The imitation game: a computational chemical approach to recognizing life

Article Abstract:

An approach to the recognition of living artificial chemical system based on chemical cells as a Gedankenexperiment that exploits a cellular imitation game is proposed. The separation of physical embodiment and ability, as in the original Turning test for artificial intelligence (AI), must be preserved to develop a Gedankenexperiment version of an idealized cellular imitation game.

Author: Khlobystov, Andrei N., Cronin, Leroy, Gardner, Paul M., Siepmann, Peter, Krasnogor, Natalio, Cooper, Geoff, Whitaker, Benjamin J., Davis, Benjamin G., Marsh, Dan, Alexander, Cameron, Schroeder, Sven L.M., Robertson, Neil, Steinke, Joachim H.G.
Publisher: Nature Publishing Co.
Publication Name: Nature Biotechnology
Subject: Business
ISSN: 1087-0156
Year: 2006
Life, Origin of life, Artificial cells, Turing test

User Contributions:

Comment about this article or add new information about this topic:

CAPTCHA

Computational discovery of gene modules and regulatory networks

Article Abstract:

Research discusses an algorithm that enables finding regulatory networks of the genetic regulatory modules, which combine information on genome-wide location and expression data sets. Results demonstrate a genome-wide regulatory network in Saccharomyces cerevisiae using binding data for 106 transcription factors.

Author: Lee, Tong Ihn, Young, Richard A., Rinaldi, Nicola J., Gifford, David K., Jaakkola, Tommi S., Bar-joseph, Ziv, Gerber, Georg K., Yoo, Jane Y., Robert, Francois, Gordon, D. Benjamin, Fraenkel, Ernest
Publisher: Nature Publishing Co.
Publication Name: Nature Biotechnology
Subject: Business
ISSN: 1087-0156
Year: 2003
Analysis, Evaluation, Genetic regulation, Genomes, Genetic algorithms, Genes

User Contributions:

Comment about this article or add new information about this topic:

CAPTCHA

Ensemble modeling for analysis of cell signaling dynamics

Article Abstract:

The article discusses the application of ensemble modeling with proper experimental study for the analysis of complex cell signaling dynamics. The technique is found to be extremely efficient for explaining the characterized cellular circuits in microorganisms.

Author: Peter, Matthias, Sauer, Uwe, Stelling, Jorg, Kuepfer, Lars
Publisher: Nature Publishing Co.
Publication Name: Nature Biotechnology
Subject: Business
ISSN: 1087-0156
Year: 2007
Usage, Bayesian statistical decision theory, Bayesian analysis, Systems biology

User Contributions:

Comment about this article or add new information about this topic:

CAPTCHA


Subjects list: Research, United States, Genetic aspects, Saccharomyces
This website is not affiliated with document authors or copyright owners. This page is provided for informational purposes only. Unintentional errors are possible.