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Artificial Life

The Perfect C. ELEGANS Project: An Initial Report

Hiroaki Kitano

Sony Computer Science Laboratory 3-14-13 Higashi-Gotanda, Shinagawa Tokyo 141 Japan Kitano Symbiotic Systems Project ERATO, JST, Tokyo, Japan

Shugo Hamahashi

Dept. of Electrical Engineering Keio University Yokohama, Japan Systems Biology Group, Kitano Symbiotic Systems Project ERATO, JST, Tokyo, Japan

Sean Luke

Dept. of Computer Science University of Maryland College Park, MD 20742

PDF (161.674 KB) | PDF Plus (209.538 KB)

The soil nematode Caenorhabditis Elegans (C. elegans) is the most investigated of all multicellular organisms. Since the proposal to use it as a model organism, a series of research projects have been undertaken, investigating various aspects of this organism. As a result, the complete cell lineage, neural circuitry, and various genes and their functions have been identified. The complete C. elegans DNA sequencing and gene expression mapping for each cell at different times during embryogenesis will be identified in a few years. Given the abundance of collected data, we believe that the time is ripe to introduce synthetic models of C. elegans to further enhance our understanding of the underlying principles of its development and behavior. For this reason, we have started the Perfect C. elegans Project, which aims to produce ultimately a complete synthetic model of C. elegans' cellular structure and function. This article describes the goal, the approach, and the initial results of the project.

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Alexey Petrushin, Lorenzo Ferrara, Axel Blau. (2016) The Si elegans project at the interface of experimental and computational Caenorhabditis elegans neurobiology and behavior. Journal of Neural Engineering 13:6065001.
Online publication date: 14-Oct-2016.
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Andrew Fraser, Ben Lehner. 2013. Systems Biology of Caenorhabditis elegans. Handbook of Systems Biology367-390.
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Nicholas Geard , Janet Wiles . (2005) A Gene Network Model for Developing Cell Lineages. Artificial Life 11:3249-267.
Online publication date: 11-Mar-2006.
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Sanjeev Kumar, Peter J. Bentley. 2003. An introduction to computational development. On Growth, Form and Computers1-43.
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Kurt W. Fleischer. 2003. How synthetic biology provides insights into contact-mediated lateral inhibition and other mechanisms. On Growth, Form and Computers220-235.
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Hiroaki Kitano. (2000) Perspectives on systems biology. New Generation Computing 18:3199-216.
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