Modelling the Tunability of Early T Cell Signalling Events
暂无分享,去创建一个
Jonathan Timmis | Andrew M. Tyrrell | Andrew J. Greensted | Nick D. L. Owens | A. Tyrrell | J. Timmis
[1] Ofer Feinerman,et al. Quantitative challenges in understanding ligand discrimination by αβ T cells , 2008 .
[2] Jonathan Timmis,et al. An interdisciplinary perspective on artificial immune systems , 2008, Evol. Intell..
[3] Holger Hermanns,et al. Interactive Markov Chains , 2002, Lecture Notes in Computer Science.
[4] Luca Cardelli,et al. Efficient, Correct Simulation of Biological Processes in the Stochastic Pi-calculus , 2007, CMSB.
[5] Corrado Priami,et al. Stochastic pi-Calculus , 1995, Comput. J..
[6] R. Germain,et al. The dynamics of T cell receptor signaling: complex orchestration and the key roles of tempo and cooperation. , 1999, Annual review of immunology.
[7] Z. Grossman,et al. Autoreactivity, dynamic tuning and selectivity. , 2001, Current opinion in immunology.
[8] Chi-Ying F. Huang,et al. Ultrasensitivity in the mitogen-activated protein kinase cascade. , 1996, Proceedings of the National Academy of Sciences of the United States of America.
[9] G. Norman,et al. Model checking the probabilistic π-calculus , 2007 .
[10] Peng Wu,et al. Model checking the probabilistic pi-calculus , 2007 .
[11] Jayajit Das,et al. Sensitivity of T cells to antigen and antagonism emerges from differential regulation of the same molecular signaling module , 2007, Proceedings of the National Academy of Sciences.
[12] Marta Z. Kwiatkowska,et al. Probabilistic model checking of complex biological pathways , 2008, Theor. Comput. Sci..
[13] Robin Milner,et al. Communicating and mobile systems - the Pi-calculus , 1999 .
[14] Dejan Milutinovic,et al. Immunological self-tolerance: lessons from mathematical modeling , 2005 .
[15] J. Hopfield. Kinetic proofreading: a new mechanism for reducing errors in biosynthetic processes requiring high specificity. , 1974, Proceedings of the National Academy of Sciences of the United States of America.
[16] T. McKeithan,et al. Kinetic proofreading in T-cell receptor signal transduction. , 1995, Proceedings of the National Academy of Sciences of the United States of America.
[17] Z. Grossman,et al. Adaptive cellular interactions in the immune system: the tunable activation threshold and the significance of subthreshold responses. , 1992, Proceedings of the National Academy of Sciences of the United States of America.
[18] D. Gillespie. Exact Stochastic Simulation of Coupled Chemical Reactions , 1977 .
[19] Ofer Feinerman,et al. Quantitative challenges in understanding ligand discrimination by alphabeta T cells. , 2008, Molecular immunology.
[20] Jeremy H. Brock. Immunobiology: the immune system in health and disease, C.A. Janeway, P. Travers (Eds.). Garland Publishers (1994), £18.95 (xvii + 575 pages) ISBN 0 865 42811 5 , 1995 .
[21] Ian Stark,et al. The Continuous pi-Calculus: A Process Algebra for Biochemical Modelling , 2008, CMSB.
[22] Corrado Priami,et al. Application of a stochastic name-passing calculus to representation and simulation of molecular processes , 2001, Inf. Process. Lett..
[23] Bernhard Hemmer,et al. TCR ligand discrimination is enforced by competing ERK positive and SHP-1 negative feedback pathways , 2003, Nature Immunology.
[24] Davide Sangiorgi,et al. Communicating and Mobile Systems: the π-calculus, , 2000 .
[25] Ronald N Germain,et al. Modeling T Cell Antigen Discrimination Based on Feedback Control of Digital ERK Responses , 2005, PLoS biology.