Biomimetic natural biomaterials for tissue engineering and regenerative medicine: new biosynthesis methods, recent advances, and emerging applications

S Liu, JM Yu, YC Gan, XZ Qiu, ZC Gao, H Wang… - Military Medical …, 2023 - Springer
Biomimetic materials have emerged as attractive and competitive alternatives for tissue
engineering (TE) and regenerative medicine. In contrast to conventional biomaterials or …

Metabolic engineering: methodologies and applications

MJ Volk, VG Tran, SI Tan, S Mishra, Z Fatma… - Chemical …, 2022 - ACS Publications
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 …

Microbial production of advanced biofuels

J Keasling, H Garcia Martin, TS Lee… - Nature Reviews …, 2021 - nature.com
Concerns over climate change have necessitated a rethinking of our transportation
infrastructure. One possible alternative to carbon-polluting fossil fuels is biofuels produced …

Machine learning-enabled retrobiosynthesis of molecules

T Yu, AG Boob, MJ Volk, X Liu, H Cui, H Zhao - Nature Catalysis, 2023 - nature.com
Retrobiosynthesis provides an effective and sustainable approach to producing functional
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

J Zhang, SD Petersen, T Radivojevic, A Ramirez… - Nature …, 2020 - nature.com
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 for metabolic engineering: A review

CE Lawson, JM Martí, T Radivojevic… - Metabolic …, 2021 - Elsevier
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 …

Machine learning applications for mass spectrometry-based metabolomics

UW Liebal, ANT Phan, M Sudhakar, K Raman… - Metabolites, 2020 - mdpi.com
The metabolome of an organism depends on environmental factors and intracellular
regulation and provides information about the physiological conditions. Metabolomics helps …

Recent advances in machine learning applications in metabolic engineering

P Patra, BR Disha, P Kundu, M Das, A Ghosh - Biotechnology Advances, 2023 - Elsevier
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 …

Machine learning applications in systems metabolic engineering

GB Kim, WJ Kim, HU Kim, SY Lee - Current opinion in biotechnology, 2020 - Elsevier
Highlights•Application of machine learning in biotechnology is becoming essential.•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 …