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Interactively Illustrating Polymerization using Three-level Model Fusion

I. Kolesar, J. Parulek, I. Viola, S. Bruckner, A. Stavrum, and H. Hauser

Abstract

Research in cell biology is steadily contributing new knowledge about many aspects of physiological processes, both with respect to the involved molecular structures as well as their related function. Illustrations of the spatio-temporal development of such processes are not only used in biomedical education, but also can serve scientists as an additional platform for in-silico experiments. Results In this paper, we contribute a new, three-level modeling approach to illustrate physiological processes from the class of polymerization at different time scales. We integrate physical and empirical modeling, according to which approach best suits the different involved levels of detail, and we additionally enable a form of interactive steering, while the process is illustrated. We demonstrate the suitability of our approach in the context of several polymerization processes and report from a first evaluation with domain experts. Conclusion We conclude that our approach provides a new, hybrid modeling approach for illustrating the process of emergence in physiology, embedded in a densely filled environment. Our approach of a complementary fusion of three systems combines the strong points from the different modeling approaches and is capable to bridge different spatial and temporal scales.

I. Kolesar, J. Parulek, I. Viola, S. Bruckner, A. Stavrum, and H. Hauser, "Interactively Illustrating Polymerization using Three-level Model Fusion," BMC Bioinformatics, vol. 15, p. 345, 2014. doi:10.1186/1471-2105-15-345
[BibTeX]

Research in cell biology is steadily contributing new knowledge about many aspects of physiological processes, both with respect to the involved molecular structures as well as their related function. Illustrations of the spatio-temporal development of such processes are not only used in biomedical education, but also can serve scientists as an additional platform for in-silico experiments. Results In this paper, we contribute a new, three-level modeling approach to illustrate physiological processes from the class of polymerization at different time scales. We integrate physical and empirical modeling, according to which approach best suits the different involved levels of detail, and we additionally enable a form of interactive steering, while the process is illustrated. We demonstrate the suitability of our approach in the context of several polymerization processes and report from a first evaluation with domain experts. Conclusion We conclude that our approach provides a new, hybrid modeling approach for illustrating the process of emergence in physiology, embedded in a densely filled environment. Our approach of a complementary fusion of three systems combines the strong points from the different modeling approaches and is capable to bridge different spatial and temporal scales.
@ARTICLE {Kolesar-2014-IIP,
author = "Ivan Kolesar and Julius Parulek and Ivan Viola and Stefan Bruckner and Anne-Kristin Stavrum and Helwig Hauser",
title = "Interactively Illustrating Polymerization using Three-level Model Fusion",
journal = "BMC Bioinformatics",
year = "2014",
volume = "15",
pages = "345",
month = "oct",
abstract = "Research in cell biology is steadily contributing new knowledge about  many aspects of physiological processes, both with respect to the  involved molecular structures as well as their related function.  Illustrations of the spatio-temporal development of such processes  are not only used in biomedical education, but also can serve scientists  as an additional platform for in-silico experiments. Results In this  paper, we contribute a new, three-level modeling approach to illustrate  physiological processes from the class of polymerization at different  time scales. We integrate physical and empirical modeling, according  to which approach best suits the different involved levels of detail,  and we additionally enable a form of interactive steering, while  the process is illustrated. We demonstrate the suitability of our  approach in the context of several polymerization processes and report  from a first evaluation with domain experts. Conclusion We conclude  that our approach provides a new, hybrid modeling approach for illustrating  the process of emergence in physiology, embedded in a densely filled  environment. Our approach of a complementary fusion of three systems  combines the strong points from the different modeling approaches  and is capable to bridge different spatial and temporal scales.",
pdf = "pdfs/Kolesar-2014-IIP.pdf",
images = "images/Kolesar-2014-IIP.jpg",
thumbnails = "images/Kolesar-2014-IIP.png",
youtube = "https://www.youtube.com/watch?v=iMl5nDicmhg",
doi = "10.1186/1471-2105-15-345",
keywords = "biochemical visualization, L-system modeling, multi-agent modeling, visualization of physiology, polymerization",
owner = "bruckner",
project = "physioillustration",
timestamp = "2014.12.29",
url = "//www.ii.uib.no/vis/projects/physioillustration/research/interactive-molecular-illustration.html"
}
projectidphysioillustrationprojectid

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