12results about How to "Short screening cycle" patented technology

This invention discloses an AI-assisted rapid screening system for immortalized cell lines, belonging to the technical field of immortalized cell screening systems. It includes a fully automated experimental execution module connected to a controller for overall system control. The controller has a built-in AI-based rapid screening evaluation system, which comprises a multimodal time-series data acquisition module, an immortalization potential assessment module, a phenotypic fidelity assessment module, a confidence assessment module, and a rapid screening decision module. The multimodal time-series data acquisition module includes a data preprocessing unit, whose input terminals are connected to a cell morphology time-series image set module, a metabolomics time-series data acquisition module, and a transcriptomics time-series data acquisition module. This AI-assisted rapid screening system for immortalized cell lines can meet the practical needs of the animal husbandry and veterinary fields for efficient, accurate, and high-fidelity screening of immortalized cell lines.

The application relates to the technical field of microbial agent, and discloses a plant root growth-promoting microbial agent screening method, which comprises the following steps: firstly, collecting rhizosphere microbial group data and corresponding crop growth phenotype data under different target crops, growth stages and soil environments; then, establishing a microbe-phenotype prediction model based on the data, obtaining two groups of key growth-promoting strains through characteristic importance analysis and microbial interaction network analysis; and finally, screening a microbial agent formula with the optimal expected growth-promoting effect according to the key strains and the prediction model. The application establishes a systematic plant root growth-promoting microbial agent screening scheme, can screen out efficient and synergistic dominant strain combinations by comprehensively considering the growth-promoting effects and interaction relationships of the strains, significantly improves the pertinence and effectiveness of the plant root growth-promoting microbial agent, and has a good application prospect in the field of microbial fertilizer development.

The invention relates to a construction method and application of a spontaneous and persistent ventricular tachycardia animal model, in particular to a spontaneous and persistent ventricular tachycardia rat model based on MYL4 gene defect and myocardial infarction induction. The model is constructed by utilizing the synergistic effect of double pathological factors of MYL4 gene conserved gene defects and acquired myocardial infarction, the induction rate of the model is greater than or equal to 90%, the spontaneous duration time reaches 1-3 min, and the method is obviously superior to an existing construction method for inducing the spontaneous and continuous ventricular tachycardia model. The model can simulate the pathophysiological process of ventricular tachycardia after human MYL4 gene related cardiovascular diseases combined with myocardial infarction, provides general technical support for ventricular arrhythmia pathogenesis research, drug screening and medical instrument research and development, and has wide scientific research and clinical transformation value.

The present application relates to a kind of tobacco raw material tar release potential grading screening method and its application, the method includes the following steps: 1) construct sample library;2) the chemical parameters and physical parameters of sample are characterized;3) the pyrolysis characteristics and combustion performance of raw material are characterized;4) screen multi-source characteristics and identify key variables;5) measure the relative tar, nicotine release amount;6) construct prediction model;7) preliminary classification and label raw material tar release potential;8) accurate screening is suitable for ultra-low tar cigarette raw material.The present application extracts the multi-source characteristics such as chemical composition, physical parameters, pyrolysis characteristics and combustion performance of tobacco raw material, obtains key variables after screening, and constructs high-precision prediction model based on the screened key characteristics, so as to realize the systematic classification and accurate screening of tobacco raw material tar release potential, and provide reliable technical support for cigarette formula optimization and development of ultra-low tar cigarette product.

The invention relates to the technical field of food science, in particular to a screening method for nuts with a memory improving function based on key component target prediction and behavior verification, which comprises the following steps: based on behavior experiment records, analyzing a mouse behavior change trend, comparing the trend with GC-MS detection component score prediction performance, screening deviation performance, and determining the content of the nuts with the memory improving function. And in combination with the target path and the signal path node category, adjusting the target evaluation group to obtain a target group regulation result. According to the method, behavior trend quantification and target function level empowerment are combined, multi-behavior data and component detection information are cooperatively processed, and trend interval characteristics and target evaluation parameters are utilized for linkage screening, so that the causal relationship between behavior changes and functional components can be dynamically reflected, and the structured quantitative expression of the action effect of the nut components is realized; the systematicness of evaluation results and the accuracy of judgment are enhanced, data results are stable and consistent, the screening period is shortened, and the scientific rationality and the application value of nut memory function screening are improved.

This invention provides a method for screening highly specific nucleic acid aptamers and specific *Lactobacillus helveticus* aptamers, belonging to the field of nucleic acid aptamers. Specifically, the method for screening highly specific nucleic acid aptamers provided by this invention includes the following steps: S1: A second library is obtained after N rounds of forward screening of a first library; S2: A third library is obtained after M rounds of reverse screening of the second library; S3: The third library is obtained after X rounds of forward screening of the third library to obtain selected random single-stranded oligonucleotides, which are then subjected to PCR amplification, purification, cloning, and sequencing; S4: The sequences cloned and sequenced in step S3 are used for affinity and specificity assays to select sequences with high affinity and specificity, thereby obtaining highly specific nucleic acid aptamers. The aptamers provided by this invention have the advantages of high specificity and strong affinity, and the construction method of the aptamers provided by this invention has the advantage of short screening time.

The invention belongs to the technical field of microbial genetic engineering, and discloses a method for detecting binding capacity of poultry interferon and interferon receptor in plants and application thereof, the method comprises the following steps: S1, respectively constructing optimized interferon gene and interferon receptor gene to the N terminal and C terminal of a plant expression vector to obtain a plant expression vector; obtaining a recombinant expression vector; s2, respectively transforming the recombinant expression vectors into agrobacterium host bacteria to obtain genetically engineered bacteria; s3, injecting the genetically engineered bacterium into tobacco, and culturing the tobacco injected with the bacterium liquid, so that the interferon and the interferon receptor are expressed in the tobacco; and S4, capturing a fluorescence signal by using a CCD imaging system, analyzing the fluorescence intensity of a specific region by using image analysis software, and detecting the interaction strength relationship between the interferon protein to be detected and the interferon receptor protein through the fluorescence intensity. The method is convenient to operate, the detection result is visual, the workload can be greatly reduced, and the detection efficiency is improved.

The invention relates to the technical field of plant molecular biology, in particular to an SNP (Single Nucleotide Polymorphism) molecular marker related to single-petal single-pistil or double-petal multi-pistil traits of plum blossom and application. The SNP molecular marker is closely linked with the characters of the petal number and the pistil number of the plum blossom at the same time, the single-petal single-pistil character and the double-petal multi-pistil character of the plum blossom can be identified in the early stage through the SNP molecular marker, and the single-petal single-pistil character and the double-petal multi-pistil variety plum blossom can be rapidly, accurately and efficiently identified in the seedling stage of the plum blossom. When being used for assisted breeding, the method can shorten the screening period of high-quality plum blossom and reduce the breeding workload, and has a wide application prospect.

A kind of inorganic solid electrolyte performance modeling method using graph theory and machine learning.The method abstracts atoms in inorganic solid electrolyte material into a crystal network graph composed of nodes and edges, after feature embedding, multi-layer convolution is carried out using crystal graph convolutional neural network, and the local chemical environment feature vector of atom is updated by aggregating neighborhood features;Then, through the global aggregation of the convergence layer, the feature vector representing the entire crystal structure is extracted;Finally, through the mapping of the full connection layer, the multi-dimensional performance indexes such as thermodynamics, mechanics and electrochemistry are output.The present application realizes the prediction of the structure-property relationship between material structure and macroscopic performance by precisely depicting the local environment of atoms, thereby guiding the efficient development of new inorganic solid electrolyte materials.

The application relates to a rapid screening method for cation storage performance of MXene material, and comprises the following steps: constructing an MXene model based on a density functional theory, wherein the MXene model contains different metal elements and surface termination groups; adsorbing cations on the surface of the MXene model and calculating the adsorption energy of the cations on the surface; calculating the diffusion energy barrier of the cations by using a minimum energy path method; and screening the MXene material with the optimal cation storage performance based on the adsorption energy and the diffusion energy barrier. The MXene material with strong adsorption capacity and low diffusion energy barrier is screened by comprehensively considering the adsorption capacity and diffusion behavior, the excellent energy storage MXene material is efficiently screened, the screening period of the MXene material is significantly shortened, the experimental cost is reduced, and efficient theoretical guidance is provided for the design of high-performance cation battery / capacitor electrode materials.

This invention belongs to the field of active ingredient extraction, specifically relating to a purslane extract screened using bioaffinity ultrafiltration, its preparation method, and its applications. This invention utilizes bioaffinity ultrafiltration to rapidly capture active small molecules that specifically bind to XOD from purslane extract, significantly shortening the screening cycle for natural product XOD inhibitors. Furthermore, the screened compounds have been verified in vitro to possess XOD inhibitory activity. The method exhibits high sensitivity and good reproducibility. This invention is the first to discover and clarify Ophiogonanone A, Cimidahurinine, and Cyanidin-3- O γ-glucoside is a natural XOD inhibitor found in purslane, providing a new natural candidate molecule for drugs that lower uric acid or treat gout.

This invention discloses a DNA barcode, primers, and their applications for screening high-quality Tibetan brown mushrooms. The DNA barcode for screening high-quality Tibetan brown mushrooms comprises one or more of the 17 DNA fragments with nucleotide sequences as shown in SEQ ID NO: 1-17; the DNA barcode amplification primers for screening high-quality Tibetan brown mushrooms comprise one or more pairs of the 17 primer pairs with upstream and downstream nucleotide sequences as shown in SEQ ID NO: 18-51. Compared with traditional breeding methods and other existing DNA barcoding technologies, this invention has the advantages of being time-saving, labor-saving, cost-effective, accurate, and efficient, playing a positive role in the genetic breeding of high-quality Tibetan brown mushrooms, and also providing an effective method for the identification and protection of germplasm resources.