Title :
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
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;
Journal_Title :
Computational Biology and Bioinformatics, IEEE/ACM Transactions on
DOI :
10.1109/TCBB.2013.35
