66 results about "Molecular screening" patented technology

The invention discloses development and application of a molecular marker of a rape stain tolerance related gene BnaERF3, and belongs to the technical field of molecular biology. According to the invention, the BnaA06. ERF3 gene is screened on the basis of whole genome associated molecules, and is used as a key gene in QTL (qWL.A06) to participate in regulation and control of the waterlogging tolerance of the rape. A molecular marker related to the waterlogging tolerance of the brassica napus is developed aiming at the BnaA06. ERF3 gene, and tests show that the waterlogging tolerance of the brassica napus can be detected by utilizing the molecular marker, so that varieties containing waterlogging tolerance genes are subjected to auxiliary selection and breeding, and the waterlogging tolerance breeding process of the brassica napus is accelerated.

The invention discloses a drug molecule virtual screening method based on combination mode analysis, and belongs to the field of artificial intelligence drug discovery. Using PLIP to calculate binding modes between the to-be-screened target and the small molecules, performing coding, using a DBSCAN algorithm to cluster the binding modes, and identifying compound populations of similar binding modes; in the screening stage, two key indexes are introduced: an energy index is formed according to a hydrogen bond compensation number and an AutoDock Vina score, the correlation between related residues and key site alpha carbon atoms in a binding mode is used as an activity index for evaluating the binding stability and characteristic activity between a target and a small molecule, and multi-target frontier analysis is performed on candidate molecules; according to the method, the efficiency and precision of virtual screening are remarkably improved, detailed analysis on intermolecular interaction is enhanced, the method is suitable for small-scale and large-scale molecular screening, the drug research and development cost is reduced, the drug research and development time is shortened, the diversity of virtual screening results is enriched, and potential candidate molecules are provided for subsequent experiments.

The invention discloses an SERS (Surface Enhanced Raman Scattering) substrate with a needle-like diagram nanostructure and a preparation method of the SERS substrate, and belongs to the field of nanotechnology and detection. The preparation method of the needle-like Turing nano-structure SERS substrate comprises the following steps: by taking a silver needle as a carrier, carrying out electrochemical etching on the surface of the silver needle to induce to form a Turing nano-structure with fractal topological characteristics, and then inducing to conformally grow a layer of zeolite imidazole framework-8 material as a shell layer by utilizing the nano curvature characteristics of the fractal structure, so as to prepare the needle-like Turing nano-structure SERS substrate. And a composite SERS enhanced platform with an electromagnetic field hot spot aggregation effect and a molecular screening and enriching capability is constructed. The platform has the advantages of high structural uniformity, expandability in manufacturing, synergy of signal enhancement and molecular recognition and the like, remarkably improves the detection sensitivity and the signal reproducibility, and is suitable for trace analysis in a complex sample system, such as related application in the fields of food safety, environmental pollution monitoring, biomedicine and the like.

The invention relates to application of mitogen-activated protein kinase PiPmk1 in screening molecules for inhibiting formation of a phytophthora infestans infection structure. The invention finds that the molecular marker plays a key role in the development of a phytophthora infestans cyst bud tube and / or the formation of an infection structure, which indicates that the molecular marker has the potential of serving as a target for inhibiting phytophthora infestans infection, and a corresponding molecular screening method and a generative prediction model are further developed and utilized; rapid and accurate prediction and screening of phytophthora infestans infection inhibitory molecules are realized, the research and development period and cost are greatly shortened, and a new thought and a new method are provided for development of accurate targeted green pesticides.

The present disclosure provides a method, device, electronic device and storage medium for molecular screening, and relates to the fields of deep learning technology, graph theory technology and biological and information technology in the field of artificial intelligence technology. The method is as follows: obtain a first label map of the molecule to be screened and a second label map of the reference molecule, each molecule to be screened and the reference molecule form a molecule pair, for each molecule pair, obtain the mapping between the vertices of the first label map and the second label map and the conflict information between the mappings to generate a mapping map of the molecule pair, sample the mapping map, obtain the maximum weight fully connected subgraph of the molecule pair, and according to the maximum weight fully connected subgraph of each molecule pair, screen out the molecule to be screened with the greatest similarity to the reference molecule as the target molecule. A framework for molecular screening based on Gaussian boson sampling is proposed, so that Gaussian boson sampling can be used to efficiently implement the problem of ligand-based drug virtual screening and improve the efficiency of molecular screening.

The invention discloses an additive molecule screening design method for optimizing the performance of ester-based insulating oil, and relates to the technical field of electrical insulating materials. The invention provides an additive molecule design method combined with a deep molecule generation model, aiming at solving the problems that the breakdown voltage performance is insufficient due to the fact that ester-based insulating oil is easy to generate rapid streamer under high-strength lightning impulse, and time and labor are consumed when an appropriate additive is found through an experiment. The method comprises the following steps: acquiring molecular data with target electronic attributes; taking the fragment of the molecular structure as the input of the model, and designing a new additive molecular structure by utilizing the molecular generation model; performing molecular screening according to target characteristics; and the performance of the screened molecules is verified through streamer discharge simulation. According to the method, generative design of ester-based insulating oil additive molecules is realized by using the deep autoregressive neural network, the molecular screening efficiency is remarkably improved, and a new technical route is provided for improving the breakdown voltage performance of the ester-based insulating oil.

The invention relates to a virtual molecular screening method based on artificial intelligence and related equipment, and the method comprises the steps: obtaining SMILES of a plurality of to-be-screened molecules and series ligand molecules, and calculating molecular descriptors, parent nucleus structures and substituent groups of the series ligand molecules; generating a 3D conformation of the ligand molecule, performing molecular docking with the 3D conformation of the target protein, and calculating the protein-ligand interaction of the target protein; acquiring molecular activity experimental data of each ligand molecule; the molecular descriptor of the ligand molecule, the parent nucleus structure, the substituent group, the protein-ligand interaction and the corresponding molecular activity experiment data form training data to train an XGBoost model; the trained XGBoost model is incorporated into an SHAP algorithm for calculation and analysis, and SHAP values of the input data are obtained; making a molecular screening rule based on the SHAP value; and screening the molecules meeting the requirements from the plurality of to-be-screened molecules based on a molecule screening rule.

The invention belongs to the technical field of adsorption materials, and particularly relates to a molecular sieve adsorbent and a preparation method and application thereof. The preparation method of the molecular sieve adsorbent provided by the invention comprises the following steps: mixing sodium-based X-type molecular sieve raw powder, a binder and a pore-foaming agent to obtain powder; the binding agent is attapulgite; the silica-alumina ratio of the sodium-based X type molecular sieve raw powder is 1.9-2.15; mixing the powder and the polymer solution, and spheroidizing to obtain an adsorbent precursor; and roasting the adsorbent precursor to obtain the molecular sieve adsorbent. The molecular sieve adsorbent finished product obtained by the preparation method provided by the invention has an excellent pore structure, and has excellent carbon dioxide adsorption performance under a water vapor condition.

The invention relates to the technical field of graded screening, in particular to a graded screening system based on staggered stacked metal ring films and a preparation method and application. An organic ligand and two metal complexes are subjected to interface coordination assembly under the action of silver ions, an ordered staggered stacked metal ring film is constructed, the structure and performance of the metal ring film are precisely regulated and controlled, the metal ring film has a definite molecular sieve component difference, and then precise grading screening of different molecules is achieved. The film has an obvious lattice structure, has good crystalline orderliness, and can ensure the stability and reliability of the screening process. The graded screening system based on the staggered stacked metal ring membranes has excellent interception performance on target molecules, and effective separation of TAC from glucan and leucine can be achieved. The two-stage membrane classification screening strategy can also be popularized to separation and purification of other substances, and good universality and industrial application prospects are achieved.

The invention provides an SNP (Single Nucleotide Polymorphism) molecular marker related to nocardia seriolea seriolea resistance traits of lateolabrax japonicus, a method for screening nocardia seriolea seriolea resistance lateolabrax japonicus and application, and particularly belongs to the technical field of aquatic organisms. The invention provides an SNP (Single Nucleotide Polymorphism) molecular marker related to nocardia seriola seriola resistance traits of lateolabrax japonicus, the nucleotide sequence of the SNP molecular marker is as shown in SEQ ID NO.1, the 760th basic group of the sequence as shown in SEQ ID NO.1 is an SNP site, and the basic group is A or G; when the SNP molecular marker is AA genotype, the lateolabrax japonicus is judged as the lateolabrax japonicus resistant to nocardia seriolae. The SNP molecular marker is an effective SNP marker for early molecular screening of nocardia seriolae seriolae infection resistance traits of lateolabrax japonicus, disease resistance breeding of lateolabrax japonicus can be achieved, and nocardia seriolae seriolae resistance lateolabrax japonicus is obtained.

The invention discloses a molecular screening method and device, a medium and a product. The method comprises the following steps: acquiring multiple terminal groups and multiple intermediate molecular fragments; generating a plurality of molecules based on the plurality of terminal groups and the plurality of intermediate molecule fragments, and describing each molecule by adopting a molecular structure file; according to each molecular structure file, obtaining parameter values of a plurality of performance parameters of each molecule; and screening out a target molecule from the plurality of molecules based on the parameter values of the plurality of performance parameters of each molecule. Through the mode, the multiple generated molecules can be quickly screened, the target molecules meeting the requirements are obtained, the human participation degree in the whole process is low, the cost can be reduced, and the molecular screening efficiency is improved.

The invention relates to the field of rotating wheel adsorption, and particularly discloses zeolite molecule screening rotating wheel adsorption concentration equipment which comprises a frame, a rotating disc rotationally mounted on the frame and a plurality of adsorption filtering units distributed in the circumferential direction of the rotating disc. The adsorption filtering unit comprises an outer supporting pipe, a composite filter and a zeolite disc; the outer supporting pipe is arranged along the radius direction of the turntable; the composite filter is movably mounted in the first end of the outer supporting pipe; the zeolite plate is mounted in the second end of the outer supporting pipe; four treatment areas which are distributed in the circumferential direction are arranged on the rotary table, and first multi-way connectors and second multi-way connectors which are installed on the frame are arranged on three of the treatment areas; the first multi-way connector is used for being connected into the first end of the outer supporting pipe, and the second multi-way connector is used for being connected into the second end of the outer supporting pipe. The device has the effect of being easy to maintain.

The invention discloses development and application of a molecular marker of a rape oil content related gene BnaLTP3.A02, and belongs to the technical field of molecular biology. According to the invention, the BnaLTP3.A02 gene is screened on the basis of whole genome associated molecules, and the BnaLTP3.A02 gene is used as a key gene in QTL (qeOC.A02.1) to participate in regulation and control of the oil content of brassica napus. The molecular marker related to the oil content of the brassica napus is developed aiming at the BnaLTP3.A02 gene, and experiments find that the oil content of the brassica napus can be detected by utilizing the molecular marker, so that auxiliary selection and breeding of varieties with high oil content are realized, and the process of high-oil-content breeding of the brassica napus is accelerated.

Described herein are methods and systems for proposing coordination framework compounds, such as crystalline porous materials, crystalline open frameworks, network chemical compounds, metal-organic framework (MOF) compounds, covalent organic framework (COF) compounds, zeolitic imidazole framework (ZIF) compounds, and combinations thereof. Also described herein are coordination frame compounds produced by these methods and systems and adsorbent systems comprising these coordination frame compounds. The methods and systems described herein combine machine learning and chemistry to propose chemically effective and improved performance coordination framework compounds that meet the different objectives of material discovery.

This invention discloses the development and application of a molecular marker for the BnaERF3 gene associated with waterlogging tolerance in rapeseed, belonging to the field of molecular biology. Based on genome-wide association molecular screening, the BnaA06.ERF3 gene was identified as a key gene in a QTL (qWL.A06) involved in regulating waterlogging tolerance in rapeseed. A molecular marker associated with waterlogging tolerance in Brassica napus was developed for the BnaA06.ERF3 gene. Experimental results indicate that this molecular marker can be used to detect waterlogging tolerance in Brassica napus, thereby enabling assisted selection and breeding of varieties containing the waterlogging tolerance gene and accelerating the breeding process for waterlogging tolerance in Brassica napus.

The invention belongs to the technical field of biological medicines, and particularly relates to application of an angiotensin II receptor antagonist in preparation of a medicine for preventing and treating renal tubular injury caused by triptolide. According to the invention, the upstream key target protein of the TPL-induced renal tubule injury is determined to be HSPA1 through experiments for the first time, and the problem that the key target spot of TPL toxicity is not determined in the prior art is solved. Based on a key target spot of TPL toxicity, through molecular screening and parallel pharmacodynamic verification on various sartan drugs such as irbesartan, losartan, olmesartan and valsartan, it is determined that the angiotensin II receptor antagonist has a general protection effect on TPL toxicity. Wherein the protective efficacy of irbesartan as a preferable embodiment is obviously superior to that of losartan of the same kind (the efficiency slope is 2.451 to 1.584).

The utility model relates to the technical field of 96-well plates, and discloses a 96-well plate with a molecular screening function, which comprises a 96-well plate body, a detachable screening layer plate is arranged above the 96-well plate body, a plurality of screening pipes are arranged on the screening layer plate, and molecular screening nets are arranged in the screening pipes. The screening pipes correspond to holes in the 96-well plate body one to one, the lower ends of the screening pipes are arranged in the holes in the 96-well plate body, a detachable pressing plate is arranged above the screening layer plate, a plurality of pressing rods are connected to the lower portion of the pressing plate, pistons are connected to the lower ends of the pressing rods, and the pistons correspond to the screening pipes one to one and are matched with the screening pipes. The utility model has the advantages that the combined structure is convenient to split, the molecular screening time is saved, and experimental liquid is directly injected into the hole.

The embodiment of the invention relates to a processing method and device for generating an MR-TADF molecular library. The method comprises the following steps: taking a preset benzene ring structure as an initial molecular skeleton; performing molecular skeleton deduction based on the initial molecular skeleton to obtain a corresponding molecular skeleton library; carrying out heteroatom substitution and hydrogen atom addition treatment on molecular skeletons in the molecular skeleton library to obtain a corresponding preselected molecular library; and performing MR-TADF molecular screening on the molecular structure of the preselected molecular library to obtain a corresponding MR-TADF molecular library. According to the method, a molecular database with massive MR-TADF molecular structures can be constructed, and the purpose of effectively increasing MR-TADF molecular types and the number of molecular structures is achieved.

The invention discloses a medical molecular sieve central oxygen production system, comprising an air compressor, a main filter, a dryer, a first precision filter, an air storage tank, a molecular sieve oxygen generator, an oxygen concentration detector, an oxygen storage tank, and a busbar, which are sequentially connected through pipelines. The molecular sieve oxygen generator comprises an oxygen generator cylinder, an anti-powdering mechanism, and a power mechanism. The oxygen generator cylinder is provided with an anti-powdering mechanism, and the middle of the oxygen generator cylinder is provided with a power mechanism, and the anti-powdering mechanism is driven to rotate by the power mechanism. The anti-powdering mechanism disclosed in the invention rotates at a high speed under the drive of the power mechanism, so that the molecular sieve in the anti-powdering mechanism performs a high-speed circular motion. The molecular sieve is almost always attached to the inner wall under the action of centrifugal force, so that the collision of the airflow inside the molecular sieve is greatly weakened, so that the molecular sieves are prevented from rubbing and colliding with each other due to being in a boiling state, and the molecular sieves are prevented from being pulverized to a great extent.

The invention provides a high-throughput molecule screening and molecule intelligent construction platform and a data processing method thereof, and relates to the technical field of chemical informatics and drug research and development, the high-throughput molecule screening and molecule intelligent construction platform comprises a multi-molecule batch operation module, a single-molecule editing module and a modular task combination engine, 34 core functions of molecular data cleaning, multi-dimensional screening, molecular fingerprint similarity analysis, similarity map screening based on MACCS fingerprints, structure replacement, molecular disassembly, atomic contribution analysis and the like are supported; according to the data processing method, a unique SMILES code is generated through standardized cleaning, in combination with screening conditions such as user-defined functional groups and molecular weights, a similarity matrix is calculated by utilizing topology / MACCS fingerprints, and a reference molecular structure is matched through a similarity map, so that high-precision screening is realized. The problems of limited application scene, poor database compatibility and complex operation in the prior art are solved, and the molecular screening efficiency and precision are remarkably improved.

The present invention discloses a method for detecting halogenated organic substances in a landfill leachate and water bodies polluted with the leachate, by a combined solid phase extraction method comprising HLB solid phase extraction and PPL solid phase extraction, acidifying the sample using formic acid, and subjecting the aqueous sample to solid phase extraction enrichment using an HLB solid phase extraction column and a PPL solid phase extraction column, respectively, elution with methanol, the enriched samples are then subjected to FT-ICR MS detection, performing molecular formula matching of organic molecules, molecular screening, molecular information summarization and statistical analysis of data of samples separately on two FT-ICR MS detection data, collecting the two together gives all dissolvable halogenated organic compounds (HOCs) in samples of water, halo-organic species are then visualized by Sankey diagrams.

The invention discloses a screening method, system and device based on molecule generation and activity prediction and a medium. The screening method comprises the following steps: S1, collecting an active molecule sample; s2, preprocessing the collected active molecule samples to generate standardized molecule data; s3, predicting the activity of the standardized molecular data; and S4, screening the standardized molecular data. The method is suitable for molecular screening in the field of drug discovery, and compared with the prior art, the method has the following advantages that efficient generation is achieved, specifically, molecules related to specific targets are rapidly generated through transfer learning, and the experimental screening range is reduced; the ROC values of the activity prediction model on a BindingDB database and a DAVIS database respectively reach 0.968 and 0.989, so that the screening precision is remarkably improved. And comprehensive screening: combining a molecular docking technology to further verify a molecular binding mode and improve the experiment success rate. In conclusion, the method is particularly suitable for active molecule discovery of novel targets (such as STING agonists), the research and development period can be remarkably shortened, and the experiment cost can be reduced.

The invention relates to the technical field of animal husbandry genetic breeding, in particular to an SNP (Single Nucleotide Polymorphism) molecular marker and a primer pair related to the strength of an egg shell of white coming aviation and application of the SNP molecular marker and the primer pair. Compared with the prior art, the white leghorns with the ultra-long egg producing period are subjected to whole genome association analysis, SNP sites related to the eggshell strength character are screened out, then the SNP sites rs733980419 which reach the whole genome significant level at the age of 60 weeks are screened out through single-site GWAS analysis, the SNP molecular marker is developed on the basis of the screened SNP sites, and the SNP molecular marker has the advantages that the SNP sites related to the eggshell strength character are obtained; experiments prove that the SNP molecular marker is closely related to the eggshell strength, early molecular screening is realized, and the breeding efficiency is improved. Experiments prove that the SNP molecular marker and the primer pair provided by the invention can be used for early identification or screening of eggshell strength traits of chicken flocks and auxiliary breeding of chicken strains with high eggshell strength traits, and the eggshell breakage rate in the later period is reduced.

The invention relates to the technical field of drug research and development and artificial intelligence crossing, and particularly discloses an intelligent drug research and development molecular screening method. The method comprises the following steps: constructing a bipartite interaction diagram of candidate molecules and target protein; for each interaction edge in the graph, generating a dynamic interaction feature representing the specific molecule-target pair potential binding mode in real time through an interaction attention module as an edge feature; a graph neural network is used for multi-round message passing, dynamic interaction features are iteratively refreshed according to updated node features, and collaborative optimization of node and edge features is achieved; and finally, calculating a prediction score based on the optimized edge features and node features to complete screening. According to the method, interaction characteristics are dynamically generated and iteratively optimized, so that the dynamic process of molecule-target combination is effectively simulated, and the applicability and the screening accuracy of targets with incomplete structural information are improved.

The present invention discloses a ZSM-5 molecular sieve with stepped pores and a preparation method thereof, comprising the following steps: step 1, mixing an aluminum source precursor, a template agent and a chelating dispersant to obtain an aluminum source precursor solution; step 2, mixing an aluminum source precursor solution with a silicon source precursor solution to obtain a molecular sieve crystallization mother solution; step 3, adding a seed to the molecular sieve crystallization mother solution, aging, crystallization, and obtaining a ZSM-5 molecular sieve with stepped pores; wherein the chelating dispersant is at least one of sodium ethylenediaminetetramethylenephosphonate, hydroxyethylidene diphosphonic acid, and sodium polymethacrylate. The present invention achieves the purpose of adjusting the micropores and mesopore size and ratio of the ZSM-5 molecular sieve by adding a chelating dispersant during the preparation of the ZSM-5 molecular sieve, and controlling the type and dosage of the chelating dispersant, so that the resulting ZSM-5 molecular sieve pore size distribution can meet the requirements of different raw materials, and finally achieves directional matching.

The utility model provides an air separation device with a molecular sieve, and relates to the field of air separation devices, and the air separation device comprises a first air compressor, an air storage tank, a filter assembly, an air adsorption tower, a waste nitrogen adsorption tower, a second air compressor, a third air compressor, an oxygen storage tank and a nitrogen storage tank. Then the air is stored in an air storage tank, then fed into a filtering assembly to filter impurities in the air and then fed into an air adsorption tower to be subjected to molecular screening for the first time, and screened oxygen molecules are fed into a third air compressor to be compressed; nitrogen containing impurities is fed into a waste nitrogen adsorption tower for secondary molecular screening, the nitrogen subjected to secondary screening is fed into a second air compressor to be compressed, and oxygen subjected to secondary screening by the waste nitrogen adsorption tower is also fed into a third air compressor to be compressed; according to the utility model, secondary molecular screening can be carried out through the air adsorption tower and the waste nitrogen adsorption tower, and the efficiency is higher.

This invention discloses a method for heavy ion beam mutagenesis breeding of poultry. To address the challenges of efficient, rapid, and safe breeding in poultry, this method utilizes heavy ion beam irradiation of poultry progenitor cells (PGCs) to induce radiation mutagenesis, constructing a mutant cell library. The PGCs in this library are then isolated into single cells to form monoclonal populations. Targeted deep sequencing is used to screen for positive PGCs with gene mutations from the S2-after monoclonal population, and the mutated gene is preliminarily identified. Positive PGCs are injected via microinjection into recipient embryos after their own PGCs have been ablated, resulting in chimeras. Individuals developed from these chimeras undergo molecular screening and identification. M1 generation individuals containing the identified mutated gene are then used for breeding to obtain offspring strains that stably inherit the mutated gene. This method is efficient, rapid, safe, and avoids the ethical and regulatory risks associated with gene editing technologies, making it of significant application value for mutagenesis breeding in poultry.

The invention discloses a black tea multi-dimensional flavor component extraction method based on quantum calculation optimization, which comprises the following steps: carrying out multi-dimensional component detection on black tea leaves by utilizing near infrared spectrum and Raman spectrum technologies, analyzing the distribution of flavor components in combination with a machine learning algorithm, screening out black tea raw materials meeting specific flavor requirements, and extracting the black tea raw materials according to the specific flavor requirements. A short pulse laser technology acts on black tea leaf cell walls, local microcracks are generated, release of flavor molecules is optimized, damage of high-temperature treatment to heat-sensitive components is avoided, in the extraction process, multiple variables are dynamically regulated and controlled based on a quantum optimization algorithm, pulse type extraction and a temperature dynamic control technology are combined, and the extraction efficiency is improved. Volatile and non-volatile flavor components in black tea are extracted by stages, extraction conditions are monitored in real time through a sensor, variables in the extraction process are always in an optimal state, the flavor components are separated by utilizing a nanoscale molecular screening technology, waste liquid generated in the extraction process is treated through an energy-saving optimization technology, and recyclable resources are recycled.

The present application provides a method for training a molecular binding model, a molecular screening method and a device, which can be applied to the field of intelligent medical care to solve the problem of low molecular screening accuracy. The method includes: using the molecular binding model to be trained, based on protein feature information and molecular feature information, determining the binding activity feature information, embedded feature information and co-crystal feature information between the sample protein molecule and the sample candidate molecule, wherein the embedded feature information is used to characterize the degree of binding between the sample protein molecule and the sample candidate molecule, the co-crystal feature information is used to characterize whether there is a co-crystal structure between the sample protein molecule and the sample candidate molecule, and the molecular binding model to be trained is used for prediction; based on the binding activity feature information, embedded feature information and co-crystal feature information, determining the training loss of the molecular binding model to be trained.

The application discloses a method for increasing drought adaptability of plant osmotic regulation substance accumulation, and belongs to the field of plant genetic engineering and drought-resistant molecular breeding. First, a plant to be transformed is combined with 13C-glutamic acid and 15N-choline double isotope labels to quantize carbon and nitrogen flow redistribution of proline synthesis pathways and glycine betaine synthesis pathways in leaf cells and vascular bundle companion cells, and to identify rate-limiting enzyme nodes. Second, a multi-cistronic plant expression vector is constructed. A first expression box is driven by a leaf-specific promoter and a drought response cis-element composite promoter to drive P5CS. A second expression box is driven by a companion cell-specific promoter and a drought response cis-element composite promoter to drive BADH. Positive transformants are obtained through Agrobacterium mediation or gene gun transformation and molecular screening. The expression quantity of the positive transformants is increased by 5 to 50 times under stress and falls back to a baseline within 72 hours of rehydration. Root activity is significantly improved, and yield is preserved.