title: Mechanistic modeling confronts the complexity of molecular cell biology.
abstract: Mechanistic modeling has the potential to transform how cell biologists contend with the inescapable complexity of modern biology. I am a physiologist-electrical engineer-systems biologist who has been working at the level of cell biology for the past 24 years. This perspective aims 1) to convey why we build models, 2) to enumerate the major approaches to modeling and their philosophical differences, 3) to address some recurrent concerns raised by experimentalists, and then 4) to imagine a future in which teams of experimentalists and modelers build-and subject to exhaustive experimental tests-models covering the entire spectrum from molecular cell biology to human pathophysiology. There is, in my view, no technical obstacle to this future, but it will require some plasticity in the biological research mind-set.
authors.affiliation: Integrative Bioinformatics, Inc., Mountain View, CA 94041 rphair@integrativebioinformatics.com.
authors.forename: Robert D
authors.initials: RD
authors.lastname: Phair
mesh_terms: D000818:Animals; D003585:Cell Biology / Q000639:trends*; D006801:Humans; D008432:Mathematical Computing; D008954:Models, Biological; D010827:Physiology / Q000379:methods*