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 …
P Mehrotra - Journal of oral biology and craniofacial research, 2016 - Elsevier
The various types of biosensors such as enzyme-based, tissue-based, immunosensors, DNA biosensors, thermal and piezoelectric biosensors have been deliberated here to …
The itinerary followed by Pseudomonas putida from being a soil-dweller and plant colonizer bacterium to become a flexible and engineer-able platform for metabolic engineering stems …
The optimization of engineered metabolic pathways requires careful control over the levels and timing of metabolic enzyme expression,,,. Optogenetic tools are ideal for achieving such …
Engineering cell metabolism for bioproduction not only consumes building blocks and energy molecules (eg, ATP) but also triggers energetic inefficiency inside the cell. The …
Recent developments in synthetic biology, combined with continued progress in systems biology and metabolic engineering, have enabled the engineering of microorganisms to …
In recent years, an increasing number of nanomaterials have been explored for their applications in biomedical diagnostics, making their applications in healthcare biosensing a …
Z Wu, H Zhang, J Yan, Y Wei, J Su - Theranostics, 2023 - ncbi.nlm.nih.gov
Currently, biological membrane-derived nanoparticles (NPs) have shown enormous potential as drug delivery vehicles due to their outstanding biomimetic properties. To make …
We describe a computationally designed enzyme, formolase (FLS), which catalyzes the carboligation of three one-carbon formaldehyde molecules into one three-carbon …