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

被引：1

作者：

Milotti, Edoardo ^{[1
,2
]}

Vyshemirsky, Vladislav ^{[3
]}

Sega, Michela ^{[4
]}

Stella, Sabrina ^{[5
]}

Dogo, Federico ^{[5
]}

Chignola, Roberto ^{[4
]}

机构：

[1] Univ Trieste, Dipartimento Fis, I-34148 Trieste, Italy

[2] Ist Nazl Fis Nucl, Sez Trieste, I-34148 Trieste, Italy

[3] Univ Strathclyde, Dept Math & Stat, Glasgow G1 1XH, Lanark, Scotland

[4] Univ Verona, Dipartimento Biotecnol, I-37134 Verona, Italy

[5] Univ Trieste, Dipartimento Fis, I-34127 Trieste, Italy

来源：

IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS | 2013年 / 10卷 / 03期

关键词：

Quantitative biology; cancer; cancer models; tumor growth; GROWTH; CELL; DYNAMICS; PROLIFERATION; SIMULATION;

D O I：

10.1109/TCBB.2013.35

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

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.

引用

页码：805 / 810

页数：6