Membrane Computing: An Introduction
Membrane Computing: An Introduction
Genetic circuit building blocks for cellular computation, communications, and signal processing
Natural Computing: an international journal
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Structure and parameter estimation for cell systems biology models
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Catalysis by self-assembled structures in emergent reaction networks
ECAL'07 Proceedings of the 9th European conference on Advances in artificial life
CMC'10 Proceedings of the 11th international conference on Membrane computing
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VLSI research, in its continuous push toward further miniaturisation, is seeking to break through the limitations of current circuit manufacture techniques by moving towards biomimetic methodologies that rely on self-assembly, selforganisation and evodevo-like processes. On the other hand, Systems and Synthetic biology's quest to achieve ever more detailed (multi)cell models are relying more and more on concepts derived from computer science and engineering such as the use of logic gates, clocks and pulse generator analogs to describe a cell's decision making behavior. This paper is situated at the crossroad of these two enterprises. That is, a novel method of non-conventional computation based on the encapsulation of simple gene regulatory-like networks within liposomes is described. Three transcription Boolean logic gates were encapsulated and simulated within liposomes self-assembled from DMPC (dimyristoylphosphatidylcholine) amphiphiles using an implementation of Dissipative Particle Dynamics (DPD) created with the NVIDIA CUDA framework, and modified to include a simple collision chemistry in a stochastic environment. The response times of the AND, OR and NOT gates were shown to be positively effected by the encapsulation within the liposome inner volume.