142 results about "Expression Library" patented technology

The present invention features improved in vitro RNA display libraries to allow reliable expression and selection of scFv antibody molecules from expression libraries. The scFv antibody libraries of the invention contain an optimized, shortened inter-domain linker that improves expression scFv antibody expression. The scFv antibody libraries also include short nucleic acid barcodes that allow for identification of individual library clones, libraries or subsets thereof. Primers for generating, amplifying and spectratyping the scFv antibody libraries of the invention are also provided.

The invention provides a method for making in vitro peptide expression libraries, and for the isolation of nucleotide sequences encoding peptides of interest, wherein the peptides or proteins are specifically associated with the DNA encoding them through non-covalent protein:DNA binding. The method describes ways of making the library itself, DNA molecules encoding the library and uses of the expression library.

The present invention provides a method for identifying a modulator or mediator of a biological activity, which activity includes antigenicity and or immunogenicity, said method comprising the step of:(i) producing a gene fragment expression library derived from defined nucleotide sequence fragments; and(ii) assaying the expression library for at least an amino acid sequence derived from step (i) for a biological activity wherein that activity is different from any activity the amino acid sequence may have in its native environment.

The invention provides a method for making in vitro peptide expression libraries, and for the isolation of nucleotide sequences encoding peptides of interest, wherein the peptides or proteins are specifically associated with the DNA encoding them through non-covalent protein:DNA binding. The method describes ways of making the library itself, DNA molecules encoding the library and uses of the expression library.

The present invention provides novel methods for producing nucleic acid fragment libraries that express highly diverse peptides or protein domains and, in particular, methods for producing nucleic acid fragment libraries wherein the nucleic acid fragments of the libraries are derived from two or more diverse characterized genomes.

The present invention features improved methods of in vitro RNA display to allow reliable expression and selection of scFv antibody molecules from expression libraries. The improved methods, in part, involve the use of mildly reducing conditions, which favor of scFv intra-chain disulphide bond and thus correct folding of the scFv antibody molecules. Although particularly suited to expression and selection of scFv antibody molecules, the methods of the invention are also expedient for in vitro RNA display of all classes of protein.

The invention discloses an expression sending method and an expression sending device, and belongs to the field of an internet technology. The method comprises the steps of acquiring a face image of a user when communication information is sent and received; generating a user expression of an existing mood of the user corresponding to the face image, wherein the user expression is at least one of a picture expression and a character expression; and transmitting the user expression to an opposite terminal in the process of sending and receiving communication information. According to the expression sending method provided by the invention, the problems that expression pictures in an expression library provided by a communication client cannot express the expression state of the user cannot be accurately expressed can be solved; furthermore, an effect that the communication information sent and received by the user takes the user expression of the existing mood of the user so as to accurately express the existing expression state of the user can be achieved.

The invention discloses a facial expression recognition method based on a video image sequence, and relates to the field of face recognition. The method includes the following steps of (1) identity verification, wherein an image is captured from a video, user information in the video is obtained, then identity verification is carried out by comparing the user information with a facial training sample, and a user expression library is determined; (2) expression recognition, wherein texture feature extraction is carried out on the video, a key frame produced when the degree of a user expression is maximized is obtained, an image of the key frame is compared with the expression training sample in the user expression library determined in the step (1) to achieve the aim of recognizing the expression, and ultimately a statistic result of expression recognition is output. By means of texture characteristics, the key frame obtained in the video is analyzed, the user expression library is built so that the user expression can be recognized, interference can be effectively prohibited, calculation complexity is reduced and the recognition rate is improved.

An expression library comprising a repertoire of nucleic acid sequences cloned from a non-immunized source, each nucleic acid sequence encoding at least part of a variable domain of a heavy chain derived from an immunoglobulin naturally devoid of light chains (VHH) wherein the extent of sequence variability in the library is enhanced compared to the corresponding naive expression library by introducing mutations in one or more of the complementarity determining regions (CDRs) of the nucleic acid sequences or by generating alternative combinations of CDR and framework sequences not naturally present in the naive library repertoire. Also disclosed is the use of such a library in preparing antibodies, more particularly antibody fragments.

The invention discloses a voice conversion method, a voice conversion device and a mobile terminal. The method comprises the following steps: after receiving voice information, identifying the voice information; converting the voice information into corresponding text information; and then, calling a corresponding expression symbol from an expression library in accordance with the text information, converting the text information into the corresponding expression symbol and displaying the expression symbol. The invention has the beneficial effects that a user, in a process of using the mobile terminal, can directly display the received voice information in the form of the expression symbol, so that user's emotion can be intuitively expressed and the interesting of chat can be enhanced as well. Meanwhile, the user, not affected by environmental factors, can always pay attention to important information; and correspondingly, the phenomenon that the user uses a single voice chat mode for a long time can be avoided as well, so that user experience is improved to a great extent.

The invention discloses a method and a device for acquiring expression meanings, and belongs to the technical field of communications. The method comprises the following steps of: acquiring expression data in a picture to be detected, or acquiring corresponding expression data according to expression characteristics input by a user; comparing the acquired expression data with the expression data in a micro expression library, wherein the micro expression library is pre-established and contains at least two expressions, and each expression has corresponding expression data; and if the micro expression library has matched expression data, acquiring and presenting the expressions corresponding to the matched expression data and the meanings of the expressions. The device comprises an expression data acquisition module and an expression acquisition module. The acquired expression data are compared with the pre-established micro expression library to acquire the matched expression data so as to acquire the expressions and the meanings to be acquired. The method and the device have low requirements for operation personnel, are easily popularized, do not need expensive special instruments, save the cost, and are simple, practical and effective.

The present invention concerns methods and compositions for the construction of a series of stable vectors for genomic library construction useful in Gram negative species. In certain embodiments, the vectors contain the pBBR1 replicon, capable of to stable replication in a broad range of Gram negative species. In various embodiments, the plasmid vectors may also contain bidirectional, rho-independent transcriptional terminators flanking the multiple cloning site, which allows for greater insert stability, and thus, greater genomic representation. Each vector may vary in its selection marker region, mobilization function, and promoter used to express insert sequences. These vectors are of use in the screening of highly representational genomic libraries in a broad variety of Gram negative species.

The invention discloses a robot system and method for detecting a human face and recognizing emotion. The system comprises a human face expression library collecting module, an original expression library building module, a feature library rebuilding module, a field expression feature extracting module and an expression recognizing module. The human face expression library collecting module is used for collecting a large number of human face expression color image frames through a video collecting device and processing the human face expression color image frames to form a human face expression library. The original expression library building module is used for extracting expression features after removing image redundant information of training images in the human face expression library to form an original expression feature library. The feature library rebuilding module is used for rebuilding the original expression feature library as a structuralized hash table through the distance hash method. The field expression feature extracting module is used for collecting field human face expression color image frames through the video collecting device and extracting field expression features. The expression recognizing module is used for recognizing the human face expression through the k neighbor sorting algorithm in the feature library in which the field expression features extracted by field expression feature extracting module are rebuilt.

The invention discloses a facial expression recognition method, which belongs to the field of image processing. The facial expression recognition method disclosed by the invention comprises the following steps of: selecting a plurality of neutral expression images of different people and a plurality of various expression pictures of the same people with the neutral expressions from an expression library, and extracting the position information vectors of N characteristic points respectively; obtaining bottom-layer expression characteristic point information vectors feij corresponding to different expression types on the basis of the vector difference of the latter and the former, and training the SVM classifiers of the various expressions on the basis of the feij; conveying the feij each SVM classifier, and calculating the distance from the feij to the hyperplane of each SVM classifier to form an expression characteristic library; extracting the position information vectors of N characteristic points from the neutral expression images of the people to be recognized and the images input in real time and to be recognized, calculating the vector difference of the latter and the former, and conveying the vector differences in each SVM classifier to carry out characteristic conversion processing, so as to obtain a characteristic vector; taking the characteristic vector and a characteristic vector corresponding to an Euclidean distance in the expression characteristic library as the recognized expression. The facial expression recognition method disclosed by the invention is capable of improving the accuracy and real-time performance of recognition.

A process for screening an expression library to identify clones expressing enzymes having a desired activity is provided. The process involves first generating from genomic DNA samples of one or more microorganisms an expression library comprising a plurality of recombinant cell clones, and then introducing into capillaries in a capillary array a substrate and at least a subset of the clones, either individually or as a mixture. Interaction of the substrate and a clone expressing an enzyme having the desired activity produces an optically detectable signal, which can then be spatially detected to identify capillaries containing clones producing such a signal. The signal-producing clones can then be recovered from the identified capillaries.

The invention belongs to the technical field of computers, and specifically relates to a method of extracting information from multimedia files, and terminal equipment. The method of extracting information from multimedia files includes the steps: acquiring multimedia files to be processed, and separating the video information and the audio information from the multimedia files; extracting the human voice information from the audio information, and converting the human voice information into the text information; extracting the face image from the video information, and acquiring the characteristic vector of the face image; inputting the characteristic vector of the face image into a preset expression classifier so as to determine the expression information corresponding to the characteristic vector of the face image, wherein the expression classifier is obtained by using a machine learning algorithm to train the face expression samples in a specified face expression library; and adding the expression information into the text information, and according to the expression information, determining and identifying the key content of the text information, thus greatly saving the time acquisition time of users.

The invention relates to a facial expression image recognition method based on an expert system. According to the method, inference and recognition of the facial expression of a preprocessed image are carried out through the expert system established on the basis of an expression image processing method and the function of a traditional computer program. The method comprises the following steps: (1) capturing an image in a video, acquiring user information in the video, then carrying out identity verification through image processing and image characteristic extraction, acquiring characteristic parameters of the expression image of a user, determining a user expression library, and establishing the expert system for facial expression recognition; (2) carrying out imaging processing and image characteristic extraction on the image captured in the video, acquiring the characteristic parameters generated when the degree of the expression of the user is maximized, comparing the characteristic parameters with parameters, determined in the step (1), of image training samples in the user expression library, and finally outputting the statistical result of facial expression recognition through an inference engine of the expert system. Compared with the prior art, the method has the advantages of being high in recognition speed and the like.

The invention discloses a video privacy protection method based on expression fusion. The method comprises the steps of detecting a human face in real time in video live broadcast and recognizing a facial expression; and fusing with a face image with the same expression in an expression library, which performs privacy protection on the human face, and guarantees that the facial expression does not change. According to the video privacy protection method based on the expression fusion provided by the invention, under the condition of guaranteeing that the expression is invariable, by fusing with the human face image with the same expression in the expression library, the privacy information of the human face can be protected and an original expression of the human face can be remained, so that the integrity of original human face information is improved on the premise of privacy protection. Different from a previous method of directly fusing the whole human face, the video privacy protection method based on the expression fusion provided by the invention fuses the expressions in the human face though the expression library, so that information can be protected under the condition that the human face expression is invariable.

The present invention provides a method for the screening of nucleic acid fragment expression libraries and selecting encoded peptides based upon their ability to modulate the activity of a target protein or nucleic acid and assume conserved conformations compatible with albeit not reiterative of the target protein or nucleic acid. The present invention also provides methods for the diagnosis and treatment of ischemia. The present invention also provides c-Jun dimerization inhibitory peptides and analogues thereof that are useful for treatment of ischemia.

The present invention relates to a facial expression robot multi-channel information emotion expression mapping method comprising the steps of: pre-building an expression library, an input speech reference model, an output speech reference model and a speech output library; acquiring a to-be-identified face image, identifying emotional expressions by comparing with the expression library, acquiring a speech input, identifying voice expressions by comparing with the input speech reference model, fusing the emotional expressions and the voice expressions to obtain a composite expression instruction, and according to the composite expression instruction and by comparing with the output speech reference module, selecting corresponding speech data for output by the facial expression robot; and correspondingly setting a macro action instruction for the composite expression instruction, and performing facial expression by the facial expression robot according to the macro action instruction, thereby realizing multi-channel information emotional expression by the expression robot. By adopting the method, visual expression analysis, speech signal processing and expression robot action coordination are integrally fused to reflect visual expressions and speech emotions, so that the method has relatively high intelligence.

The invention discloses a chat picture control method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining chat information of a current display interface, the chat information comprising one or more of text information, picture information or voice information; identifying a first keyword of the chat information, and matching reply information and a target expression picture mapped by the reply information from a preset database; and when it is detected that an input cursor exists in the chat input box, popping up a target expression picture for auser to select so as to reply the chat information. In the whole process, the picture does not need to be manually searched in the expression library, and the picture capable of being used as the reply is automatically popped up according to content recognition, so that the message reply picture searching time is saved. Chat reply becomes more convenient and faster.

The present invention provides methods and compositions for rapid high capacity functional screening to identify optimal pre-trans-splicing molecules (PTMs). The compositions of the invention include PTM expression libraries capable of encoding candidate PTMs designed to interact with a target precursor messenger RNA molecule (target pre-mRNA) and mediate a trans-splicing reaction resulting in the generation of a novel chimeric RNA molecule (chimeric RNA). The candidate PTMs of the invention encode a portion of a first reporter molecule and may encode one or more other reporter molecules, which can be used to select for cells expressing optimal PTMs (efficient and specific). The compositions of the invention also include cells that express a target pre-mRNA encoding the remaining portion of the first reporter molecule. The screening methods of the invention encompass (i) contacting a PTM expression library with cells expressing a target pre-mRNA under conditions in which a trans-splicing reaction will occur in the presence of an optimal PTM (expressed by the library vector) resulting in the formation of a chimeric repaired RNA molecule capable of encoding at least one reporter molecule; (ii) selecting for cells expressing the repaired reporter molecule wherein expression of the reporter molecule indicates the presence of an optimal PTM in the selected cell; and (iii) identifying the optimal PTM expressed in the selected cell(s). The additional reporter molecule(s) can be used to assess both specific and non-specific trans-splicing, as well direct PTM expression.

The invention discloses an expression image recommending method and device, terminal and storage medium and belongs to the technical field of terminals. The method includes: photographing a facial expression image of a current user; recognizing expression of the facial expression image to determine emotion expressed by the facial expression image; selecting expression images corresponding to the emotion expressed by the facial expression image from an expression library; recommending on the basis of the selected expression images. By recognizing the expression of the facial expression image ofthe current user, selecting the corresponding expression images according to the emotion expressed by the facial expression image and recommending them to the current user, the current user is enabled to directly select an expression image that he or she likes from the recommended expression images, and the current user does not need to browse massive expression images in the expression library for selection, so that time consumed for selecting the expression images is reduced, and efficiency of selecting the expression images is improved.

The present invention provides a method for identifying a modulator or mediator of a biological activity, which activity includes antigenicity and or immunogenicity, said method comprising the step of: (i) producing a gene fragment expression library derived from defined nucleotide sequence fragments; and (ii) assaying the expression library for at least an amino acid sequence derived from step (i) for a biological activity wherein that activity is different from any activity the amino acid sequence may have in its native environment.

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.

Viral replicon selected nucleic acid expression libraries are useful for analyzing multiple antigens associated with a parasite, pathogen or neoplasia or for preparing immunogenic compositions for generating immune responses specific for the parasite, pathogen or neoplasia. Alphavirus replicon particles representative of the nucleic acid expression library are preferred. The nucleic acid library can be a random library, or it can be prepared after a selection step, for example, by differential hybridization prior to cloning into the replicon vector.

The present invention relates to a method for identification and isolation of binding molecules having a selective affinity for a ligand. More specifically, this invention provides a process for the ultra high throughput screening of binding molecules from expression libraries containing billions of independent clones without the biases and limitations of other high throughput screening methods such as panning. Additionally, the present invention provides a method for the production of expression libraries essentially free of clones encoding non-functional molecules.

The development of general approaches for the isolation of efficient antivirals is becoming increasingly important. The genetic suppressor element (GSE) technology is an approach based on the functional expression and selection of efficient genetic inhibitors from random fragment libraries derived from a gene or genome of interest. We have applied this technology to isolate potent genetic inhibitors against the human immunodeficiency virus type 1 (HIV-1) The strategy employed involved the following steps: 1) fragmenting the HIV-1 genome into 100-700 base pair (bp) fragments; 2) inserting the fragments into expression vectors to form an expression library; 3) transferring the expression library into a population of cells (e.g., OM10.1) containing an inducible latent HIV-1 provirus; 4) selecting a subpopulation of cells which contain a subset of the expression library enriched for HIV-1 GSE by monitoring the expression of a cellular (e.g., CD4) or viral (e.g., p24) marker associated with HIV infection; 5) recovering the GSE from the selected cell population. The GSEs identified clustered in seven narrowly defined regions of the HIV-1 genome and were found to be functionally active. These elements are potential candidates for the gene therapy of AIDS. The developed approaches can be applied to other viral pathogens, as well as, for the identification of cellular genes supporting the HIV-1 life cycle.

The present invention relates to a novel method for the identification and / or characterization of clones conferring a desired biological property from an expression library. The method of the invention comprises the step of analyzing for the expression of at least one (poly)peptide, such as a tag expressed as a fusion protein, together with a recombinant insert of a clone of said expression library, wherein the clones of said expression library are arranged in arrayed form. Said (poly)peptide may be fused N-terminally or C-terminally to said insert. The method of the invention further comprises the steps of contacting a ligand specifically interacting with a (poly)peptide expressed by the insert of a clone conferring said desired biological property with a first replica of said library of clones in arrayed form and analyzing said library of clones for the occurrence of an interaction, and / or carrying out a hybridization or an oligonucleotide fingerprint with a nucleic acid probe specific for the insert of a clone conferring said desired biological property with a second replica of said library of clones arranged in arrayed form and analyzing said library of clones for the occurrence of a specific hybridization. Finally, the method of the invention requires the identification of clones wherein an expression of the at least one (poly)peptide in step (a) and / or an interaction in step (b) and / or a hybridization or an oligonucleotide fingerprint in step (c) can be detected. The present invention also relates to a kit useful for carrying out the method of the invention.

The invention is suitable for the technical field of instant messaging and provides a pushing method and a pushing device of a session expression, a terminal device and a computer readable storage medium. The pushing method comprises the steps of obtaining electrodermal response data of a user of a current intelligent terminal in a session interface of the intelligent terminal; determining the current emotion type of the user based on the obtained electrodermal response data; and pushing a session expression corresponding to the determined emotion type in the session interface based on the determined emotion type so as to enable the user to select the pushed session expression as the session content. According to the pushing method of the session expression, the user is prevented from inputting characters or selecting the session expression from a large number of session expression libraries, and the convenience of using the session expression for instant messaging by the user is improved.