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  1. Genetdes: automatic design of transcriptiona l networks: Bioinformatics , Vol. 23, No. 14. (15 July 2007), pp. 1857-1858.Moti vation: The rational design of biological networks with prescribed functions is limited to gene circuits of a few genes. Larger networks involve complex interactions with many parameters and the use of automated computational tools can be very valuable. We propose a new tool to design transcriptiona l networks with targeted behavior that could be used to better understand the design principles of genetic circuits. Results: We have implemented a Simulated Annealing optimization algorithm that explores throughout the space of transcription networks to obtain a specific behavior. The software outputs a transcriptiona l network with all the corresponding kinetic parameters in SBML format. We provide examples of transcriptiona l circuits with logical and oscillatory behaviors. Our tool can also be applied to design networks with multiple external input and output genes. Availability: The software, a tutorial manual, parameter sets and examples are freely available at http://synth-b io.yi.org/gene tdes.html Contact: Alfonso.Jarami llo@polytechni que.edu 10.1093/bioinf ormatics/btm23 7Guillermo Rodrigo, Javier Carrera, Alfonso Jaramillo

    Source: Bioinformatics, Vol. 23, No. 14. (15 July 2007), pp. 1857-1858.

  2. Evolving complex dynamics in electronic models of genetic networks.: Chaos (Woodbury, N.Y.), Vol. 14, No. 3. (September 2004), pp. 707-715.Ordina ry differential equations are often used to model the dynamics and interactions in genetic networks. In one particularly simple class of models, the model genes control the production rates of products of other genes by a logical function, resulting in piecewise linear differential equations. In this article, we construct and analyze an electronic circuit that models this class of piecewise linear equations. This circuit combines CMOS logic and RC circuits to model the logical control of the increase and decay of protein concentrations in genetic networks. We use these electronic networks to study the evolution of limit cycle dynamics. By mutating the truth tables giving the logical functions for these networks, we evolve the networks to obtain limit cycle oscillations of desired period. We also investigate the fitness landscapes of our networks to determine the optimal mutation rate for evolution.Jona than Mason, Paul Linsay, JJ Collins, Leon Glass

    Source: Chaos (Woodbury, N.Y.), Vol. 14, No. 3. (September 2004), pp. 707-715.

  3. In silico evolution of functional modules in biochemical networks.: Systems biology, Vol. 153, No. 4. (July 2006), pp. 223-235.Unders tanding the large reaction networks found in biological systems is a daunting task. One approach is to divide a network into more manageable smaller modules, thus simplifying the problem. This is a common strategy used in engineering. However, the process of identifying biological modules is still in its infancy and very little is understood about the range and capabilities of motif structures found in biological modules. In order to delineate these modules, a library of functional motifs has been generated via in silico evolution techniques. On the basis of their functional forms, networks were evolved from four broad areas: oscillators, bistable switches, homeostatic systems and frequency filters. Some of these motifs were constructed from simple mass action kinetics, others were based on Michaelis-Ment en kinetics as found in protein/protei n networks and the remainder were based on Hill equations as found in gene/protein interaction networks. The purpose of the study is to explore the capabilities of different network architectures and the rich variety of functional forms that can be generated. Ultimately, the library may be used to delineate functional motifs in real biological networks.SR Paladugu, V Chickarmane, A Deckard, JP Frumkin, M McCormack, HM Sauro

    Source: Systems biology, Vol. 153, No. 4. (July 2006), pp. 223-235.

  4. Electricity Market Design: The Good, the Bad, and the Ugly: Hawaii International Conference on System Sciences, Vol. 2 (2003), 54b.This paper examines principles of market design as applied to electricity markets. I illustrate the principles with examples of both good and bad designs. I discuss one of the main design challenges-dea ling with market power. I then discuss FERC's choice of a standard market design.Peter Cramton

    Source: Hawaii International Conference on System Sciences, Vol. 2 (2003), 54b.

  5. The Landscape of Electronic Market Design: Management Science, Vol. 51, No. 3. (2005), pp. 316-327.This paper presents an introductory survey for this special issue of "Managemen t Science" on electronic markets. We acquaint the reader with some fundamental concepts in the study of electronic market mechanisms, while simultaneously presenting a survey and summary of the essential literature in this area. Along the way, we position each of the papers presented in this special issue within the existing literature, demonstrating the deep impact of these 14 articles on an already broad body of knowledge.G Anandalingam, Robert Day, S Raghavan

    Source: Management Science, Vol. 51, No. 3. (2005), pp. 316-327.

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