Synthetic Biology of Natural Products Engineering: Recent Advances Across the Discover−Design−Build−Test−Learn Cycle

Jonathan Foldi; Jack Connolly; Eriko Takano; Rainer Breitling

doi:10.1021/acssynbio.4c00391

Synthetic Biology of Natural Products Engineering: Recent Advances Across the Discover−Design−Build−Test−Learn Cycle

Jonathan Foldi, Jack Connolly, Eriko Takano, Rainer Breitling

Research output: Contribution to journal › Article › peer-review

Abstract

Advances in genome engineering and associated technologies have reinvigorated natural products research. Here we highlight the latest developments in the field across the discover-design-build-test-learn cycle of bioengineering, from recent progress in computational tools for AI-supported genome mining, enzyme and pathway engineering, and compound identification to novel host systems and new techniques for improving production levels, and place these trends in the context of responsible research and innovation, emphasizing the importance of anticipatory analysis at the early stages of process development.

Original language	English
Pages (from-to)	2684-2692
Number of pages	9
Journal	ACS Synthetic Biology
Volume	13
Issue number	9
Early online date	20 Aug 2024
DOIs	https://doi.org/10.1021/acssynbio.4c00391
Publication status	Published - 20 Sept 2024

Keywords

natural products
biosynthetic gene clusters
synthetic biology
genome mining
strain engineering
machine learning

Access to Document

10.1021/acssynbio.4c00391Licence: CC BY

Cite this

@article{83cc8521dd194260ad5422c723990a16,

title = "Synthetic Biology of Natural Products Engineering: Recent Advances Across the Discover−Design−Build−Test−Learn Cycle",

abstract = "Advances in genome engineering and associated technologies have reinvigorated natural products research. Here we highlight the latest developments in the field across the discover-design-build-test-learn cycle of bioengineering, from recent progress in computational tools for AI-supported genome mining, enzyme and pathway engineering, and compound identification to novel host systems and new techniques for improving production levels, and place these trends in the context of responsible research and innovation, emphasizing the importance of anticipatory analysis at the early stages of process development.",

keywords = "natural products, biosynthetic gene clusters, synthetic biology, genome mining, strain engineering, machine learning",

author = "Jonathan Foldi and Jack Connolly and Eriko Takano and Rainer Breitling",

year = "2024",

month = sep,

day = "20",

doi = "10.1021/acssynbio.4c00391",

language = "English",

volume = "13",

pages = "2684--2692",

journal = "ACS Synthetic Biology",

issn = "2161-5063",

publisher = "American Chemical Society",

number = "9",

}

TY - JOUR

T1 - Synthetic Biology of Natural Products Engineering: Recent Advances Across the Discover−Design−Build−Test−Learn Cycle

AU - Foldi, Jonathan

AU - Connolly, Jack

AU - Takano, Eriko

AU - Breitling, Rainer

PY - 2024/9/20

Y1 - 2024/9/20

N2 - Advances in genome engineering and associated technologies have reinvigorated natural products research. Here we highlight the latest developments in the field across the discover-design-build-test-learn cycle of bioengineering, from recent progress in computational tools for AI-supported genome mining, enzyme and pathway engineering, and compound identification to novel host systems and new techniques for improving production levels, and place these trends in the context of responsible research and innovation, emphasizing the importance of anticipatory analysis at the early stages of process development.

AB - Advances in genome engineering and associated technologies have reinvigorated natural products research. Here we highlight the latest developments in the field across the discover-design-build-test-learn cycle of bioengineering, from recent progress in computational tools for AI-supported genome mining, enzyme and pathway engineering, and compound identification to novel host systems and new techniques for improving production levels, and place these trends in the context of responsible research and innovation, emphasizing the importance of anticipatory analysis at the early stages of process development.

KW - natural products

KW - biosynthetic gene clusters

KW - synthetic biology

KW - genome mining

KW - strain engineering

KW - machine learning

U2 - 10.1021/acssynbio.4c00391

DO - 10.1021/acssynbio.4c00391

M3 - Article

C2 - 39163395

SN - 2161-5063

VL - 13

SP - 2684

EP - 2692

JO - ACS Synthetic Biology

JF - ACS Synthetic Biology

IS - 9

ER -

Synthetic Biology of Natural Products Engineering: Recent Advances Across the Discover−Design−Build−Test−Learn Cycle

Abstract

Keywords

Access to Document

Fingerprint

Cite this