5 results about "Expression Library" patented technology

The present invention relates to methods for efficiently generating recombinant monoclonal antibodies derived from B cells of a non-human host which has been immunochallenged with one or more target antigens. The methods comprise the steps of identifying and isolating B cell that bind to the antigen by FACS, and recombining and enriching for thousands of cells to create a B cell library. Related products and methods, such as methods of producing expression libraries, are also disclosed.

The present application relates to the field of biotechnology and molecular detection, in particular to a plant and pathogenic bacteria interaction gene expression analysis method based on UMI tag, comprising: obtaining interaction sample total nucleic acid extract; and constructing a molecular hybridization system with host-specific chimeric blocking probes containing locked nucleic acid modification and 3' end dideoxy modification, and reverse transcription primers; through temperature rising and denaturation and temperature reduction and annealing, the blocking probes are combined with host high abundance nucleic acid to form a hybridization blocking complex, and the primers are combined with pathogenic bacteria nucleic acid; template switching oligonucleotides with unique molecular identifier sequences and reverse transcriptase are added, the host extension is blocked, and UMI is introduced into the pathogenic bacteria complementary chain, and an interaction expression library is generated; after sequencing, the pathogenic bacteria effective reads and the host invalid reads are counted, and the effective interaction signal signal-to-noise ratio is output; the present application can preferentially capture pathogenic bacteria transcripts in the high background of host RNA.

The invention relates to the field of artificial intelligence, and discloses a VEM-4D dynamic skin structure and a dynamic expression model construction method, a 4D dynamic skin structure is provided, the dynamic expression of the skin is simulated under the control of a 4D expression model and a driving module, an expression function vector is generated in the 4D expression model according to an expression instruction, excitation current is provided through the driving module, and the expression function vector is generated in the 4D expression model. A parallel electromagnet matrix arranged in an elastic soft magnetic silica gel composite material is driven to achieve two-dimensional surface telescopic deformation of the skin, a concave-convex electromagnet is driven to achieve three-dimensional concave-convex deformation of the skin, and a time-saving current beat is adopted to achieve beat wriggling of the skin. The method adopts supervised learning and reinforcement learning to obtain a mapping set and an expression library corresponding to expression function vectors and dynamic expressions, is simple in structure, low in cost and convenient for secondary development, and can be applied to the field of body-equipped robots to realize dynamic expressions of facial skins so as to solve the problem of expression personification.

This invention provides a protein engineering method combining single-point saturation mutation scanning and multi-point targeted combined mutation. The method includes: constructing a single-amino acid site saturation mutation library of the target protein, and scanning and analyzing the single-point mutations and their corresponding target characteristics to obtain the correspondence between the mutant sequence and the target characteristics; based on the correspondence between the mutant sequence and the target characteristics, selecting the amino acid sites and amino acid mutations of the dominant mutants of the target characteristics, synthesizing a multi-point targeted combined mutant gene library, further constructing a multi-point targeted combined mutant expression library, transforming it into an expression host to induce the expression of the multi-point combined mutant target protein, and screening for target protein mutants. The dominant mutants obtained by the method of this invention can cover more amino acid sites and mutation directions of the target protein, thus making the selection of modification targets more scientific and rational, and greatly improving the screening efficiency of dominant mutants.

The application relates to the field of artificial intelligence and discloses a VEM-4D dynamic skin structure and a dynamic expression model construction method, and a 4D dynamic skin structure is provided, under the control of a 4D expression model and a driving module, the dynamic expression of the skin is simulated, wherein, under the expression instruction, an expression function vector is generated in the 4D expression model, excitation currents are provided through the driving module, a parallel electromagnet matrix arranged in an elastic soft magnetic silica gel composite material is driven, two-dimensional surface stretching deformation of the skin is realized, concave-convex electromagnets are driven, three-dimensional concave-convex deformation of the skin is realized, a time-saving current beat is adopted to realize beat per minute (BPM) peristalsis of the skin, and a mapping set corresponding to the expression function vector and the dynamic expression and an expression library are obtained through supervised learning and reinforcement learning; the application has the advantages of simple structure, low cost, convenient secondary development, application in the field of embodied robots, realization of the dynamic expression of facial skin, and solution to the problem of expression personification.