Perspectives on the automatic design of regulatory systems for synthetic biology.

Abstract:

:Automatic design is based on computational modeling and optimization methods to provide prototype designs to targeted problems in an unsupervised manner. For biological circuits, we need to produce quantitative predictions of cell behavior for a given genotype as consequence of the different molecular interactions. Automatic design techniques aim at solving the inverse problem of finding the sequences of nucleotides that better fit a targeted behavior. In the post-genomic era, our molecular knowledge and modeling capabilities have allowed to start using such methodologies with success. Herein, we describe how the emergence of this new type of tools could enable novel synthetic biology applications. We highlight the essential elements to develop automatic design procedures for synthetic biology pointing out their advantages and bottlenecks. We discuss in detail the experimental difficulties to overcome in the in vivo implementation of designed networks. The use of automatic design to engineer biological networks is starting to emerge as a new technique to perform synthetic biology, which should not be neglected in the future.

journal_name

FEBS Lett

journal_title

FEBS letters

authors

Rodrigo G,Carrera J,Landrain TE,Jaramillo A

doi

10.1016/j.febslet.2012.02.031

subject

Has Abstract

pub_date

2012-07-16 00:00:00

pages

2037-42

issue

15

eissn

0014-5793

issn

1873-3468

pii

S0014-5793(12)00154-8

journal_volume

586

pub_type

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