Computer-aided biophysical modeling: a quantitative approach to complex biological systems

Edoardo Milotti; Vladislav Vyshemirsky; Michela Sega; Sabrina Stella; Federico Dogo; Roberto Chignola

doi:10.1109/TCBB.2013.35

Computer-aided biophysical modeling: a quantitative approach to complex biological systems

Edoardo Milotti
, Vladislav Vyshemirsky
, Michela Sega
, Sabrina Stella
, Federico Dogo
, Roberto Chignola

Mathematics And Statistics

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Abstract

When dealing with the biophysics of tumors, analytical and numerical modeling tools have long been regarded as potentially useful but practically immature tools. Further developments could not just overturn this predicament, but lead to completely new perspectives in biology. Here we give an account of our own computational tool and how we have put it to good use, and we discuss a paradigmatic example to outline a path to making cell biology more quantitative and predictive.

Original language	English
Pages (from-to)	805-810
Number of pages	6
Journal	IEEE/ACM Transactions on Computational Biology and Bioinformatics
Volume	10
Issue number	3
Early online date	17 May 2013
DOIs	https://doi.org/10.1109/TCBB.2013.35
Publication status	Published - 2013

Keywords

computer-aided
biophysical modeling
quantitative approach
complex biological systems

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10.1109/TCBB.2013.35

Cite this

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AU - Stella, Sabrina

AU - Dogo, Federico

AU - Chignola, Roberto

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KW - biophysical modeling

KW - quantitative approach

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Computer-aided biophysical modeling: a quantitative approach to complex biological systems

Abstract

Keywords

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