Abstract:
Provided are a recombinant microorganism including a genetic modification that increases activity of a cellulose synthase, a gene that encodes the cellulose synthase having increased activity, and a method of producing cellulose by using the recombinant microorganism.
Abstract:
An exhaust gas decomposition apparatus or system that includes a bioreactor fluorine-containing compound is decomposed by contact with the first and second fluids in the bioreactor. The first fluid is supplied through a bioreactor inlet and is exhausted through the bioreactor outlet, and moves in a first direction in the bioreactor. The first or second fluid includes a biological catalyst such as an enzyme or recombinant microbe, while the other fluid includes a fluorine-containing compound. As a result, the fluorine-compounds is efficiently biologically remediated by the biological catalyst.
Abstract:
Provided are a genus Gluconacetobacter microorganism having enhanced cellulose productivity, a method of producing cellulose using the same, and a method of producing the microorganism.
Abstract:
A microorganism capable of producing an acrylic acid (AA), wherein activities of a pathway producing AA through conversions of 3-HP to 3-HP-CoA and 3-HP-CoA to AA-CoA in the microorganisms are increased; as well as a method of producing the microorganism and a method of producing an acrylic acid by using the same.
Abstract:
A recombinant yeast cell having a decreased RGT1 protein activity and an increased ability to produce a glycolytic intermediate or a glycolytic intermediate-derived substance, compared to a parent cell; methods of producing the same; and methods of producing the glycolytic intermediate or the glycolytic intermediate-derived substance using the same.
Abstract:
A microorganism capable of producing an acrylic acid (AA), wherein activities of a pathway producing AA through conversions of 3-HP to 3-HP-CoA and 3-HP-CoA to AA-CoA in the microorganisms are increased; as well as a method of producing the microorganism and a method of producing an acrylic acid by using the same.
Abstract:
Provided are a variant of a haloacid dehalogenase superfamily protein, a polynucleotide encoding the variant, a recombinant microorganism including the variant, and a method of reducing a concentration of a fluorine-containing compound in a sample using the variant.
Abstract:
Provided is a recombinant microorganism including a genetic modification that increases a 2-haloacid dehalogenase activity, a method of preparing the recombinant microorganism, and a method of using the recombinant microorganism for reducing the concentration of fluorinated methane in a sample.
Abstract:
A microorganism capable of producing acrylic acid, comprising a genetic modification that increases activity of CoA acylating aldehyde dehydrogenase (ALDH) catalyzing conversion of 3-hydroxypropionaldehyde (3-HPA) to 3-hydroxy propionyl-CoA (3-HP-CoA) and a genetic modification that increases activity of 3-HP-CoA dehydratase catalyzing conversion of 3-HP-CoA to acrylyl-CoA in the microorganism in comparison with a cell that is not genetically engineered; as well as a method of producing the microorganism, and a method of producing acrylic acid using the same.
Abstract:
An electronic device of the present disclosure comprises: a communication unit; a memory; and a processor for: detecting a voice section in an audio signal acquired by the electronic device; identifying whether a wake-up word stored in the memory exists in a user voice included in the detected voice section; when it is identified that the wake-up word exists in the user voice, transmitting, via the communication unit, the user voice to a server for providing a voice recognition service; and when response information for the user voice is received from the server, providing a response to the user voice on the basis of the received response information, wherein the processor identifies that the wake-up word exists in the user voice, when a part of the user voice matches the wake-up word. In particular, a method for acquiring a natural language for providing a response may use an artificial intelligence model learned according to at least one of machine learning, a neural network, and a deep learning algorithm.