Output details
11 - Computer Science and Informatics
Newcastle University
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Article title
Evolving cell models for systems and synthetic biology
Type
D - Journal article
Title of journal
Systems and Synthetic Biology
Article number
-
Volume number
4
Issue number
1
First page of article
55
ISSN of journal
1872-5333
Year of publication
2010
Number of additional authors
4
Additional information
<28> This paper, resulting from EPSRC project EP/E017215/1, introduces a new algorithm, based on P-System formalism and evolutionary algorithms, for in silico evolution of Synthetic Biology genetic regulatory networks. This state-of-the-art machine intelligence technique can, for a given target phenotype, design several genetic programs matching the desired phenotype thus given the experimentalists multiple routes for engineering biologically novel circuits. This paper substantially extend a conference version which won the Best Paper award at Bioinformatics track (GECCO-2008), and has been the top most downloaded paper for this journal since its publication until May 2013.
Interdisciplinary
-
Cross-referral requested
-
Research group
A - Biology, Neurosciences and Computing
Citation count
15
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
