BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

348 related articles for article (PubMed ID: 26101250)

  • 1. BioJazz: in silico evolution of cellular networks with unbounded complexity using rule-based modeling.
    Feng S; Ollivier JF; Swain PS; Soyer OS
    Nucleic Acids Res; 2015 Oct; 43(19):e123. PubMed ID: 26101250
    [TBL] [Abstract][Full Text] [Related]  

  • 2. In Silico Evolution of Signaling Networks Using Rule-Based Models: Bistable Response Dynamics.
    Feng S; Soyer OS
    Methods Mol Biol; 2019; 1945():315-339. PubMed ID: 30945254
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Biological Network Inference and analysis using SEBINI and CABIN.
    Taylor R; Singhal M
    Methods Mol Biol; 2009; 541():551-76. PubMed ID: 19381531
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Designing synthetic networks in silico: a generalised evolutionary algorithm approach.
    Smith RW; van Sluijs B; Fleck C
    BMC Syst Biol; 2017 Dec; 11(1):118. PubMed ID: 29197394
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Evolutionary principles underlying structure and response dynamics of cellular networks.
    Steinacher A; Soyer OS
    Adv Exp Med Biol; 2012; 751():225-47. PubMed ID: 22821461
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Computational systems biology and dose-response modeling in relation to new directions in toxicity testing.
    Zhang Q; Bhattacharya S; Andersen ME; Conolly RB
    J Toxicol Environ Health B Crit Rev; 2010 Feb; 13(2-4):253-76. PubMed ID: 20574901
    [TBL] [Abstract][Full Text] [Related]  

  • 7. SEBINI: Software Environment for BIological Network Inference.
    Taylor RC; Shah A; Treatman C; Blevins M
    Bioinformatics; 2006 Nov; 22(21):2706-8. PubMed ID: 16954144
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Stochastic simulation GUI for biochemical networks.
    Vallabhajosyula RR; Sauro HM
    Bioinformatics; 2007 Jul; 23(14):1859-61. PubMed ID: 17586553
    [TBL] [Abstract][Full Text] [Related]  

  • 9. RuleMonkey: software for stochastic simulation of rule-based models.
    Colvin J; Monine MI; Gutenkunst RN; Hlavacek WS; Von Hoff DD; Posner RG
    BMC Bioinformatics; 2010 Jul; 11():404. PubMed ID: 20673321
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A new model for investigating the evolution of transcription control networks.
    Jenkins DJ; Stekel DJ
    Artif Life; 2009; 15(3):259-91. PubMed ID: 19254178
    [TBL] [Abstract][Full Text] [Related]  

  • 11. WebCell: a web-based environment for kinetic modeling and dynamic simulation of cellular networks.
    Lee DY; Yun C; Cho A; Hou BK; Park S; Lee SY
    Bioinformatics; 2006 May; 22(9):1150-1. PubMed ID: 16543278
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Modeling biological pathway dynamics with timed automata.
    Schivo S; Scholma J; Wanders B; Urquidi Camacho RA; van der Vet PE; Karperien M; Langerak R; van de Pol J; Post JN
    IEEE J Biomed Health Inform; 2014 May; 18(3):832-9. PubMed ID: 24808226
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Computational modeling of signal transduction networks: a pedagogical exposition.
    Prasad A
    Methods Mol Biol; 2012; 880():219-41. PubMed ID: 23361987
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Dynamic and structural constraints in signal propagation by regulatory networks.
    Estrada J; Guantes R
    Mol Biosyst; 2013 Feb; 9(2):268-84. PubMed ID: 23224050
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Protein design in biological networks: from manipulating the input to modifying the output.
    Van der Sloot AM; Kiel C; Serrano L; Stricher F
    Protein Eng Des Sel; 2009 Sep; 22(9):537-42. PubMed ID: 19574296
    [TBL] [Abstract][Full Text] [Related]  

  • 16. In silico Biochemical Reaction Network Analysis (IBRENA): a package for simulation and analysis of reaction networks.
    Liu G; Neelamegham S
    Bioinformatics; 2008 Apr; 24(8):1109-11. PubMed ID: 18310056
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Life's attractors : understanding developmental systems through reverse engineering and in silico evolution.
    Jaeger J; Crombach A
    Adv Exp Med Biol; 2012; 751():93-119. PubMed ID: 22821455
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Modeling and simulating networks of interdependent protein interactions.
    Stöcker BK; Köster J; Zamir E; Rahmann S
    Integr Biol (Camb); 2018 May; 10(5):290-305. PubMed ID: 29676773
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Full body: the importance of the phenotype in evolution.
    Kampis G; Gulyás L
    Artif Life; 2008; 14(3):375-86. PubMed ID: 18489249
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Cell++--simulating biochemical pathways.
    Sanford C; Yip ML; White C; Parkinson J
    Bioinformatics; 2006 Dec; 22(23):2918-25. PubMed ID: 17038347
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 18.