DocumentCode
1807626
Title
Executable Biology
Author
Fisher, Jasmin ; Henzinger, Thomas A.
Author_Institution
Sch. of Comput. & Commun. Sci., Swiss Fed. Inst. of Technol., Lausanne
fYear
2006
fDate
3-6 Dec. 2006
Firstpage
1675
Lastpage
1682
Abstract
Computational modeling of biological systems is becoming increasingly common as scientists attempt to understand biological phenomena in their full complexity. Here we distinguish between two types of biological models mathematical and computational - according to their different representations of biological phenomena and their diverse potential. We call the approach of constructing computational models of biological systems executable biology, as it focuses on the design of executable computer algorithms that mimic biological phenomena. We give an overview of the main modeling efforts in this direction, and discuss some of the new challenges that executable biology poses for computer science and biology. We argue that for executable biology to reach its full potential as a mainstream biological technique, formal and algorithmic approaches must be integrated into biological research, driving biology towards a more precise engineering discipline
Keywords
algorithm theory; biocomputing; biological phenomena; biological systems; computational modeling; executable biology; executable computer algorithms; Algorithm design and analysis; Biological system modeling; Biological systems; Biological techniques; Biology computing; Computational biology; Computational modeling; Computational systems biology; Computer science; Mathematical model;
fLanguage
English
Publisher
ieee
Conference_Titel
Simulation Conference, 2006. WSC 06. Proceedings of the Winter
Conference_Location
Monterey, CA
Print_ISBN
1-4244-0500-9
Electronic_ISBN
1-4244-0501-7
Type
conf
DOI
10.1109/WSC.2006.322942
Filename
4117800
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