Computer-Aided Biophysical Modeling: A Quantitative Approach to Complex Biological Systems

Author

Milotti, E. ; Vyshemirsky, Vladislav ; Sega, Michela ; Stella, S. ; Dogo, F. ; Chignola, R.

Author_Institution

Dipt. di Fis., Univ. di Trieste, Trieste, Italy

Volume

10

Issue

3

fYear

2013

fDate

May-June 2013

Firstpage

805

Lastpage

810

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.

Keywords

biological techniques; cancer; cellular biophysics; numerical analysis; tumours; analytical modeling tools; biophysics; cell biology; complex biological systems; computer-aided biophysical modeling; numerical modeling tools; paradigmatic example; quantitative approach; tumors; Biological system modeling; Computational modeling; Extracellular; Mathematical model; Numerical models; Tumors; Biological system modeling; Computational modeling; Extracellular; Mathematical model; Numerical models; Quantitative biology; Tumors; analytical modeling tools; biological techniques; biophysics; cancer; cancer models; cell biology; cellular biophysics; complex biological systems; computer-aided biophysical modeling; numerical analysis; numerical modeling tools; paradigmatic example; quantitative approach; tumor growth; tumors; tumours;

fLanguage

English

Journal_Title

Computational Biology and Bioinformatics, IEEE/ACM Transactions on

Publisher

ieee

ISSN

1545-5963

Type

jour

DOI

10.1109/TCBB.2013.35

Filename

6517189