title: Systems biology of cancer: a challenging expedition for clinical and quantitative biologists.
abstract: A systems-biology approach to complex disease (such as cancer) is now complementing traditional experience-based approaches, which have typically been invasive and expensive. The rapid progress in biomedical knowledge is enabling the targeting of disease with therapies that are precise, proactive, preventive, and personalized. In this paper, we summarize and classify models of systems biology and model checking tools, which have been used to great success in computational biology and related fields. We demonstrate how these models and tools have been used to study some of the twelve biochemical pathways implicated in but not unique to pancreatic cancer, and conclude that the resulting mechanistic models will need to be further enhanced by various abstraction techniques to interpret phenomenological models of cancer progression.
authors.affiliation: Department of Computer Science, Courant Institute, New York University , New York, NY , USA.
authors.forename: Ilya
authors.initials: I
authors.lastname: Korsunsky
authors.affiliation: Department of Mathematics and Statistics, Hunter College, City University of New York , New York, NY , USA.
authors.forename: Kathleen
authors.initials: K
authors.lastname: McGovern
authors.affiliation: Department of Mathematics, Courant Institute, New York University , New York, NY , USA.
authors.forename: Tom
authors.initials: T
authors.lastname: LaGatta
authors.affiliation: Department of Computer Science, The Graduate Center, City University of New York , New York, NY , USA.
authors.forename: Loes
authors.initials: L
authors.lastname: Olde Loohuis
authors.affiliation: Department of Computer Science, The Graduate Center, City University of New York , New York, NY , USA.
authors.forename: Terri
authors.initials: T
authors.lastname: Grosso-Applewhite
authors.affiliation: Department of Mathematics and Computer Science, Lehman College, City University of New York , New York, NY , USA.
authors.forename: Nancy
authors.initials: N
authors.lastname: Griffeth
authors.affiliation: Department of Computer Science, Courant Institute, New York University , New York, NY , USA ; Department of Mathematics, Courant Institute, New York University , New York, NY , USA.
authors.forename: Bud
authors.initials: B
authors.lastname: Mishra
keywords: cancer pathway modeling; dynamical models; molecular modeling; multi-scale modeling; new algorithms