Roberto Chignola and Edoardo Milotti 2005 Phys. Biol. 2 8 doi:10.1088/1478-3967/2/1/002
A phenomenological approach to the simulation of metabolism and proliferation dynamics of large tumour cell populations
Roberto Chignola1 and Edoardo Milotti2
Show affiliationsA major goal of modern computational biology is to simulate the collective behaviour of large cell populations starting from the intricate web of molecular interactions occurring at the microscopic level. In this paper we describe a simplified model of cell metabolism, growth and proliferation, suitable for inclusion in a multicell simulator, now under development (Chignola R and Milotti E 2004 Physica A 338 261–6). Nutrients regulate the proliferation dynamics of tumour cells which adapt their behaviour to respond to changes in the biochemical composition of the environment. This modelling of nutrient metabolism and cell cycle at a mesoscopic scale level leads to a continuous flow of information between the two disparate spatiotemporal scales of molecular and cellular dynamics that can be simulated with modern computers and tested experimentally.
- PACS
-
87.15.B- Structure of biomolecules
- Subjects
- Dates
-
Issue 1 (March 2005)
Received 15 September 2004, accepted for publication 13 January 2005
Published 28 February 2005
-
-
A phenomenological approach to the simulation of metabolism and proliferation dynamics of large tumour cell populations
Roberto Chignola and Edoardo Milotti 2005 Phys. Biol. 2 8
-
On the (de)focusing nature of wall impedances for hadron beams in circular accelerators and storage rings
H Schamel and A Luque 2004 New J. Phys. 6 113
-
Damping of Coronal Loop Oscillations: Calculation of Resonantly Damped Kink Oscillations of One-dimensional Nonuniform Loops
T. Van Doorsselaere et al. 2004 ApJ 606 1223
-
Warped supersymmetry breaking
C.P. Burgess et al JHEP04(2008)053
-
Driving atoms into decoherence-free states
Almut Beige et al 2000 New J. Phys. 2 22
-
Comparative analysis of rigidity across protein families
S A Wells et al 2009 Phys. Biol. 6 046005
-
Ergodic and non-ergodic anomalous diffusion in coupled stochastic processes
Golan Bel and Ilya Nemenman 2009 New J. Phys. 11 083009
-
A transition from river networks to scale-free networks
A K Nandi and S S Manna 2007 New J. Phys. 9 30
-
Control of electron spin decoherence caused by electron–nuclear spin dynamics in a quantum dot
Ren-Bao Liu et al 2007 New J. Phys. 9 226
-
Analysis of a 1 × 16 polymer microring resonant wavelength demulti/multiplexer with double seriated identical microrings in every filter element
Chun-Sheng Ma et al 2005 J. Opt. A: Pure Appl. Opt. 7 135
Users also read
What's this?- Compton scatter imaging of transverse sections: corrections for multiple scatter and attenuations
- Ab initio phenomenological simulation of the growth of large tumor cell populations
- A modelling study to inform specification and optimal electrode placement for imaging of neuronal depolarization during visual evoked responses by electrical and magnetic detection impedance tomography
Related review articles
What's this?- Nonlinear stochastic dynamics of mesoscopic homogeneous biochemical reaction systems—an analytical theory
- Molecular energy transducers of the living cell. Proton ATP synthase: a rotating molecular motor
- Generalized-ensemble molecular dynamics and Monte Carlo algorithms beyond the limit of the multicanonical algorithm