title: Understanding biological complexity: lessons from the past.
abstract: Advances in molecular biology now permit complex biological systems to be tracked at an exquisite level of detail. The information flow is so great, however, that using intuition alone to draw connections is unrealistic. Thus, the need to integrate mathematical biology with experimental biology is greater than ever. To achieve this integration, obstacles that have traditionally prevented effective communication between theoreticians and experimentalists must be overcome, so that experimentalists learn the language of mathematics and dynamical modeling and theorists learn the language of biology. Fifty years ago Alan Hodgkin and Andrew Huxley published their quantitative model of the nerve action potential; in the same year, Alan Turing published his work on pattern formation in activator-inhibitor systems. These classic studies illustrate two ends of the spectrum in mathematical biology: the detailed model approach and the minimal model approach. When combined, they are highly synergistic in analyzing the mechanisms underlying the behavior of complex biological systems. Their effective integration will be essential for unraveling the physical basis of the mysteries of life.
authors.affiliation: The UCLA Cardiovascular Research Laboratory, and Department of Medicine (Cardiology), UCLA School of Medicine, Los Angeles, California 90095-1760, USA. jweiss@mednet.ucla.edu
authors.forename: James N
authors.initials: JN
authors.lastname: Weiss
authors.forename: Zhilin
authors.initials: Z
authors.lastname: Qu
authors.forename: Alan
authors.initials: A
authors.lastname: Garfinkel
mesh_terms: D000818:Animals; D019521:Body Patterning; D019295:Computational Biology; D020869:Gene Expression Profiling; D008954:Models, Biological; D008962:Models, Theoretical