Metabolic engineering: methodologies and applications
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 …
through the genetic manipulation of microbial metabolism. While the discipline is a little over …
Microbial production of advanced biofuels
Concerns over climate change have necessitated a rethinking of our transportation
infrastructure. One possible alternative to carbon-polluting fossil fuels is biofuels produced …
infrastructure. One possible alternative to carbon-polluting fossil fuels is biofuels produced …
Machine learning-enabled retrobiosynthesis of molecules
Retrobiosynthesis provides an effective and sustainable approach to producing functional
molecules. The past few decades have witnessed a rapid expansion of biosynthetic …
molecules. The past few decades have witnessed a rapid expansion of biosynthetic …
Machine learning for metabolic engineering: A review
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 …
engineering more predictable. In this review, we offer an introduction to this discipline in …
Embracing nature's catalysts: a viewpoint on the future of biocatalysis
B Hauer - Acs Catalysis, 2020 - ACS Publications
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 …
times with high selectivity. 1 The enormous potential of enzymes as catalysts for organic …
Machine learning applications for mass spectrometry-based metabolomics
The metabolome of an organism depends on environmental factors and intracellular
regulation and provides information about the physiological conditions. Metabolomics helps …
regulation and provides information about the physiological conditions. Metabolomics helps …
Machine learning in bioprocess development: from promise to practice
Fostered by novel analytical techniques, digitalization, and automation, modern bioprocess
development provides large amounts of heterogeneous experimental data, containing …
development provides large amounts of heterogeneous experimental data, containing …
A machine learning Automated Recommendation Tool for synthetic biology
Synthetic biology allows us to bioengineer cells to synthesize novel valuable molecules
such as renewable biofuels or anticancer drugs. However, traditional synthetic biology …
such as renewable biofuels or anticancer drugs. However, traditional synthetic biology …
Big data and machine learning driven bioprocessing–recent trends and critical analysis
Given the potential of machine learning algorithms in revolutionizing the bioengineering
field, this paper examined and summarized the literature related to artificial intelligence (AI) …
field, this paper examined and summarized the literature related to artificial intelligence (AI) …
Recent advances in machine learning applications in metabolic engineering
Metabolic engineering encompasses several widely-used strategies, which currently hold a
high seat in the field of biotechnology when its potential is manifesting through a plethora of …
high seat in the field of biotechnology when its potential is manifesting through a plethora of …