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1824results about How to "Efficient screening" patented technology

Identification and comparison of protein-protein interactions that occur in populations and identification of inhibitors of these interactors

InactiveUS6057101AEfficient screeningLess experimentally significant and specific indicationMaterial nanotechnologyFungiDiseaseBinding site
Methods are described for detecting protein-protein interactions, among two populations of proteins, each having a complexity of at least 1,000. For example, proteins are fused either to the DNA-binding domain of a transcriptional activator or to the activation domain of a transcriptional activator. Two yeast strains, of the opposite mating type and carrying one type each of the fusion proteins are mated together. Productive interactions between the two halves due to protein-protein interactions lead to the reconstitution of the transcriptional activator, which in turn leads to the activation of a reporter gene containing a binding site for the DNA-binding domain. This analysis can be carried out for two or more populations of proteins. The differences in the genes encoding the proteins involved in the protein-protein interactions are characterized, thus leading to the identification of specific protein-protein interactions, and the genes encoding the interacting proteins, relevant to a particular tissue, stage or disease. Furthermore, inhibitors that interfere with these protein-protein interactions are identified by their ability to inactivate a reporter gene. The screening for such inhibitors can be in a multiplexed format where a set of inhibitors will be screened against a library of interactors. Further, information-processing methods and systems are described. These methods and systems provide for identification of the genes coding for detected interacting proteins, for assembling a unified database of protein-protein interaction data, and for processing this unified database to obtain protein interaction domain and protein pathway information.
Owner:CURAGEN CORP

Series-wound long short-term memory recurrent neural network-based heating load prediction method

ActiveCN107239859ASolving the vanishing gradient problemFast convergenceForecastingNeural learning methodsShort durationMachine learning
The present invention discloses a series-wound long short-term memory recurrent neural network-based heating load prediction method. The method comprises the steps of constructing a sample data set based on temperature, climate and heat supply data during a given period of time, and respectively subjecting the input data and the output data of the sample data set to standardized treatment; dividing the input data into two portions, respectively inputting the two portions into two independent long short-term memory recurrent neural networks to merge the two portions of the input data, inputting the output data to a long short-term memory recurrent neural network at a next layer, and finally inputting the data into two full connection layers; training a constructed series-wound long short-term memory recurrent neural network, and optimizing the network by adopting the parameter optimization-based adaptive torque estimation algorithm; inputting to-be-predicted data into the series-wound long short-term memory recurrent neural network, calculating and obtaining a heating load prediction result. The method of the invention can effectively discriminate input data, and accelerate the learning speed. Therefore, the learning efficiency is improved and the prediction accuracy is improved.
Owner:ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID SHANDONG ELECTRIC POWER COMPANY +2

Member authentication-management method, device and system based on face identification

The invention provides a member authentication-management method, device and system based on face identification. The method comprises that an infrared camera device is used to monitor a scene within a specific area; when a consumer image is found in the monitored scene, a face image of a present consumer is extracted from the consumer image; whether there is a living body in the specific area is detected, and the face image matches and is compared with a member face image pre-stored in a data base; when it is detected that there is a living body in the specific area and a comparison result shows that the present consumer belongs to members, the present consumer is reminded of member identity information and consumption information; when it is detected that there is living body in the specific area but the comparison result shows that the present consumer does not belong to members, the present information is reminded of consumption information and member joining prompt information; and no operation is carried out when it is detected there is no living body in the specific area. The method, device and system do not influence by illumination conditions, and the consumer himself / herself can be effectively discriminated from a picture / video.
Owner:BEIJING ZHIGUANG BOYUAN SCI & TECH

NAT (Network Address Translation) flow identification method based on transmission layer flow characteristic

The invention relates to the Internet application technology field, and especially relates to an NAT (Network Address Translation) flow identification method based on a transmission layer flow characteristic in Internet application. The method comprises the following steps: acquiring a data packet which goes through an NAT device as training data; learning a classifier in the training data; sending all subsequent acquired data packets which go through the NAT device to the classifier; according to a characteristic of a data flow of the sending data packets, distinguishing an NAT flow from a non NAT flow by the classifier. The NAT flow identification method is independent of an operation system or a passive identification method of any special field, has a wide application range and is noteasy to fail. Through carrying out characteristic extraction and characteristic selection on a network flow, an optimal characteristic subset of carrying out NAT identification is effectively screened out. According to the screened optimal characteristic subset, data is divided into different clusters through a cluster algorithm, an application type of a cluster is determined by utilizing a few labeled data, and the NAT identification is realized.
Owner:四川易诚智讯科技有限公司

Micro-fluidic chip and manufacturing method thereof

The invention relates to the technical fields of biological detection, environment monitoring and clinical detection, in particular to a micro-fluidic chip and a manufacturing method thereof, which are used for overcoming the defects of large sample using amount and complex operating steps existing in the biological detection process in the prior art. The invention provides a micro-fluidic chip and a manufacturing method thereof. The micro-fluidic chip comprises a substrate layer, a functional layer and a micro-fluidic pipeline layer, wherein the functional layer is fixed on the substrate layer, and comprises at least two parallel functional strips; the functional strips are strip-shaped bands formed by a material which can react with a specific material; the micro-fluidic pipeline layer is provided with at least two pipelines; the pipelines are communicated with at least one functional strip; and the two ends of each pipeline are provided with through holes which are communicated with the atmospheric air. According to the micro-fluidic chip provided by the invention, various different substances in a plurality of samples can be detected simultaneously. A detection method provided by the invention has the advantages of easiness for operating, small reagent using amount, saving in time, high efficiency and accuracy.
Owner:BEIJING JINZHIJIE BIOTECH
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