Data-driven rational biosynthesis design: from molecules to cell factories.

Abstract:

:A proliferation of chemical, reaction and enzyme databases, new computational methods and software tools for data-driven rational biosynthesis design have emerged in recent years. With the coming of the era of big data, particularly in the bio-medical field, data-driven rational biosynthesis design could potentially be useful to construct target-oriented chassis organisms. Engineering the complicated metabolic systems of chassis organisms to biosynthesize target molecules from inexpensive biomass is the main goal of cell factory design. The process of data-driven cell factory design could be divided into several parts: (1) target molecule selection; (2) metabolic reaction and pathway design; (3) prediction of novel enzymes based on protein domain and structure transformation of biosynthetic reactions; (4) construction of large-scale DNA for metabolic pathways; and (5) DNA assembly methods and visualization tools. The construction of a one-stop cell factory system could achieve automated design from the molecule level to the chassis level. In this article, we outline data-driven rational biosynthesis design steps and provide an overview of related tools in individual steps.

journal_name

Brief Bioinform

authors

Chen F,Yuan L,Ding S,Tian Y,Hu QN

doi

10.1093/bib/bbz065

subject

Has Abstract

pub_date

2020-07-15 00:00:00

pages

1238-1248

issue

4

eissn

1467-5463

issn

1477-4054

pii

5521648

journal_volume

21

pub_type

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