Academic literature on the topic 'Biochemical model'

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Journal articles on the topic "Biochemical model"

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Antoniotti, Marco, Alberto Policriti, Nadia Ugel, and Bud Mishra. "Model Building and Model Checking for Biochemical Processes." Cell Biochemistry and Biophysics 38, no. 3 (2003): 271–86. http://dx.doi.org/10.1385/cbb:38:3:271.

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Sahley, Tony L., and Richard H. Nodar. "A biochemical model of peripheral tinnitus." Hearing Research 152, no. 1-2 (2001): 43–54. http://dx.doi.org/10.1016/s0378-5955(00)00235-5.

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Appanna, Vasu D., Shawna L. Anderson, and Tamara Skakoon. "Biogenesis of calcite: A biochemical model." Microbiological Research 152, no. 4 (1997): 341–43. http://dx.doi.org/10.1016/s0944-5013(97)80049-3.

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Johnson, Mark A. "Biochemical bone fracture healing process model." IFAC Proceedings Volumes 36, no. 15 (2003): 335–40. http://dx.doi.org/10.1016/s1474-6670(17)33525-5.

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Elstner, Erich F., R. Adamczyk, A. Furch, and R. Kröner. "Biochemical Model Reactions for Cataract Research." Ophthalmic Research 17, no. 5 (1985): 302–7. http://dx.doi.org/10.1159/000265390.

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Craciun, Gheorghe, Jaejik Kim, Casian Pantea, and Grzegorz A. Rempala. "Statistical Model for Biochemical Network Inference." Communications in Statistics - Simulation and Computation 42, no. 1 (2013): 121–37. http://dx.doi.org/10.1080/03610918.2011.633200.

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Feliu, Elisenda, and Carsten Wiuf. "Simplifying biochemical models with intermediate species." Journal of The Royal Society Interface 10, no. 87 (2013): 20130484. http://dx.doi.org/10.1098/rsif.2013.0484.

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Mathematical models are increasingly being used to understand complex biochemical systems, to analyse experimental data and make predictions about unobserved quantities. However, we rarely know how robust our conclusions are with respect to the choice and uncertainties of the model. Using algebraic techniques, we study systematically the effects of intermediate, or transient, species in biochemical systems and provide a simple, yet rigorous mathematical classification of all models obtained from a core model by including intermediates. Main examples include enzymatic and post-translational mod
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Miskovic, Ljubisa, Jonas Béal, Michael Moret, and Vassily Hatzimanikatis. "Uncertainty reduction in biochemical kinetic models: Enforcing desired model properties." PLOS Computational Biology 15, no. 8 (2019): e1007242. http://dx.doi.org/10.1371/journal.pcbi.1007242.

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Li, Shi, Xi Ju Zong, and Yan Hu. "Modeling and Control of Biochemical Reactor." Advanced Materials Research 791-793 (September 2013): 818–21. http://dx.doi.org/10.4028/www.scientific.net/amr.791-793.818.

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This paper is concerns with the study of modeling and control of biochemical reactor. Firstly, a mathematical model is established for a typical biochemical reactor, the mass balance equations are established individually for substrate concentration and biomass concentration. Then, the model is linearized at the steady-state point, two linear models are derived: state space model and transfer function model. The transfer function model is used in internal model control (IMC), where the filter parameter is selected and discussed. The state space model is applied in model predictive control (MPC
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Iqbal, Muhammad Asad, Syed Tauseef Mohyud-Din, and Bandar Bin-Mohsin. "A study of nonlinear biochemical reaction model." International Journal of Biomathematics 09, no. 05 (2016): 1650071. http://dx.doi.org/10.1142/s1793524516500716.

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The present study deals with the introduction of an alteration in Legendre wavelets method by availing of the Picard iteration method for system of differential equations and named it Legendre wavelet-Picard method (LWPM). Convergence of the proposed method is also discussed. In order to check the competence of the proposed method, basic enzyme kinetics is considered. Systems of nonlinear ordinary differential equations are formed from the considered enzyme-substrate reaction. The results obtained by the proposed LWPM are compared with the numerical results obtained from Runge–Kutta method of
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Dissertations / Theses on the topic "Biochemical model"

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Khoshnaw, Sarbaz Hamza Abdullah. "Model reductions in biochemical reaction networks." Thesis, University of Leicester, 2015. http://hdl.handle.net/2381/32442.

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Many complex kinetic models in the field of biochemical reactions contain a large number of species and reactions. These models often require a huge array of computational tools to analyse. Techniques of model reduction, which arise in various theoretical and practical applications in systems biology, represent key critical elements (variables and parameters) and substructures of the original system. This thesis aims to study methods of model reduction for biochemical reaction networks. It has three goals related to techniques of model reduction. The primary goal provides analytical approximat
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Hughes, Helen Margaret. "Model systems for studying the biochemical effects of hepatotoxins." Thesis, Cardiff University, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.254495.

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Wu, Zujian. "A generic approach to behaviour-driven biochemical model construction." Thesis, Brunel University, 2012. http://bura.brunel.ac.uk/handle/2438/7413.

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Modelling of biochemical systems has received considerable attention over the last decade from bioengineering, biochemistry, computer science, and mathematics. This thesis investigates the applications of computational techniques to computational systems biology, for the construction of biochemical models in terms of topology and kinetic rates. Due to the complexity of biochemical systems, it is natural to construct models representing the biochemical systems incrementally in a piecewise manner. Syntax and semantics of two patterns are defined for the instantiation of components which are exte
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Wu, Jialiang. "Hybrid modeling and analysis of multiscale biochemical reaction networks." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/47723.

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This dissertation addresses the development of integrative modeling strategies capable of combining deterministic and stochastic, discrete and continuous, as well as multi-scale features. The first set of studies combines the purely deterministic modeling methodology of Biochemical Systems Theory (BST) with a hybrid approach, using Functional Petri Nets, which permits the account of discrete features or events, stochasticity, and different types of delays. The efficiency and significance of this combination is demonstrated with several examples, including generic biochemical networks with feed
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Trumble, Troy Neal. "Early osteoarthritic changes in a canine cranial cruciate deficient model." Access citation, abstract and download form; downloadable file 15.41 Mb, 2004. http://wwwlib.umi.com/dissertations/fullcit/3131703.

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Quaiser, Tom [Verfasser]. "Data- and model-based identification of biochemical processes / Tom Quaiser." Aachen : Shaker, 2012. http://d-nb.info/1069045845/34.

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Gibb, Jason Ocean Telford. "NMR studies on the effects of model pollutants in selected invertebrate species." Thesis, Birkbeck (University of London), 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.268053.

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Banks, Christopher Jon. "Spatio-temporal logic for the analysis of biochemical models." Thesis, University of Edinburgh, 2015. http://hdl.handle.net/1842/10512.

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Process algebra, formal specification, and model checking are all well studied techniques in the analysis of concurrent computer systems. More recently these techniques have been applied to the analysis of biochemical systems which, at an abstract level, have similar patterns of behaviour to concurrent processes. Process algebraic models and temporal logic specifications, along with their associated model-checking techniques, have been used to analyse biochemical systems. In this thesis we develop a spatio-temporal logic, the Logic of Behaviour in Context (LBC), for the analysis of biochemical
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Reid, Cherith Norma. "Biochemical basis of interspecific cell signalling : an invertebrate and vertebrate model." Thesis, Queen's University Belfast, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.326448.

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Mintz, Christina. "Predicting Chemical and Biochemical Properties Using the Abraham General Solvation Model." Thesis, University of North Texas, 2009. https://digital.library.unt.edu/ark:/67531/metadc28373/.

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Several studies were done to illustrate the versatillity of the Abraham model in mathematically describing the various solute-solvent interactions found in a wide range of different chemical and biological systems. The first study focused on using the solvation model to construct mathematical correlations describing the minimum inhibitory concentration of organic compounds for growth inhibition towards the three bacterial strains Porphyromonas gingivalis, Selenomonas artemidis, and Streptococcus sobrinus. The next several studies expand the practicallity of the Abraham model by predicting fr
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Books on the topic "Biochemical model"

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DeCampos, Kleber N. Functional and biochemical assessment of post preservation lung viability in a rat model. National Library of Canada, 1992.

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Fieldhouse, John. Biochemical structural models. 2nd ed. Witmehá Productions, 1993.

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Fieldhouse, John. Biochemical structural models. Witmehá Productions, 1989.

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Ruwe, Patrick Alan. The treatment of peripheral nerve injuries with cyopreserved autografts: A functional, histological, and biochemical evaluation of the role of cryopreservation in the rat model. s.n.], 1987.

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Caemmerer, S. Von. Biochemical models of leaf photosynthesis. CSIRO Pub., 2000.

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Caemmerer, S. von. Biochemical models of photosynthetic CO2 assimilation. CSIRO, 1999.

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Computer games and simulation for biochemical engineering. Wiley, 1985.

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Parag, Garhyan, ed. Conservation equations and modeling of chemical and biochemical processes. Marcel Dekker, 2003.

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Kafarov, V. V. Modelirovanie i sistemnyĭ analiz biokhimicheskikh proizvodstv. Lesnai͡a︡ Promyshl., 1985.

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Skinner, F. Interpretation of ultimate biochemical oxygen demand data via kinetic curve extrapolation models. Environmental Technology Division, Alberta Environmental Centre, 1990.

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Book chapters on the topic "Biochemical model"

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Pop, Paul, Mirela Alistar, Elena Stuart, and Jan Madsen. "Biochemical Application Model." In Fault-Tolerant Digital Microfluidic Biochips. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-23072-6_4.

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Ostell, James M., and Jonathan A. Kans. "The NCBI Data Model." In Methods of Biochemical Analysis. John Wiley & Sons, Inc., 2006. http://dx.doi.org/10.1002/9780470110607.ch6.

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Ostell, James M., Sarah J. Wheelan, and Jonathan A. Kans. "The NCBI Data Model." In Methods of Biochemical Analysis. John Wiley & Sons, Inc., 2002. http://dx.doi.org/10.1002/0471223921.ch2.

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von Caemmerer, Susanne, Graham Farquhar, and Joseph Berry. "Biochemical Model of C3 Photosynthesis." In Photosynthesis in silico. Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-1-4020-9237-4_9.

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Fränzle, Stefan. "A Causal Model of Biochemical Essentiality." In Chemical Elements in Plant and Soil: Parameters Controlling Essentiality. Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-2752-8_3.

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Chabrier, Nathalie, and François Fages. "Symbolic Model Checking of Biochemical Networks." In Computational Methods in Systems Biology. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-36481-1_13.

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Fages, François. "Symbolic Model-Checking for Biochemical Systems." In Logic Programming. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-24599-5_7.

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Jeong-Woo, Choi, Cho Sang-Won, Huh Yun-Jun, and Lee Won-Hong. "Bioproduct Adsorption on Encapsulated Adsorbent: Local Thermodynamic Equilibrium Model." In Biochemical Engineering for 2001. Springer Japan, 1992. http://dx.doi.org/10.1007/978-4-431-68180-9_154.

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Werdan, Karl, and Ursula Müller-Werdan. "Elucidating molecular mechanisms of septic cardiomyopathy — the cardiomyocyte model." In Biochemical Regulation of Myocardium. Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-1289-5_36.

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Anderson, David F., and Thomas G. Kurtz. "Analytic approaches to model simplification and approximation." In Stochastic Analysis of Biochemical Systems. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16895-1_4.

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Conference papers on the topic "Biochemical model"

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Bashkirtseva, Irina, and Svetlana Zaitseva. "Analysis of dynamic modes in 3D biochemical model." In THE VII INTERNATIONAL YOUNG RESEARCHERS’ CONFERENCE – PHYSICS, TECHNOLOGY, INNOVATIONS (PTI-2020). AIP Publishing, 2020. http://dx.doi.org/10.1063/5.0036606.

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Prud'homme, M., and S. Jasmin. "INVERSE DETERMINATION OF BIOCHEMICAL MODEL PARAMETERS IN POROUS MEDIUM CONVECTION WITH BIOCHEMICAL HEATING." In Annals of the Assembly for International Heat Transfer Conference 13. Begell House Inc., 2006. http://dx.doi.org/10.1615/ihtc13.p5.140.

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Rao, Shodhan, Arjan van der Schaft, Karen van Eunen, Barbara M. Bakker, and Bayu Jayawardhana. "Model-order reduction of biochemical reaction networks." In 2013 European Control Conference (ECC). IEEE, 2013. http://dx.doi.org/10.23919/ecc.2013.6669587.

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Bashkirtseva, Irina A., and Svetlana S. Zaitseva. "Stochastic multimodal oscillations in nonlinear biochemical model." In PHYSICS, TECHNOLOGIES AND INNOVATION (PTI-2019): Proceedings of the VI International Young Researchers’ Conference. AIP Publishing, 2019. http://dx.doi.org/10.1063/1.5134341.

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Ghaemi, Reza, and Domitilla Del Vecchio. "Evaluating the robustness of a biochemical network model." In 2007 46th IEEE Conference on Decision and Control. IEEE, 2007. http://dx.doi.org/10.1109/cdc.2007.4434348.

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Zhao, Yihe, Libo Zhao, Zhikang Li, et al. "Lumped Element Model for CMUTs­Based Biochemical Resonant Sensor." In 2019 20th International Conference on Solid-State Sensors, Actuators and Microsystems & Eurosensors XXXIII (TRANSDUCERS & EUROSENSORS XXXIII). IEEE, 2019. http://dx.doi.org/10.1109/transducers.2019.8808692.

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Javed, Anum, and Mian Ilyas Ahmad. "Projection-Based Model Order Reduction for Biochemical Systems." In 2019 International Conference on Applied and Engineering Mathematics (ICAEM). IEEE, 2019. http://dx.doi.org/10.1109/icaem.2019.8853743.

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Khalid, Arfeen, and Sumit Kumar Jha. "Calibration of Rule-Based Stochastic Biochemical Models using Statistical Model Checking." In 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2018. http://dx.doi.org/10.1109/bibm.2018.8621292.

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Lapid, Hadas, Assaf Marron, Smadar Szekely, and David Harel. "Using Reactive-System Modeling Techniques to Create Executable Models of Biochemical Pathways." In 7th International Conference on Model-Driven Engineering and Software Development. SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0007572504540464.

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Lapid, Hadas, Assaf Marron, Smadar Szekely, and David Harel. "Using Reactive-System Modeling Techniques to Create Executable Models of Biochemical Pathways." In 7th International Conference on Model-Driven Engineering and Software Development. SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0007572504560466.

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Reports on the topic "Biochemical model"

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Aden, Andy. Biochemical Production of Ethanol from Corn Stover: 2007 State of Technology Model. Office of Scientific and Technical Information (OSTI), 2008. http://dx.doi.org/10.2172/1218322.

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Humbird, D., and A. Aden. Biochemical Production of Ethanol from Corn Stover: 2008 State of Technology Model. Office of Scientific and Technical Information (OSTI), 2009. http://dx.doi.org/10.2172/962490.

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Aden, A. Biochemical Production of Ethanol from Corn Stover: 2007 State of Technology Model. Office of Scientific and Technical Information (OSTI), 2008. http://dx.doi.org/10.2172/928256.

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