Molecular robotics approach for constructing an artificial cell model

Author(s):  
Shin-Ichiro Nomura ◽  
◽  
Yusuke Sato ◽  
Kei Fujiwara
2010 ◽  
Vol 98 (3) ◽  
pp. 79a
Author(s):  
Ann-Sofie Cans ◽  
Kelly L. Adams ◽  
Johan Engelbrektsson ◽  
Marina Voinova ◽  
Bo Zhang ◽  
...  

2010 ◽  
Vol 82 (3) ◽  
pp. 1020-1026 ◽  
Author(s):  
Kelly L. Adams ◽  
Johan Engelbrektsson ◽  
Marina Voinova ◽  
Bo Zhang ◽  
Daniel J. Eves ◽  
...  

2005 ◽  
Vol 45 (supplement) ◽  
pp. S264
Author(s):  
K. Sato ◽  
K. Ishikawa ◽  
K. Obinata ◽  
Yu Wei ◽  
M. Wakabayashi ◽  
...  

Lab on a Chip ◽  
2017 ◽  
Vol 17 (18) ◽  
pp. 3112-3119 ◽  
Author(s):  
N. Nuti ◽  
P. E. Verboket ◽  
P. S. Dittrich

We present a droplet-based microfluidic device for the generation of Multivesicular droplets (MVDs). This novel system serves as a platform to study the compartmentalisation of cells and as a scaffold for the construction of artificial cell/protocell models.


Author(s):  
Enrique Fernández-Blanco ◽  
Jose A. Serantes ◽  
Nieves Pedreira ◽  
Julián Dorado

The main features of a new theoretical model inside the knowledge area called Artificial Embryogeny are described in this paper. Artificial Embryogeny is a term that identifies any model that uses embryological cells or embryological processes as inspiration. This chapter details the theoretical model and it also presents some its apllication to information processing problems. Specifically, this model was applied to solve classical problems such as pattern classification and pattern recognition problems. The Iris classification problem is the selected information processing problems presented in this paper. It must be remarked that a similar application was never been done with an artificial embryogeny model.


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