamic model for the action of the antibiotic Imipenem on Pseudomonas in vitro. Bull. Math. Biol. 58 (5), 923-938, 1996.
Optimization in Biotechnology:
Polisetty, P.K., E.O. Voit, and E. P. Gatzke: Identification of metabolic system parameters using global optimization methods. BMC Theoretical Biology and Medical Modelling, 3(1):4, 2006.
Polisetty, P.K., E.O. Voit, E.P. Gatzke: Yield Optimization of Saccharomyces cerevisiae using a GMA Model and a MILP-based piecewise linear relaxation method. Proceedings of: Foundations of Systems Biology in Engineering, Santa Barbara, CA, August 7-10, 2005.
Voit, E.O. and E.P. Gatzke: Modeling of metabolic systems using global optimization methods. Proceedings of Adchem: International Symposium on Advanced Control of Chemical Processes, Hong Kong, January 11-14, 2004.
Long, C.E., E.O. Voit, and E.P. Gatzke: A mixed integer horizon formulation for prioritized objective inferential control of a bioprocess system. Proceedings of the American Control Conference, June 4-6, 2003, Denver, CO.
Torres, N.V., F. Alvarez-Vasquez, and E.O. Voit: Optimization of biotechnological processes with S-system models. Methodology and applications to fungal metabolism. In: D. K. Arora (Ed.) Handbook of Fungal Biotechnology (2th edition). Marcel Dekker, Inc. New York, 2002.
Voit, E.O. and M. Del Signore: Assessment of effects of experimental imprecision on optimized biochemical systems, Biotech. Bioengin. 74(5), 443-448, 2001.
Voit, E.O. and N.V. Torres: Canonical modeling of complex pathways in biotechnology (Invited review). Recent Res. Devel. in Biotech. and Bioeng. 1, 321-341, 1998.
Torres, N.V., F. Rodríguez, C. Glez-Alcón, and E.O. Voit: A novel approach to designing an overexpression strategy for metabolic engineering. Application to the carbohydrate metabolism in the citric acid producing mould Aspergillus niger, Food Techn. and Biotechn., 36, 177-184, 1998.
Torres, N.V., E.O. Voit, C. Glez-Alcón, and F. Rodríguez: An indirect optimization method for biochemical systems. Description of method and application to ethanol, glycerol and carbohydrate production in Saccharomyces cerevisiae, Biotechn. Bioengin. 55(5), 758-772, 1997.
Torres, N. V., E.O. Voit, and C. H. Alcón: Optimization of nonlinear biotechnological processes with linear programming. Application to citric acid production in Aspergillus niger. Biotechn. Bioengin. 49, 247-258, 1996.
Torres, N.V., C. González-Alcón, and E.O. Voit: Optimization of metabolic systems with linear programming. Application to biotechnological processes. in: T. Yamakawa and G. Matsumoto, Methodologies for the Conception, Design, and Application of Intelligent Systems, World Scientific, Singapore, 1996, pp. 171-174.
Voit, E.O.: Optimization in integrated biochemical systems. Biotechn. Bioengin. 40, 572-582, 1992.
Statistics with S-systems:
Yu, L., and E.O. Voit: Construction of bivariate S-distributions with copulas. Comp. Stat. Data Anal. in press.
Sorribas, A., J.M. Muiño, and E.O.Voit: GS-distributions: a new family of distributions for continuous unimodal variables. Comp. Stat. Data Anal. in press.
He, Q. and E.O. Voit: Estimation and completion of survival data with piecewise linear models and S-distributions. J. Stat. Comp. Simul. 75(4), 287-305 (2005).
Voit, E.O.: A maximum likelihood estimator for the shape parameters of S-distributions, Biometr. J., 42 (4), 471-479, 2000.
Voit, E.O., and L.H. Schwacke: Random number generation from right-skewed, symmetric, and left-skewed distribution, Risk Analysis 20(1): 59-71, 2000.
Sorribas, A., J. March, and E.O. Voit: Estimating age-related trends in cross-sectional studies using S-distributions, Stats. in Med. 10(5): 697-713, 2000.
Thompson, R.E., E.O. Voit, and G.I. Scott: Statistical modeling of sediment and oyster PAH contamination data collected at a South Carolina estuary (complete and left-censored samples), Environmetrics 11: 99-115, 2000.
Voit, E.O., and A. Sorribas: Computer modeling of dynamically changing distributions of random variables, Mathem. and Computer Modelling 31, 217-225, 2000.
Voit, E.O.: Canonical modeling: a link between environmental models and statistics, Austrian J. Stats. 27, 109-121, 1998.
Voit, E.O., and L.H. Schwacke: Scalability properties of the S-distribution, Biometrical J., 40, 665-684, 1998.
Voit, E.O., and R.G. Knapp: Derivation of the linear-logistic model and Cox's proportional hazard model from a canonical system description. Stats. in Med. 16, 1705-1729, 1997.
Voit, E.O.: Dynamic trends in distributions. Biometrical J. 38 (5), 587-603, 1996.
Balthis, W.L., and E.O. Voit, and G.M. Meaburn: Setting prediction limits for mercury concentrations in fish having high bioaccumulation potential, Environmetrics 7, 429-439, 1996.
Voit, E.O., W. L. Balthis, and R. A. Holser: Hierarchical Monte Carlo Modeling with S-distributions: Concepts and illustrative analysis of mercury contamination in king mackerel. Environm. Intnl., 21, 627-635, 1995.
Yu, S., and E.O. Voit: A simple, flexible failure model. Biometrical J. 37, 595-609, 1995.
Voit, E.O., and S. Yu: The S-distribution. Approximation of discrete distributions. Biometrical J. 36, 205-219, 1994.
Voit, E.O.: The S-distribution. A tool for approximation and classification of univariate, unimodal probability distributions. Biometrical J. 34 (7), 855-878, 1992.
Voit, E.O., and P.F. Rust: Invited Tutorial: S-system analysis of continuous univariate probability distributions. J. Stat. Comp. Simul. 42, 187-249, 1992.
Voit, E.O. and P.F. Rust: Evaluation of the noncentral t distribution with S-systems. Biometrical J. 32(6), 681-695, 1990.
Rust, P.F. and E.O. Voit: Statistical densities, cumulatives, quantiles, and power obtained by S-system differential equations. J. Americ. Stat. Assoc. (JASA) 85 (410), 572-578, 1990.
Recasting:
Voit, E.O., and P.F. Rust: Invited Tutorial: S-system analysis of continuous univariate probability distributions. J. Stat. Comp. Simul. 42, 187-249, 1992.
Voit, E.O.: Recasting nonlinear models as S-systems. Mathl. Comput. Modelling 11, 140-145, 1988.
Savageau, M.A. and E.O. Voit: Recasting nonlinear differential equations as S-systems: A canonical nonlinear form. Mathem. Biosci. 87, 83-115, 1987.
Voit, E.O. and M.A. Savageau: Equivalence between S-systems and Volterra-systems. Mathem. Biosci. 78, 47-55, 1986.