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Computer-Aided Biophysical Modeling: A Quantitative Approach to Complex Biological Systems
May-June 2013 (vol. 10 no. 3)
pp. 805-810
Edoardo Milotti, Dipt. di Fis., Univ. di Trieste, Trieste, Italy
Vladislav Vyshemirsky, Dept. of Math. & Stat., Univ. of Strathclyde, Glasgow, UK
Michela Sega, Dipt. di Biotecnologie, Univ. of Verona, Verona, Italy
Sabrina Stella, Dipt. di Fis., Univ. di Trieste, Trieste, Italy
Federico Dogo, Dipt. di Fis., Univ. di Trieste, Trieste, Italy
Roberto Chignola, Dipt. di Biotecnologie, Univ. of Verona, Verona, Italy
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.
Index Terms:
tumours,biological techniques,cancer,cellular biophysics,numerical analysis,cell biology,computer-aided biophysical modeling,quantitative approach,complex biological systems,biophysics,tumors,analytical modeling tools,numerical modeling tools,paradigmatic example,Tumors,Mathematical model,Numerical models,Computational modeling,Biological system modeling,Extracellular,cancer models,tumours,biological techniques,cancer,cellular biophysics,numerical analysis,cell biology,computer-aided biophysical modeling,quantitative approach,complex biological systems,biophysics,tumors,analytical modeling tools,numerical modeling tools,paradigmatic example,Tumors,Mathematical model,Numerical models,Computational modeling,Biological system modeling,Extracellular,tumor growth,Quantitative biology,cancer
Citation:
Edoardo Milotti, Vladislav Vyshemirsky, Michela Sega, Sabrina Stella, Federico Dogo, Roberto Chignola, "Computer-Aided Biophysical Modeling: A Quantitative Approach to Complex Biological Systems," IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 10, no. 3, pp. 805-810, May-June 2013, doi:10.1109/TCBB.2013.35
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