Attila Csikasz-Nagy

Summary

Publications

  1. ncbi Adaptive dynamics with a single two-state protein
    Attila Csikasz-Nagy
    Microsoft Research University of Trento Centre for Computational and Systems Biology, Piazza Manci 17, Povo Trento, Italy
    J R Soc Interface 5:S41-7. 2008
  2. ncbi Molecular network dynamics of cell cycle control: transitions to start and finish
    Attila Csikasz-Nagy
    The Microsoft Research, University of Trento Centre for Computational and Systems Biology, 38123, Povo Trento, Italy
    Methods Mol Biol 761:277-91. 2011
  3. ncbi Response dynamics of phosphorelays suggest their potential utility in cell signalling
    Attila Csikasz-Nagy
    Microsoft Research University of Trento Centre for Computational and Systems Biology CoSBi, Povo Trento, Italy
    J R Soc Interface 8:480-8. 2011
  4. ncbi Computational systems biology of the cell cycle
    Attila Csikasz-Nagy
    The Microsoft Research University of Trento Centre for Computational and Systems Biology, Piazza Manci 17, Povo Trento I 38100, Italy
    Brief Bioinform 10:424-34. 2009
  5. ncbi Cell cycle regulation by feed-forward loops coupling transcription and phosphorylation
    Attila Csikasz-Nagy
    The Microsoft Research, University of Trento Centre for Computational and Systems Biology, Povo, Trento, Italy
    Mol Syst Biol 5:236. 2009
  6. ncbi Transcriptional regulation is a major controller of cell cycle transition dynamics
    Alessandro Romanel
    The Microsoft Research University of Trento Centre for Computational and Systems Biology, Trento, Italy
    PLoS ONE 7:e29716. 2012
  7. ncbi Stochastic Petri Net extension of a yeast cell cycle model
    Ivan Mura
    The Microsoft Research University of Trento, Centre for Computational and Systems Biology, Piazza Manci 17, Povo Trento I 38100, Italy
    J Theor Biol 254:850-60. 2008
  8. ncbi Regulating the total level of a signaling protein can vary its dynamics in a range from switch like ultrasensitivity to adaptive responses
    Orkun S Soyer
    Microsoft Research University of Trento Centre for Computational and Systems Biology, Italy
    FEBS J 276:3290-8. 2009
  9. ncbi Prosperity is associated with instability in dynamical networks
    Matteo Cavaliere
    The Microsoft Research University of Trento Centre for Computational and Systems Biology, Povo Trento 38123, Italy
    J Theor Biol 299:126-38. 2012
  10. ncbi Role of mRNA Gestation and Senescence in Noise Reduction during the Cell Cycle
    Attila Csikasz-Nagy
    The Microsoft Research University of Trento Centre for Computational and Systems Biology, Povo, Italy
    In Silico Biol 10:81-8. 2010

Collaborators

Detail Information

Publications11

  1. ncbi Adaptive dynamics with a single two-state protein
    Attila Csikasz-Nagy
    Microsoft Research University of Trento Centre for Computational and Systems Biology, Piazza Manci 17, Povo Trento, Italy
    J R Soc Interface 5:S41-7. 2008
    ..The analysis of coupled BioNetUnits will show how the presented dynamics at single unit will change upon increased system complexity and how such systems would mediate biological functions...
  2. ncbi Molecular network dynamics of cell cycle control: transitions to start and finish
    Attila Csikasz-Nagy
    The Microsoft Research, University of Trento Centre for Computational and Systems Biology, 38123, Povo Trento, Italy
    Methods Mol Biol 761:277-91. 2011
    ..Here we review the basic physiological and molecular transitions in the cell cycle and present how the system-level emergent properties were found by the help of mathematical/computational modeling...
  3. ncbi Response dynamics of phosphorelays suggest their potential utility in cell signalling
    Attila Csikasz-Nagy
    Microsoft Research University of Trento Centre for Computational and Systems Biology CoSBi, Povo Trento, Italy
    J R Soc Interface 8:480-8. 2011
    ..In addition, our analysis suggests that middle layers of phosphorelays could embed thresholds. We discuss the consequence of these findings in relation to why cells might use phosphorelays along with enzymatic kinase cascades...
  4. ncbi Computational systems biology of the cell cycle
    Attila Csikasz-Nagy
    The Microsoft Research University of Trento Centre for Computational and Systems Biology, Piazza Manci 17, Povo Trento I 38100, Italy
    Brief Bioinform 10:424-34. 2009
    ..Here we review past and present of computational modeling of cell-cycle regulation, and discuss possible future directions of the field...
  5. ncbi Cell cycle regulation by feed-forward loops coupling transcription and phosphorylation
    Attila Csikasz-Nagy
    The Microsoft Research, University of Trento Centre for Computational and Systems Biology, Povo, Trento, Italy
    Mol Syst Biol 5:236. 2009
    ..The signal-transduction properties of FFLs allow one (or a few) Cdk signal(s) to drive a host of cell cycle responses in correct temporal sequence...
  6. ncbi Transcriptional regulation is a major controller of cell cycle transition dynamics
    Alessandro Romanel
    The Microsoft Research University of Trento Centre for Computational and Systems Biology, Trento, Italy
    PLoS ONE 7:e29716. 2012
    ..Based on these observations, we propose two transcriptional control modes of cell cycle regulation that either STOP or let the cycle GO in case of a transcriptional failure. We discuss the biological relevance of such differences...
  7. ncbi Stochastic Petri Net extension of a yeast cell cycle model
    Ivan Mura
    The Microsoft Research University of Trento, Centre for Computational and Systems Biology, Piazza Manci 17, Povo Trento I 38100, Italy
    J Theor Biol 254:850-60. 2008
    ..The SPN model fine-tunes the simulation results, enriching the breadth and the quality of its outcome...
  8. ncbi Regulating the total level of a signaling protein can vary its dynamics in a range from switch like ultrasensitivity to adaptive responses
    Orkun S Soyer
    Microsoft Research University of Trento Centre for Computational and Systems Biology, Italy
    FEBS J 276:3290-8. 2009
    ..We discuss relevant biological examples in which regulating total protein levels could be exploited to alter signaling behavior...
  9. ncbi Prosperity is associated with instability in dynamical networks
    Matteo Cavaliere
    The Microsoft Research University of Trento Centre for Computational and Systems Biology, Povo Trento 38123, Italy
    J Theor Biol 299:126-38. 2012
    ..Cooperation is prosperous when the network has frequent formation and fragmentation...
  10. ncbi Role of mRNA Gestation and Senescence in Noise Reduction during the Cell Cycle
    Attila Csikasz-Nagy
    The Microsoft Research University of Trento Centre for Computational and Systems Biology, Povo, Italy
    In Silico Biol 10:81-8. 2010
    ..This result suggests that the complex process of transcription can be more accurately approximated by multi-step linear processes...
  11. ncbi Role of mRNA Gestation and Senescence in Noise Reduction during the Cell Cycle
    Attila Csikasz-Nagy
    The Microsoft Research University of Trento Centre for Computational and Systems Biology, Povo, Italy
    Stud Health Technol Inform 162:236-43. 2011
    ..This result suggests that the complex process of transcription can be more accurately approximated by multi-step linear processes...