Methods in the Virtual Wetlab I: rule-based reasoning driven by nearest-neighbor lattice dynamics.
We describe a discrete dynamical systems approach to exploring the hypothesis-trees associated with wetlab experiments. On-going applications of the method to experimental research using a genetically engineered mouse animal model with severe combined immune deficiency (SCID) in the area of HIV infection are outlined as an example. In conclusion, we survey how this method can be used to engineer an informational murine, called Cybermouse [Mus Cyberspacea], that can be experimented upon using current immersion technologies.
Sieburg
H B
HB
Laboratory for Biological Informatics & Theoretical Medicine, University of California, San Diego, La Jolla 92093-0603.
D000818:Animals; D001185:Artificial Intelligence; D003198:Computer Simulation; D004195:Disease Models, Animal; D005818:Genetic Engineering; D015658:HIV Infections / Q000821:virology; D006801:Humans; D007256:Information Systems; D008264:Macrophages / Q000276:immunology / Q000821:virology; D051379:Mice; D016513:Mice, SCID; D011381:Programming Languages; D012984:Software