The challenges of informatics in synthetic biology: from biomolecular networks to artificial organisms

被引：25

作者：

Alterovitz, Gil ^{[1
]}

Muso, Taro ^{[1
]}

Ramoni, Marco F. ^{[1
]}

机构：

[1] Harvard Univ, Sch Med, Cambridge, MA 02138 USA

来源：

BRIEFINGS IN BIOINFORMATICS | 2010年 / 11卷 / 01期

关键词：

informatics; synthetic biology; systems biology; networks; GENE-EXPRESSION DATA; CYTOSCAPE PLUG-IN; COMPUTATIONAL DESIGN; SYSTEMS BIOLOGY; MARKUP LANGUAGE; PROTEIN; CONSTRUCTION; CELLML; ROBUST; INTEGRATION;

D O I：

10.1093/bib/bbp054

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

The field of synthetic biology holds an inspiring vision for the future; it integrates computational analysis, biological data and the systems engineering paradigm in the design of new biological machines and systems. These biological machines are built from basic biomolecular components analogous to electrical devices, and the information flow among these components requires the augmentation of biological insight with the power of a formal approach to information management. Here we review the informatics challenges in synthetic biology along three dimensions: in silico, in vitro and in vivo. First, we describe state of the art of the in silico support of synthetic biology, from the specific data exchange formats, to the most popular software platforms and algorithms. Next, we cast in vitro synthetic biology in terms of information flow, and discuss genetic fidelity in DNA manipulation, development strategies of biological parts and the regulation of biomolecular networks. Finally, we explore how the engineering chassis can manipulate biological circuitries in vivo to give rise to future artificial organisms.

引用

页码：80 / 95

页数：16

共 106 条

[1] Synthesis of orthogonal transcription-translation networks [J].