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Browsing University of Hertfordshire by Author "Schilstra, M."
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The effective calcium/calmodulin concentration determines the sensitivity of CaMKII to the frequency of calcium oscillations
Pinto, T.M.; Schilstra, M.; Steuber, Volker (2012)Calcium/calmodulin-dependent protein kinase II (CaMKII) is involved in the induction of many forms of synaptic plasticity in the brain. Experimental and computational studies have shown that CaMKII is sensitive to the ... -
Effects of the Tubulin-Colchicine Complex on Microtubule Dynamic Instability
Vandecandelaere, A.; Martin, S.R.; Schilstra, M.; Bayley, P.M. (1994)The effects of the tubulin-olchicine complex (Tu-Col) on the dynamic behavior of microtubules have been examined under steady-state conditions in vitro. The addition of Tu-Col to tubulin microtubules at steady state results ... -
An electron microscopic investigation of the structure of Alfalfa mosaic virus
Cremers, A.F.M.; Oostergetel, G.T.; Schilstra, M.; Mellema, J.E. (1980)Minimum beam electron microscopy and the three-dimensional reconstruction technique were used to analyse negatively stained Alfalfa mosaic virus particles and polymers of reassembled coat protein. Three strains of the virus ... -
The Essential Motif that wasn't there: Topological and Lesioning Analysis of Evolved Genetic Regulatory Networks
Knabe, J.; Nehaniv, C.L.; Schilstra, M. (Institute of Electrical and Electronics Engineers (IEEE), 2007) -
Evolution and morphogenesis of differentiated multicellular organisms: autonomously generated diffusion gradients for positional information
Knabe, J.; Schilstra, M.; Nehaniv, C.L. (2008) -
Evolution and morphogenesis of differentiated multicellular organisms: autonomously generated diffusion gradients for positional information
Knabe, J.; Schilstra, M.; Nehaniv, C.L. (MIT Press, 2008)Development is the powerful process involving a genome in the transformation from one egg cell to a multicellular organism with many cell types. The dividing cells manage to organize and assign themselves special, ... -
Evolutionary robustness of differentiation in genetic regulatory networks
Knabe, J.; Nehaniv, C.L.; Schilstra, M. (IOS Press, 2006)We investigate the ability of artificial Genetic Regulatory Networks (GRNs) to evolve differentiation. The proposed GRN model supports non-linear interaction between regulating factors, thereby facilitating the realization ... -
Evolving a Lingua Franca and Associated Software Infrastructure for Computational Systems Biology - the Systems Biology Markup Language (SBML) Project
Hucka, M.; Finney, A.; Bornstein, B.; Keating, S.; Shapiro, B.E.; Matthews, J.; Kovitz, B.L.; Schilstra, M.; Funahashi, A.; Doyle, J.C.; Kitano, H. (2004)Biologists are increasingly recognising that computational modelling is crucial for making sense of the vast quantities of complex experimental data that are now being collected. The systems biology field needs agreed-upon ... -
Evolving biological clocks using genetic regulatory networks
Knabe, J.; Nehaniv, C.L.; Schilstra, M.; Quick, T. (MIT Press, 2006) -
Evolving computational neural systems using synthetic developmental mechanisms
Adams, R.G.; Rust, A.G.; Schilstra, M.; Bolouri, H. (Elsevier, 2003)Biological development is highly complex, beginning with an egg and resulting in a complete living organism (Purves and Lichtman, 1985). Development is essentially sequential, establishing a gross structure which becomes ... -
Evolving spiking neural networks for temporal pattern recognition in the presence of noise
Abdelmotaleb, Ahmed; Davey, N.; Schilstra, M.; Steuber, Volker; Wrobel, Borys (MIT Press, 2014)Nervous systems of biological organisms use temporal patterns of spikes to encode sensory input, but the mechanisms that underlie the recognition of such patterns are unclear. In the present work, we explore how networks ... -
Exploring the concept of interaction computing through the discrete algebraic analysis of the Belousov-Zhabotinsky reaction
Dini, Paolo; Nehaniv, C.L.; Egri-Nagy, Attila; Schilstra, M. (2013-05)Interaction computing (IC) aims to map the properties of integrable low-dimensional non-linear dynamical systems to the discrete domain of finite-state automata in an attempt to reproduce in software the self-organizing ... -
Fe(II1)-Lipoxygenase Converts Its Suicide-Type Inhibitor Octadeca-9,12-diynoic Acid into 1l -Oxooctadeca-9,12-diynoic Acid
Nieuwenhuizen, W.F.; Schilstra, M.; Van der Kerk, A.; Brandsma, L.; Veldink, G.A.; Vliegenthart, J.F.G. (1995) -
Filamentous actin binding enables betaCaMKII to regulate bidirectional plasticity in cerebellar Purkinje cells
Pinto, T.M.; Schilstra, M.; Steuber, Volker (2013)Poster presented at CNS 2013 -
A Finite State Automation Model for Multi-Neuron Simulations
Schilstra, M.; Rust, A.G.; Adams, R.G.; Bolouri, H. (2002) -
From evolving artificial gene regulatory networks to evolving spiking neural networks for pattern recognition
Abdelmotaleb, Ahmed; Schilstra, M.; Davey, N.; Steuber, Volker; Wrobel, Borys (2013)Poster presented at CNS 2013 -
Genetic algorithms and their application to in silico evolution of genetic regulatory networks
Knabe, J.; Wegner, K.; Nehaniv, C.L.; Schilstra, M. (2010)A genetic algorithm (GA) is a procedure that mimics processes occurring in Darwinian evolution to solve computational problems. A GA introduces variation through "mutation" and "recombination" in a "population" of possible ... -
Genetic regulatory network models of biological clocks : evolutionary history matters
Knabe, Johannes F.; Nehaniv, C.L.; Schilstra, M. (2008)We study the evolvability and dynamics of artificial genetic regulatory networks (GRNs), as active control systems, realizing simple models of biological clocks that have evolved to respond to periodic environmental stimuli ... -
A Genomic Regulatory Network for Development
Davidson, E.H.; Rast, J.P.; Oliveri, P.; Ransick, A.; Calestani, C.; Yuh, C.H.; Minokawa, T.; Amore, G.; Hinman, V.; Arenas-Mena, C.; Otim, A.; Brown, C.T.; Livi, C.B.; Lee, P.Y.; Revilla, R.; Rust, A.G.; Pan, Z.; Schilstra, M.; Clarke, P.J.C.; Arnone, M.I.; Rowen, L.; Cameron, R.A.; McClay, D.R.; Hood, L.; Bolouri, H. (2002)Development of the body plan is controlled by large networks of regulatory genes. A gene regulatory network that controls the specification of endoderm and mesoderm in the sea urchin embryo is summarized here. The network ...