Computational design of digital and memory biological devices.

ABSTRACT: The use of combinatorial optimization techniques with computational design allows the development of automated methods to design biological systems. Automatic design integrates design principles in an unsupervised algorithm to sample a larger region of the biological network space, at the topology and parameter levels. The design of novel synthetic transcriptional networks with targeted behaviors will be key to understand the design principles underlying biological networks. In this work, we evolve transcriptional networks towards a targeted dynamics, by using a library of promoters and coding sequences, to design a complex biological memory device. The designed sequential transcription network implements a JK-Latch, which is fully predictable and richer than other memory devices. Furtherm

SUBMITTER: Rodrigo G 

PROVIDER: S-EPMC2553324 | biostudies-literature | 2007 Dec

REPOSITORIES: biostudies-literature