21 results about "High-Throughput Screening Methods" patented technology

The utility model relates to related technical field of screening technology especially, a kind of high throughput screening device of high-yield strain of wolfberry enzyme, including support plate, the upper surface of support plate is provided with screening mechanism;The high throughput screening device of high-yield strain of wolfberry enzyme, by the setting of screening mechanism, start motor when using, and the liquid needing screening is added to inlet pipe, due to the effect of rotation centrifugation, material is evenly distributed between each disc, and the strain with smaller specific gravity moves upwards along disc wall, enters filtration liquid storage interval, the contact area of material and it is increased by the design of multiple groups of disc, so that more material is rapidly classified under the action of reason, shorten separation time, improve product purity.

The invention discloses a tar absorbent performance prediction and high-throughput screening method, system and equipment and a medium. The method comprises the following steps: constructing an absorption assistant structure library and a tar component structure library; respectively sampling the two structure libraries, establishing a water phase-absorption aid-oil phase model, and carrying out sufficient molecular dynamics simulation until a data set with a specified scale is formed; pre-training the deep learning network model; selecting an actual tar component, determining a tar component descriptor, and screening out an absorption assistant subset by using a pre-trained deep learning network model; the method comprises the following steps: determining absorption aids of a plurality of representative structures in an absorption aid subset, determining absorption rates through experiments, performing fine tuning training on a model to obtain a high-throughput screening model, and predicting all structures in an absorption aid structure library to obtain the absorption aid with the highest absorption rate. The method has the advantages of high-precision prediction, low experiment cost, high expandability and the like, and is suitable for rapid research, development and screening of the absorption additive material.

This invention relates to a method for identifying and detecting urinary biomarkers of whole-grain wheat intake. These biomarkers include glycine conjugates of 3,5-dihydroxybenzoic acid, sulfate conjugates of o-aminophenol, sulfate conjugates of 2-acetaminophen, sulfate conjugates of 3,5-dihydroxyphenylvaleric acid, glucuronic acid conjugates of o-aminophenol, or glucuronic acid conjugates of 2-acetaminophen. The invention also relates to a high-throughput screening method for urinary biomarkers of whole-grain wheat intake. A whole-grain wheat dietary intervention experiment was designed, and through comparative analysis of human urinary metabolic profiles, non-targeted metabolomics technology was used to screen for urinary metabolic biomarkers of whole-grain wheat, providing a method for accurately assessing whole-grain wheat intake.

The application discloses a design method and system of a two-dimensional material loaded metal monatomic catalyst, comprising the following steps: firstly, generating a substrate structure by using a random strategy, a space group and graph theory; then, removing and optimizing the substrate structure according to atomic environment and lattice constant comparison; then, confirming a stable substrate structure by using a density functional perturbation theory method and ab initio molecular dynamics calculation; then, loading a monatomic transition metal on the substrate to obtain a monatomic catalyst model, and constructing a catalyst attribute database by using first principle calculation; finally, designing a monatomic catalyst by machine learning and database interpretation analysis. The application can quickly obtain a target two-dimensional material loaded metal monatomic catalyst by combining high-throughput screening method, first principle calculation and machine learning.

This invention discloses a high-throughput screening method based on cytokinesis for bidirectional recognition of TCR and pMHC. The method involves displaying both pMHC and TCR on the cell membrane, with the TCR simultaneously fused with the MS2 phage capsid protein for capturing barcode and MS2 RNA. The two cell types are co-cultured, and cytokinesis-mediated membrane transfer occurs between cells exhibiting bidirectional TCR and pMHC recognition. Cells displaying pMHC are isolated and collected for single-cell transcriptome sequencing analysis. The sequencing results are grouped according to different pMHCs, and the corresponding TCR is determined using the barcode sequence, thus identifying the TCR that specifically recognizes pMHC bidirectionally. This high-throughput screening method based on cytokinesis for bidirectional specific recognition of TCR and pMHC overcomes, to some extent, the limitations of existing technologies in terms of screening throughput, physiological relevance, and bidirectional matching ability.

The application discloses a high-throughput screening method of phenylethanolamine-N-methyltransferase. Substrate norepinephrine and S-adenosyl methionine, PBS buffer, S-adenosyl-L-homocysteine hydrolase SAHH are added in a 96-well plate of a microplate reader, enzyme sample phenylethanolamine-N-methyltransferase is added, in a microplate shaking reactor, 20-50 DEG C, 500-1000 rpm, reaction for 1-3 h, 4 DEG C, 3700 rpm centrifugation, the supernatant is taken, compound NDCC is added again, reaction for 0-90 min, during the reaction, the microplate is taken out every 1-30 min, and the microplate reader is used to detect the absorbance value; according to the absorbance value change, the enzyme activity is defined as the change of OD405nm absorbance value per minute * 1000000 under specific conditions. The application has the characteristics of simple operation, low cost and accurate detection, and has far-reaching significance for the directed evolution of phenylethanolamine-N-methyltransferase.

Methods, devices, and kits for performing rapid, highly sensitive, high throughput, accurate, and flexible detection and quantification of antigens based on highly optimized rolling circle amplification are provided. The methods, devices, and kits can be used to detect and track an emergent virus or other pathogen, including SARS-COV-2, to test and diagnose individual patients with respect to a specific pathogen or disease, including COVID-19, and to detect and analyze cellular nucleic acids. The methods and devices also can be used to detect fragments and variants of DNA or RNA, including those present in cancer cells. The methods, devices, and kits are suitable for use in both high throughput screening carried out in centralized testing laboratories and in point-of-care testing devices used in the field, at home, in the workplace, or at public facilities for rapid detection and diagnosis.

This invention relates to the fields of computational materials science and materials informatics, and discloses a method for predicting and screening material properties based on a deep learning force field model. The method includes: inputting material structure data into a first-principles calculation module to generate an initial dataset; removing outlier samples through multiple physical plausibility checks; inputting the screened, consistent dataset into a force field model based on an isovariant graph neural network for training; updating model parameters by constructing a joint loss function using an automatic differentiation mechanism and physical conservation constraints; inputting candidate materials into the trained model to obtain energy and forces; outputting mechanically stable configurations after structural relaxation; calculating the multi-dimensional physical properties of these configurations; and weighting and ranking them using a multi-index comprehensive scoring function. This invention solves the problems of easy force divergence in traditional force fields and the high cost of first-principles calculations, achieving low-cost, high-throughput screening of unknown materials while ensuring physical consistency and accuracy.

The application relates to a high-throughput screening method of Aspergillus oryzae, which comprises the following steps: (1) preparing an Aspergillus oryzae library; (2) embedding spore suspensions of Aspergillus oryzae contained in the Aspergillus oryzae library based on a droplet microfluidic cell sorting system, generating a plurality of droplets with a volume of 524-697 pL and collecting the droplets; (3) after the plurality of droplets formed in the step (2) are cultured at 28-32 DEG C for 7-8 h, glutamic acid pseudo-fluorescent protein sensors are injected into the droplets at a temperature of 15-17 DEG C by using a droplet injection chip, and the sensors are collected; (4) after the droplets in which the glutamic acid pseudo-fluorescent protein sensors are injected in the step (3) are reacted at 15-17 DEG C for 5-7 h to generate fluorescence signals, the droplets are sorted according to the fluorescence signal intensity by using a droplet sorting chip, and Aspergillus oryzae corresponding to 1‰ of the droplets with the lowest fluorescence signal intensity is screened. The method has high screening throughput, and realizes high-throughput screening of Aspergillus oryzae in a picoliter droplet system.

The application belongs to the technical field of chemical synthesis, and discloses a microfluidic droplet-Raman combined two-phase reaction synthesis system screening chip system and method, which is composed of a microfluidic droplet two-phase reaction chip and a droplet bearing chip, and the microfluidic droplet two-phase reaction chip comprises four solution adding areas, two droplet generating areas, two droplet mixing areas, a droplet balancing area, a droplet fusion area and corresponding sample inlets and outlets; the droplet balancing area connects all parts in the chip, balances pressure, and enables the droplets to reach and fuse simultaneously; the fused droplets reciprocate in the mixing reaction area, the reagents in the droplets are mixed and two-phase interfacial reactions occur; the reaction droplets are guided out of the chip outlet, added dropwise to the droplet bearing chip, and further combined with external Raman spectrum detection. The droplet bearing chip comprises a droplet bearing micropit array, the overall size is adapted to the Raman spectrum carrier table, and a precise control and high-throughput screening method is provided for screening two-phase organic reaction paths.

The application discloses a high-throughput screening method for anti-gastric cancer drugs. The application constructs a high-throughput screening method for anti-gastric cancer drugs, which is based on fluorescence polarization technology to screen small molecule inhibitors for inhibiting the interaction between SOS1 and GRB2, and the small molecule inhibitors for inhibiting the interaction between SOS1 and GRB2 have the potential to prepare drugs for treating gastric cancer. Through the high-throughput screening method for anti-gastric cancer drugs, the screening efficiency of the anti-gastric cancer drugs is improved, and the digitalis saponin is verified by experiments to have the anti-gastric cancer effect as a potential anti-gastric cancer drug candidate. The digitalis saponin has the ability to inhibit the interaction between SOS1 and GRB2. The finding provides a new direction and possibility for developing gastric cancer treatment drugs and brings more treatment options for gastric cancer patients.

The invention provides a crop insect resistance character high-throughput screening method based on transboundary RNA stability, and the method comprises the following steps: firstly, inoculating standardized aphids to crop leaves to be detected, and limiting feeding time; then, time sequence sampling is carried out at a specific time point after the aphids are removed; then, extracting total RNA (Ribonucleic Acid) of a plant, and detecting abundance of target transboundary RNA by utilizing an aphid specific primer through a real-time fluorescent quantitative PCR (Polymerase Chain Reaction) technology; then, calculating the stability index of the transboundary RNA, calculating the resistance index of the crop based on the established mathematical model, and judging the resistance grade according to the resistance index; and finally, integrating the steps on a high-throughput automatic platform, and further applying the obtained resistance phenotype data to whole genome association analysis so as to mine resistance gene loci.

The application relates to a high-throughput screening method of a glycosaminoglycan backbone synthase. The method comprises the following steps: (1) constructing a glycosaminoglycan backbone synthase library; (2) constructing a recombinant vector; (3) constructing a recombinant bacterium for screening the glycosaminoglycan backbone synthase; (4) culturing the recombinant bacterium; (5) after the bacterial liquid of the recombinant bacterium is analyzed or sorted through flow, the fluorescence is measured, and the target glycosaminoglycan backbone synthase is screened. In the application, the Bacillus subtilis BS168ASS is used as a host bacterium, the uridine diphosphate-glucose-6-dehydrogenase gene and the glycosaminoglycan backbone synthase gene are overexpressed, and the recombinant bacterium for screening the glycosaminoglycan backbone synthase is constructed. Then, the fluorescence of the strain is measured, the glycosaminoglycan backbone synthase strain is accurately screened in a high-throughput mode, the screening efficiency is improved, and a new starting point is provided for the discovery of new glycosaminoglycan backbone synthases in microorganism groups of new sources, especially in the microorganism groups that cannot be cultured in a metagenome library.

The application discloses a high-throughput screening method for asymmetric catalytic reaction and belongs to the technical field of testing. The method is based on the diastereomeric resolution strategy of a derivatization reaction between a labeled substrate and a chiral reagent, and can realize rapid chiral analysis of various chiral compounds. The diastereomeric resolution strategy is applied to rapid chiral analysis of asymmetric catalytic reaction for the first time, the cumbersome and time-consuming process of chiral chromatographic separation analysis is avoided, high-throughput screening of asymmetric catalytic reaction is realized, and complex chemical reaction space information of the asymmetric catalytic reaction is depicted, so that the method has the advantages of high accuracy, simplicity and rapidness.

This invention discloses a method with NMN + A preferred glucose-6-phosphate dehydrogenase mutant and its preparation method were investigated. Using the TmG6PDH-R7 mutant as the starting protein, random mutations were performed using error-prone PCR to construct a random mutant library. A high-throughput screening method for positive clones on plates was used to obtain the clones with the most obvious color development. Recombinant bacteria were cultured and purified to obtain the mutants. After three rounds of screening, NMN with amino acid sequences as shown in SEQ ID NO.6, SEQ ID NO.8, or SEQ ID NO.10 was obtained. + A glucose-6-phosphate dehydrogenase mutant with enhanced preference, achieving NMN + The specific enzyme activity of TmG6PDH coenzyme is increased. The mutant with the amino acid sequence shown in SEQ ID NO.10 has more than 5 times higher specific enzyme activity at 37 degrees compared with the R7 mutant with the highest specific enzyme activity, and has good application prospects in industrial production.

This invention discloses a high-throughput screening method for lithium-ion battery electrode materials based on single-particle electrochemical technology. The method first uses automated spotting technology to deposit sample solutions of various electrode materials in an array onto the same conductive substrate, forming a microarray containing multiple independent deposition points. Subsequently, this array is assembled into an electrochemical testing unit. During charge and discharge, an optical imaging system is used to monitor the dynamic optical response of each deposition point in situ and synchronously. Finally, the optical signals of each point are extracted and analyzed, and electrochemical parameters for evaluating material performance are obtained through fitting. This invention can acquire intrinsic electrochemical response data of dozens to hundreds of material particles in a single experiment, offering high throughput, simple operation, and avoiding interference from conductive agents and binders in traditional electrode preparation. It can accurately reflect material characteristics and significantly improve the efficiency of electrode material research and screening.

This invention relates to the field of biotechnology, providing a 3β-ketosteroid isomerase mutant and its high-throughput screening method. The amino acid sequence of the 3β-ketosteroid isomerase mutant is obtained by introducing the F103V mutation into the sequence shown in SEQ ID NO:1, or by introducing one or more of the following mutations into the sequence shown in SEQ ID NO:1: F103V mutation; and L23A, R46E, S58G, and G117M mutations. This mutant can catalyze the double bond isomerization reaction of 4-androstenedione to generate 5-androstenedione, and significantly enhances its catalytic activity.

This invention proposes a high-throughput screening method and system for thermodynamically stable molecular crystal forms, belonging to the field of molecular crystal technology, to solve the problems of inefficiency and inaccuracy in existing methods for screening the most thermodynamically stable crystal forms. The method includes: Step S1, calculating the lattice energy of the molecular crystal using a quantum mechanical method considering dispersion interactions, and establishing a lattice energy database containing molecular crystal structures and their corresponding lattice energies; Step S2, based on the lattice energy database, constructing a quantitative prediction model between crystal structure and lattice energy using a deep graph neural network, wherein the quantitative prediction model is used to predict the lattice energy corresponding to an unknown crystal structure; Step S3, coupling the trained quantitative prediction model with the crystal structure prediction process; generating candidate crystal structures of the target molecular crystal using the crystal structure prediction method, using the quantitative prediction model to predict the lattice energy of the candidate crystal structures, and screening out thermodynamically stable candidate crystal forms based on the predicted lattice energy.

This invention discloses a flexible intelligent immobilization carrier with molecular chaperone-like function and its applications. The flexible polymer immobilization carrier obtained by this invention using a high-throughput screening method exhibits high affinity and good selectivity for enzyme proteins, and can replace traditional immobilization carriers. This immobilization carrier is a flexible polymer prepared by chemical methods, possessing high stability, long service life, and strong resistance to harsh environments, overcoming the shortcomings of traditional immobilized enzyme carriers such as poor selectivity for enzyme proteins, high preparation costs, and reduced enzyme catalytic activity. The immobilization carrier prepared by this invention is a flexible polymer, which is beneficial for adapting to the flexible conformation of enzymes, enabling it to perform molecular chaperone functions, bind to denatured and inactivated enzymes, and utilize the specific molecularly imprinted holes of the flexible polymer to restore the structure and catalytic performance of enzymes without the need for external conditions and complex experimental equipment, thus achieving the refolding of denatured enzymes.