Metabolic engineering aims to improve the production of economically valuable molecules
through the genetic manipulation of microbial metabolism. While the discipline is a little over …

Abstract Machine learning provides researchers a unique opportunity to make metabolic
engineering more predictable. In this review, we offer an introduction to this discipline in …

Enzymes are nature's catalysts that are designed to accelerate specific reactions up to 106
times with high selectivity. 1 The enormous potential of enzymes as catalysts for organic …

Metabolic engineers endeavor to create a bio-based manufacturing industry using microbes
to produce fuels, chemicals, and medicines. Plant natural products (PNPs) are historically …

Covering: up to 2021 Metagenomics has yielded massive amounts of sequencing data
offering a glimpse into the biosynthetic potential of the uncultivated microbial majority. While …

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Systems biology and synthetic biology are increasingly used to examine and modulate
complex biological systems. As such, many issues arising during scaling-up microbial …

In the first wave of synthetic biology, genetic elements, combined into simple circuits, are
used to control individual cellular functions. In the second wave of synthetic biology, the …

Fostered by novel analytical techniques, digitalization, and automation, modern bioprocess
development provides large amounts of heterogeneous experimental data, containing …

Highlights•Application of machine learning in biotechnology is becoming essential.•Machine
learning is increasingly applied to advance systems metabolic engineering.•Machine …