D. J. Smith, S. Forrest, D. H. Ackley, and A. S. Perelson. Using lazy evaluation to simulate realistic-size repertoires in models of the immune system. Bull Math Biol, 60(4):647-- 58, 1998. Home/Search Document Details and Download
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This paper is cited in the following contexts:
Stochastic Stage-structured Modeling of the Adaptive.. - Chao, Davenport.. (2003) Self-citation (Forrest Perelson) (Correct)
....parallel version of IMMSIM known as PARIMM [5] Because agent based models must be run many times to characterize the distribution of outcomes, they should be as simple and efficient as possible without sacrificing essential aspects of the immune response. Using techniques such as lazy evaluation [40] allows models to instantiate only cells that participate in an immune response, but a response in a mouse can involve on the order of 10 7 CTLs [8] which is still a large number to simulate explicitly. For computational efficiency, we have chosen to use a stochastic stage structured approach ....
D. J. Smith, S. Forrest, D. H. Ackley, and A. S. Perelson. Using lazy evaluation to simulate realistic-size repertoires in models of the immune system. Bull Math Biol, 60(4):647-- 58, 1998.
Immunology as Information Processing - Forrest, Hofmeyr (2000) (6 citations) Self-citation (Forrest) (Correct)
.... its application to the problem of vaccine design for mutating viruses [48] Smith developed a model of crossreactive memory in immunology (closely related to Kanerva s Sparse Distributed Memory [30] and applied the model to the problem of vaccine design for mutating viruses, focusing on in uenza [44, 45, 46, 49]. Smith s computational model is concerned with B cells, plasma cells, antibodies, memory B cells, and antigens. The model is individual based in the sense that each individual immune cell and antibody is represented in the computer explicitly. By contrast, many models represent each type of ....
....into a plasma or memory cell. Secreted antibody has a chance to bind antigen, and antigen antibody complexes are removed from the simulation. Details about how the model is 374 Immunology as Information Processing implemented, using a technique called lazy evaluation, are given in Smith et al. [44]. Smith used his model to study the e ect of repeated vaccination against a mutating virus [45] In uenza is an example of such a virus. Antigenic drift causes new but related strains of the virus to circulate through human populations on an annual basis. In uenza vaccines are, therefore, updated ....
Smith, D. J., S. Forrest, D. H. Ackley, and A. S. Perelson. \Using Lazy Evaluation to Simulate Realistic-Size Repertoires in Models of the Immune System." Bull. Math. Biol. 60 (1998): 647-658.
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