Immune System Publications

• Spatially distributed infection increases viral load in a computational model of SARS-CoV-2 lung infection M. Moses, S. Hofmeyr, J. Cannon, A. Andrews, R. Gridley, M. Hinga, K. Leyba, A. Pribisova, V. Surjadidjaja1, H. TasnimID1, S. Forrest. PLoS Computational Biology 17:12 (2021).
• Distributed adaptive search in t cells: Lessons from ants M. E. Moses, J. L. Cannon, D. M. Gordon, and S. Forrest. Frontiers Immunology 10:1357, 2019.
• A spatial model of the efficiency of Tcell search in the influenza-infected lung D. Levin, S. Forrest, S. Banerjee, C. Clay, J. Cannon, M. Moses, and F. Koster J. Theoretical Biology 398:52–63 (2016). doi 10.1016/j.jtbi.2016.02.022
• Higher replication efficiency of 2009 (H1N1) pandemic influenza than seasonal and avian Strains: Kinetics from epithelial cell culture and computational modeling H. Mitchell, D. Levin, S. Forrest, C. Beauchemin, J. Tipper, J. Knight, N. Donart, C. Layton, J. Pyles, P. Gao, K. Harrod, A. Perelson, and F. Koster Journal of Virology 85:2 pp. 1125–1135 (2011). 10.1128/JVI.01722-10
• The value of inflammatory signals in adaptive immune responses S. Banerjee, D. Levin, M. Moses, F. Koster, and S. Forrest. In P. Li, G. Nicosia, and T. Stibor, eds., Intl. Conf. on Artificial Immune Systems (ICARIS) (2011)
• Computer Immunology S. Forrest and C. Beauchemin. Immunological Reviews 216 (1), 176.197, 2007.
• Modeling Influenza Viral Dynamics in Tissue C. Beauchemin, S. Forrest, and F. Koster. The 5th International Conference on Artificial Immune Systems (ICARIS), Volume 4163/2006, 2006
• The Effects of Thymic Selection on the Range of T Cell Cross-reactivity D. L. Chao, M. P. Davenport, S. Forrest, and A.S. Perelson. European Journal of Immunololgy, Vol 35, pp. 3452-3459 (2005)
• Modeling Intercellular Interactions in Early Mycobaterium Infection C. Warrender, S. Forrest, and F. Koster. Bulletin of Mathematical Biology. 68:8, pp. 2233-61 (2006)
• Homeostasis of Peripheral Immune Effectors (preprint) C. Warrender, S. Forrest, and L.Segel. Bulletin of Mathematical Biology, Vol 66:6, pp. 1493-1514 (2004)
• A Stochastic Model of Cytotoxic T Cell Responses D. L. Chao, M. P. Davenport, S. Forrest, and A. S. Perelson. Journal of Theoretical Biology, Vol 228:2, pp. 227-240 (2004)
• Modelling the Impact of Antigen Kinetics on T-cell Activation and Response D. L. Chao, M. P. Davenport, S. Forrest, and A. S. Perelson. Immunology and Cell Biology, Vol 82:1, pp. 55-61 (2004)
• Stochastic Stage-structured Modeling of the Adaptive Immune System (preprint) D. L. Chao, M. P. Davenport, S. Forrest , and A. S. Perelson. Proceedings of the IEEE Computer Society Bioinformatics Conference (CSB 2003), pp 124-131. IEEE Press, Los Alamitos, California, (2003)
• Engineering an Immune System (preprint) S. Forrest and S. Hofmeyr. Graft Vol. 4:5 pp. 5-9 (2001)
• Effective Feedback in the Immune System C. Warrender, S. Forrest and L. Legal. In Genetic and Evolutionary Computation Conference Workship Program, Morgan Kaufman, pp. 329 - 332 (2001)
• Immunology as information processing S. Forrest and S.A. Hofmeyr. In Design Principles for the Immune System and Other Distributed Autonomous Systems, edited by L.A. Segel and I. Cohen. Santa Fe Institute Studies in the Sciences of Complexity. New York: Oxford University Press (2001)
• Immunity by Design: An Artificial Immune System S. Hofmeyr and S. Forrest. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), Morgan-Kaufmann, San Francisco, CA, pp. 1289-1296 (1999). Abstract
• How the Immune System Generates Diversity: Pathogen Space Coverage with Random and Evolved Antibody Libraries M. Oprea and S. Forrest. 1999 Genetic and Evolutionary Computation Conference (GECCO) July 1999. Abstract
• Variable Efficacy of Repeated Annual Influenza Vaccination D.J. Smith, S. Forrest and D.H. Ackley, and A.S.Perelson . Proceedings of the National Academy of Sciences 96:14001-14006 (1999). Abstract
• Using Lazy Evaluation to Simulate Realistic-Size Repertoires in Models of the Immune System D.J. Smith, S. Forrest and D.H. Ackley, and A.S.Perelson. Bulletin of Mathematical Biology Vol. 60, pp. 647-658 (1998)* Abstract
• Modeling the effect of prior infection on vaccine efficacy D.J. Smith, S. Forrest and D.H. Ackley, and A.S.Perelson. In Artificial Immune systems and their Applications, Springer-Verlag, Berlin Germany (1998). Also presented at the 1997 IEEE International conference On Systems, man, and cybernetics. October, 1997. Abstract
• Deriving Shape-Space Parameters from Immunological Data for a Model of Cross-Reactive Memory D.J. Smith, S. Forrest, R.R. Hightower, and A.S. Perelson . Journal of Theoretical Biology Vol.189, pp.141-150 (1997). Abstract
• Evolution (and Learning) of V-Region Genes A. Perelson, R. Hightower, and S. Forrest. Research in Immunology Vol. 147, pp. 202-208 (1996). Abstract
• The Evolution of Emergent Organization in Immune System Gene Libraries R. Hightower, S. Forrest, and A.S. Perelson. In L.J. Eshelman (Ed.) Proc. of the Sixth Int. Conf. on Genetic Algorithms (1995)
• The Baldwin Effect in the Immune System: Learning by Somatic Hypermutation R. Hightower, S. Forrest, and A.S. Perelson. In R.K. Belew and M. Mitchell, (eds.), Adaptive Individuals in Evolving Populations, Addison-Wesley ,Reading, MA, pp. 159-167 (1996)

Other Publications