Biomimetic natural biomaterials for tissue engineering and regenerative medicine: new biosynthesis methods, recent advances, and emerging applications
Biomimetic materials have emerged as attractive and competitive alternatives for tissue
engineering (TE) and regenerative medicine. In contrast to conventional biomaterials or …
engineering (TE) and regenerative medicine. In contrast to conventional biomaterials or …
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 …
Combining mechanistic and machine learning models for predictive engineering and optimization of tryptophan metabolism
Through advanced mechanistic modeling and the generation of large high-quality datasets,
machine learning is becoming an integral part of understanding and engineering living …
machine learning is becoming an integral part of understanding and engineering living …
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 …
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 …
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 …
Machine learning applications in systems metabolic engineering
Highlights•Application of machine learning in biotechnology is becoming essential.•Machine
learning is increasingly applied to advance systems metabolic engineering.•Machine …
learning is increasingly applied to advance systems metabolic engineering.•Machine …
Rational flux-tuning of Halomonas bluephagenesis for co-production of bioplastic PHB and ectoine
H Ma, Y Zhao, W Huang, L Zhang, F Wu, J Ye… - Nature …, 2020 - nature.com
Ectoine, a compatible solute synthesized by many halophiles for hypersalinity resistance,
has been successfully produced by metabolically engineered Halomonas bluephagenesis …
has been successfully produced by metabolically engineered Halomonas bluephagenesis …