29 results about "Enzyme function" patented technology

The invention discloses a cerium nano-enzyme composite active material and application thereof in hepatic failure treatment, and belongs to the technical field of nano-materials. The invention combines the functions of miR122 and cerium dioxide nano-enzyme, develops a new stem cell differentiation inducer, namely a cerium nano-enzyme composite active material, and deeply studies the potential mechanism of the nano-enzyme material with catalytic activity in regulating stem cell fate, and the cerium dioxide nano-enzyme can be used for delivering miR122 into stem cells after being modified, so that the stem cell differentiation inducer can be used for inducing stem cell differentiation. The miR122 is highly enriched in cells, so that hepatic differentiation is induced. Meanwhile, the catalytic activity of the cerium dioxide nano-enzyme can regulate the ROS steady state in the cells and protect mitochondria from being damaged by ROS induction, so that the mitochondrial function is maintained, the energy requirement in the differentiation process is met, and the method is of great importance to successful differentiation of the stem cells. In order to solve the problem of activity damage in hepatic cell transplantation, a layer of Ce < 4 + >-polyphenol skeleton is coated on the surface of induced hepatic-like cells (iHLCs), so that the function and activity of the hepatic cells after transplantation are further protected, and the in-vivo treatment effect of the hepatic cells is improved.

The present disclosure belongs relates to a 2709 alkali protease mutant modified based on molecular dynamics calculation and use thereof in liquid detergents. The dynamic structure feature of a 2709 alkali protease derived from Bacillus licheniformis are studied by using a molecular dynamics method through computer simulation, which is a unique effective method capable of studying a relationship between the structure of the 2709 alkali protease and molecular dynamics as well as an enzyme function in an atomic level. After molecular dynamics calculation, appropriate sites are selected for protein engineering to obtain the 2709 alkali protease mutant suitable for industrial application of detergents. The protease mutant has significantly improved enzyme activity under the alkaline condition, is better in stability, not only has good decontamination effect but also has good component compatibility with components in the detergent, and can be widely applied to the field of washing industry.

This invention discloses a high-yield lactyl-3-4 ...5-4-4-4-4-4- N This invention relates to plasmid-free genetically engineered strains of tetrasaccharides and their applications, belonging to the field of microbial genetic engineering. The invention screened strains with higher activity. β -1,3-galactosyltransferase gene PmgalT Computer-aided enzyme function modification was used to achieve a shake-flask yield of 10.05 g / L for the constructed mutant. Subsequently, genome integration was performed... breast Multi-copy integration PmgalT * V27I / V39I / Y147F ‑galE‑galU A plasmid-free strain was constructed, enabling it to grow in shake flasks with lactoyl- N The yield of tetrasaccharides reached 14.4 g / L. Using glucose as the sole carbon source, the highest yield of 68.19 g / L was achieved at 64.5 h; using glycerol as the sole carbon source, the highest yield of 62.88 g / L was achieved at 60.5 h, providing a basis for its industrial production.

The present disclosure provides a technique for inhibiting ubiquitin ligase RFFL function and improving the plasma-membrane expression of a mutant CFTR protein. The present disclosure also provides a novel therapeutic agent for CF.　The present inventors have found that a modified oligonucleotide, or a salt thereof, having a specific base sequence and a modified structure, can inhibit ubiquitin ligase RFFL function and improve the plasma-membrane expression of a mutant CFTR protein.

The disclosed embodiments relate to methods of initiating aripiprazole treatment in a patient who is a CYP2D6 poor metabolizer or a CYP3A4 poor metabolizer, or both.

The invention discloses an enzyme targeted response type benzyl fluorine bridged glucoside gadolinium compound and application thereof as a magnetic resonance contrast agent. According to the invention, a high-stability macrocyclic gadolinium contrast agent is subjected to structural modification, a glycoside group and a benzyl fluorine bridging group with specific biological enzyme responsiveness are introduced, and the benzyl fluorine bridging group triggered by enzyme response forms a quinone methylation active intermediate; the quinone intermediate can react with a nucleophilic biomacromolecule functional group to form a covalent bond to obtain a gadolinium biomacromolecule compound, so that the magnetic resonance relaxation rate of gadolinium molecules can be remarkably improved, the enhancement of an MRI signal is realized, and the real-time specific enzyme tracking function of MRI is realized. Compared with the existing non-targeted responsive gadolinium contrast agent, the contrast agent provided by the invention has specific biological enzyme targeted responsiveness, can be used for real-time and non-invasive monitoring of diagnosis and treatment of enzyme function abnormality diseases, and has important significance in the aspects of precision medical treatment and the like.

A computational system and method for digital modeling of biochemical reactions within cardiac cells are disclosed. The system comprises processors and a computer-readable storage device with instructions to maintain biological data related to cardiac cell reactions and receive user selections via a user interface to configure a simulation. The user can select a cardiac cell class, and functions to load cellular components, generate enzyme activity, load specific enzymes, and perform enzymatic reactions. The system performs in silico experiments, predicts new biological data, and compiles this into configuration data. An enzyme activity model is generated and simulated under various conditions, including user-defined enzymatic dysregulation, to replicate and study cardiac physiology and pathology. The results, such as changes in energy metabolism parameters like glucose consumption and ATP usage, are outputted. The system provides a detailed and interactive platform for research and education in cardiac electrophysiology and disease.

The application belongs to the field of biological enzyme engineering, and provides a rational design method for enzyme modification based on deep learning, which comprises the following steps: constructing a protein crystal structure data set; adding an atomic microenvironment centered on an amino acid residue based on the protein crystal structure data set, and reconstructing the protein crystal structure data set; predicting the amino acid residue of the reconstructed protein crystal structure data set by using a pre-trained amino acid residue prediction model according to the reconstructed protein crystal structure data set; and determining potential sites for enzyme function optimization according to the difference between the predicted amino acid residue probability and the actual amino acid probability of the natural enzyme. The application takes the protein crystal structure data as a basic data set, fully utilizes the physicochemical properties of the protein, and rationally designs and modifies the enzyme based on artificial intelligence, thereby avoiding the inconvenience caused by manual screening.

The invention discloses an enzyme function prediction method based on three-dimensional point cloud characterization and multi-modal fusion. The method comprises the following steps: extracting point cloud features on the surface of protein by using dMaSIF to characterize geometric and chemical characteristics; the point cloud features are coded through the pre-trained Point Net + +; a decoupling cross attention mechanism is adopted to fuse PointNet + + point cloud coding, Sapot network structure coding and ESM-2 sequence coding, and the network is optimized through comparison learning based on sorting loss. The invention also provides an enzyme function prediction system based on three-dimensional point cloud representation and multi-modal fusion, and the system comprises a point cloud feature extraction module, a point cloud coding module, a multi-modal fusion module and an optimization module, and is used for realizing the method. By integrating the protein three-dimensional structure, sequence and multi-source information of surface physicochemical characteristics, the functional prediction accuracy and robustness are remarkably improved, and the method has excellent performance in enzyme classification (EC number prediction) tasks.

There is provided a polynucleotide-modifying enzyme with a functional nuclease domain and a display domain. The functional nuclease domain comprises a nuclease catalytic pocket. The display domain comprises a peptidic recognition sequence of from 3 to 20 amino acids in length, in a loop, an alpha helix or an extension off the end of the alpha helix that is positioned on an external surface of the polynucleotide-modifying enzyme. The peptidic recognition sequence recognizes a target cell receptor of a target cell to allow cell internalization of the polynucleotide-modifying enzyme in said target cell.

Provided are a highly efficient base editing system, a preparation method therefor and the use thereof. Specifically, provided is a fusion protein, comprising a nuclease domain and an editing enzyme domain, wherein the editing enzyme domain is inserted into an insertion site in the nuclease domain. The nuclease domain in the fusion protein has the function of a nuclease, the editing enzyme domain in the fusion protein has the function of an editing enzyme, and the nuclease domain is derived from a Cas protein or a Cas protein mutant. On the basis of an activation-induced cytosine deaminase (AID), a new AID mutant having a shorter sequence and higher base editing efficiency is obtained by means of screening, and then the highly active AID mutant is randomly inserted into nSaCas9 (D10A) KKH, such that a new cytosine base editor EB-TAM having high base editing efficiency and an expanded and narrowed editing scope is successfully obtained by means of screening.

The invention discloses an enzyme functionalized sensor for detecting nano plastic DPV in a biological matrix as well as a preparation method and a detection method of the enzyme functionalized sensor, and belongs to the field of nano plastic detection. The sensor comprises an electrode and CAT enzyme, wherein the surface of the electrode is modified with positively charged nano-gold particles, and the CAT enzyme is fixed through positive and negative electrostatic interaction. According to the sensor, the CAT enzyme and the nano plastic are combined to generate conformational change to change the activity of the CAT enzyme so as to cause DPV signal change, the sensitivity is high, the sensor has similar DPV signal response to different types of nano plastic, and a unified calibration model can be utilized to detect a complex biological matrix system so as to realize total amount determination of various nano plastic. And the electrochemical detection method does not need complex instruments and pretreatment, and provides a rapid, economic and extensible detection scheme for nano plastic exposure evaluation and environmental monitoring.

The invention relates to the field of air purification and environmental governance, and discloses a biological enzyme compound preparation for removing hydrogen sulfide and a preparation method thereof, the compound preparation comprises a compound biological enzyme, a functional additive, polyhexamethylene biguanide, a stabilizer and deionized water; the functional additive is a double-metal-based additive which is prepared by adopting an impregnation method and interacts with a copper-based imidazole ionic liquid and an iron-based metal organic framework, and is prepared by grafting modification by utilizing polyvinylpyrrolidone; the copper-based imidazole ionic liquid is prepared from 1-butyl-3-methylimidazole chlorine salt and copper chloride monohydrate by adopting a melting method; the iron-based metal organic framework is prepared by promoting coordination and self-assembly of 2-aminoterephthalic acid and iron ions through solvothermal reaction, a composite biological enzyme system is formed by carbonic anhydrase, hydrogen sulfide oxidase, thiocyanase and laccase, and the hydrogen sulfide removal efficiency of the composite preparation is improved by introducing a functional additive; and the temperature-resistant range is wider.

The invention aims to provide a method, equipment, medium and program product for determining a target enzyme expressed in a target host, and the method comprises the following steps: on the basis of amino acid sequence information and structure information corresponding to a heterologous enzyme meeting a required function and information of the target host, predicting the target enzyme by using a codon sequence prediction model, the codon sequence prediction model is used for determining codon sequence information and corresponding score information, the score information is used for comparing expression quantities of different codon sequences, the enzyme corresponding to the codon sequence with the higher score can have the higher expression quantity in the target host, and the enzyme corresponding to the codon sequence with the higher score can have the higher expression quantity in the target host. Furthermore, the enzyme efficiently expressed in the target host can be quickly screened out, and the screening cost is reduced. In addition, an enzyme function prediction model and / or an enzyme-substrate interaction prediction model can be combined to screen from the aspects of expression quantity, catalytic reaction type and / or enzyme activity and the like, so as to obtain the enzyme which is high in expression and activity and has required functions.

The present application relates to a kind of functional gene detection method, specifically sulfate-reducing bacteria metabolic enzyme functional gene detection method.The specific sequence of three different hairpin DNA chains is designed according to the specificity of sulfate-reducing bacteria metabolic enzyme, after mixing three different hairpin DNA chains, incubation is carried out by adding the sample to be detected, after incubation, hemin, TMB and H2O2 are added to the system to react, and the key metabolic enzyme DNA of sulfate-reducing bacteria in the sample to be measured is qualitatively / quantitatively detected by color reaction.The preparation method of the present application is simple to operate, and the reaction is rapid, and visible to naked eye.The construction of sulfate-reducing bacteria metabolic enzyme functional gene detection method has potential application value in the research fields of molecular biology, biological analytical chemistry and medical detection.

The present application relates to the field of biological medicine and tissue engineering, and particularly relates to a nano-enzyme functionalized dynamic hydrogel as well as a preparation method and application thereof.The nano-enzyme functionalized dynamic hydrogel comprises black phosphorus nanosheets and nano-enzymes.The preparation method of the nano-enzyme functionalized dynamic hydrogel comprises the following steps: (1) synthesis of a hydrogel precursor solution; (2) preparation of biomimetic nano-enzymes; and (3) preparation of a dynamic hydrogel.In the present application, BP can maintain Ce(III) / Ce(IV) redox cycling through self-oxidation and improve the ROS scavenging capacity in the microenvironment, thereby serving as CeO x a stabilizer of nano-enzymes.In addition, the MBC obtained by wrapping BP@CeO x in the nucleus pulposus cell membrane can better achieve nucleus pulposus cell targeting, so that BP@CeO x can effectively and durably scavenge intracellular ROS.

This invention relates to the field of enzyme function prediction technology, specifically to an enzyme function prediction method based on deep contrastive learning. The method includes: acquiring amino acid sequence data of the target enzyme and molecular structure data of the reaction substrate; performing sequence embedding encoding on the amino acid sequence data to generate sequence feature vectors, and performing graph structure modeling on the reaction substrate molecular structure data to generate molecular graph feature vectors; fusing the two data across modalities to generate a joint feature representation containing spatial complementarity features of enzyme-substrate binding sites and electron transfer features of catalytic active centers; calling a pre-trained contrastive learning encoder to perform contrast sample mining on the joint feature representation, generating a set of positive and negative sample pairs; constructing a contrastive loss function based on this set, and updating the encoder parameters through backpropagation to obtain an optimized model; inputting the data into the optimized model, and outputting the predicted catalytic function category of the target enzyme. This method improves the accuracy and stability of enzyme function prediction.

Disclosed herein are systems for regulating enzyme function using an enzyme inhibitor linked to a target recognition sequence, which releases the inhibitor from the enzyme in the presence of a specific target analyte (e.g., a marker of a disease or disorder), thereby activating the enzyme. These enzymes may generate detectable signals and / or perform therapeutic functions. Also disclosed herein are methods of using these systems for the detection of target analytes and the observation, monitoring, and treatment of diseases and disorders.

This invention discloses a composite nanozyme, its preparation method, and its application. The composite nanozyme uses Prussian blue nanoparticles as a carrier, with a phospholipid bilayer formed by dimyristoylphosphatidylcholine coated on the surface of the Prussian blue nanoparticles. The phospholipid bilayer contains (2,3-dioleoyl-propyl)-trimethylamine and undecylimidazole. This invention is the first to disclose a composite nanozyme formed by modifying the surface of Prussian blue nanoparticles with DOTAP and imidazole groups. The obtained composite nanozyme can effectively catalyze ester hydrolysis, producing at least two orders of magnitude acceleration, which provides a possibility for the direct hydrolysis of cholesterol esters in atherosclerotic plaques by nanomedicines. This invention expands the enzyme-like activity of the Prussian blue nanozyme through special modification, providing a solution for simultaneously achieving multifunctional composite nanozymes with ester hydrolytic enzyme function, catalase-like properties, and superoxide dismutase-like properties.

This document discloses a method and system for manufacturing MFCs. The method according to the present invention includes the following steps: a) A pulp suspension containing cellulose fibers is supplied to a buffer tank (2), where the temperature of the pulp suspension is controlled and adjusted for optimized enzyme function, preferably to ≥20°C; b) Transfer the pulp suspension to the purification unit (3) and purify the pulp to obtain a pre-purified pulp suspension, where the hydrolyzing agent is added to the pulp suspension in the form of an enzyme before and / or after the pre-purification; c) Supply the pre-purified and temperature-controlled pulp suspension to the reactor tank (4,4'); d) Hydrolyzing the purified pulp suspension (4,4') in the reactor tank (4,4') at a temperature between 40 and 70°C under controlled mixing using a stirring member (7); e) Inactivating the enzyme in the reactor tank by heating the hydrolyzed and pre-purified pulp suspension to a temperature of >80°C; f) Cooling the hydrolyzed and pre-purified pulp suspension; g) Discharge the hydrolyzed and pre-purified pulp suspension and subject it to further mechanical treatment to obtain MFC.

The application discloses a cerium nanoscale enzyme composite active material and application thereof in liver failure treatment, and belongs to the technical field of nanomaterials. The application combines miR122 and cerium dioxide nanoscale enzyme functions, develops a new stem cell differentiation inducer, i.e., a cerium nanoscale enzyme composite active material, and deeply studies the potential mechanism of catalytically active nanoscale enzyme material in regulating stem cell fate. After modification, the cerium dioxide nanoscale enzyme can be used for delivering miR122 into stem cells, so that miR122 is highly enriched in cells, thereby inducing liver differentiation. Meanwhile, the catalytic activity of the cerium dioxide nanoscale enzyme can regulate intracellular ROS homeostasis, protect mitochondria from ROS-induced damage, thereby maintaining mitochondrial function and meeting the energy demand in the differentiation process, which is crucial for the successful differentiation of stem cells. In order to solve the problem of impaired viability in hepatocyte transplantation, it is proposed to coat a layer of Ce 4+ -polyphenol skeleton on the surface of induced hepatocyte-like cells (iHLCs), further protecting the function and viability of hepatocytes after transplantation, and improving the in-vivo treatment effect.

This invention discloses a small molecule peptide derived from *Hirudo medicinalis*, with the amino acid sequence Leu-Leu-Phe-Arg. The peptide was obtained by enzymatically hydrolyzing the waste protein residue after purifying hirudin from *Hirudo medicinalis*, combined with tyrosinase-functionalized magnetic bead affinity fishing technology and mass spectrometry identification. In vitro kinetics and molecular dynamics simulations confirmed that the peptide LLFR significantly prolongs the lag time of monophenolase reactions. It penetrates the catalytic pocket of tyrosinase through an "induced fit" mechanism, forming a stable dead-end complex with the enzyme and inducing the unfolding of the enzyme's tertiary structure. Cell experiments confirmed that LLFR significantly inhibits tyrosinase activity and melanin synthesis in melanoma cells without significant cytotoxicity. This peptide exhibits high safety and good water solubility, providing a new approach for the high-value utilization of industrial waste from *Hirudo medicinalis*, and is suitable for the industrial production of whitening cosmetics and functional products.

The invention provides an efficient base editing system and a preparation method and application thereof. Specifically, the invention provides a fusion protein which comprises a nuclease structural domain and an editing enzyme structural domain, wherein the editing enzyme structural domain is inserted into an insertion site in the nuclease structural domain, and the nuclease structural domain in the fusion protein has a nuclease function; the editing enzyme structural domain in the fusion protein has an editing enzyme function; the nuclease structural domain is derived from a Cas protein or a Cas protein mutant. According to the present invention, based on activation induction cytosine deaminase AID, a novel AID mutant with characteristics of short sequence and high base editing efficiency is screened, and then the high-activity AID mutant is randomly inserted into nSaCas9 (D10A) KKH so as to successfully screen the novel cytosine base editor EB-TAM with characteristics of high base editing efficiency, wide editing range and narrow editing range.

The application belongs to the field of intelligent cell biological recognition, and relates to a multi-level enzyme function prediction method based on multi-view deep interaction learning. The main process of the method is as follows: firstly, enzyme sequences are converted into a combination view of solvent accessibility and secondary structure, a PSSM view containing evolutionary information and a domain view, so as to construct initial multi-view feature data; then, the above three original views are input into different deep specificity network modules to obtain deep specificity information of each view; further, a deep view interaction network is designed to extract interaction information between views; finally, the specificity information of each view and the interaction information thereof are introduced into a subsequent multi-view adaptive loss weighting classification module for collaborative training, so that a final prediction model is trained.

The present application belongs to the field of intelligent cell biological recognition, and particularly relates to a multi-view enzyme function prediction method considering molecular structure and sequence mining. The method comprises four stages of initial enzyme feature construction, deep enzyme sequence feature construction, deep enzyme structure feature construction, and model training and prediction based on a TSK fuzzy system. The method regards the structure features and sequence features of enzymes as two different perspectives, extracts, crosses and discriminates information from different modes through a newly constructed multi-view deep network, mines the complementary and consistent information between multi-view enzyme data, trains multi-view features using a multi-view TSK fuzzy system model, and thus realizes the final enzyme function prediction. The method considers the sequence features and structure features of enzymes, makes the prediction information more complete, and relearns the sequence and structure features of enzymes in the new network through the TSK fuzzy system.

This invention discloses a method for regulating the activity of recombinant nucleases, belonging to the field of recombinant nuclease technology. The method involves cleaving the glycine-rich flexible linker peptide (Gly) in recombinant LbCas12a and LwCas13a nucleases using lysozyme (Lst). 4‑8 and (G4S) 1‑2 The method releases a fusion tag that influences nuclease activity, successfully enhancing the trans-cleavage activity of two nucleases. Lysocystis enzyme functions effectively over a wide temperature range (4–50°C) or alkaline conditions (pH 7.0–10.0), and is tolerant of certain concentrations of salt ions (20–500 mM). This method fills the gaps in current techniques, providing a new and convenient tool for regulating enzyme activity in recombinant nuclease research.

The invention belongs to the technical field of crossing of medical instruments and nanometer biotechnology, and particularly relates to a nanometer enzyme functionalized acupuncture needle and a preparation method and application thereof.The surface of a needle body of the acupuncture needle is fixedly provided with palladium nanoparticles through a polydopamine adhesion layer, and a composite coating is formed; the palladium nanoparticles have catalase-like and superoxide dismutase-like activities, and are used as carriers to load hydrogen and a therapeutic drug tolbuzumab. The preparation method comprises the steps of polydopamine coating deposition, palladium nanoparticle in-situ reduction, hydrogen loading and drug loading. When electrical stimulation is applied, the acupuncture needle can synergistically enhance enzyme activity, controllably release hydrogen and drugs and regulate and control pyroptosis of cells in a multi-channel mode, so that the acupuncture needle is used for preparing medical instruments for treating rheumatoid arthritis and has the advantages of being high in local effect and small in system side effect.

The invention discloses a medicago sativa salt-tolerant protein, a gene and a preparation method and application thereof, and relates to the field of biological agriculture, the protein is medicago sativa pectin methylesterase MsPME2 or a variant protein with the same enzyme function as the medicago sativa pectin methylesterase MsPME2, the gene encodes the protein, and the preparation is obtained based on cDNA amplification. The gene is transferred into medicago sativa to improve the salt tolerance, the invention provides the gene of the salt-tolerant medicago sativa variety and the application method of the gene, and the gene can be used for breeding the salt-tolerant medicago sativa.

The invention discloses an enzyme targeted response type glycoside oxetane chemiluminescent reagent and application thereof in the field of tumor imaging. A phenol adamantane 1, 2-dioxetane functional group is structurally modified, a specific biological enzyme response group and a benzyl fluorine bridging group are introduced, an enzyme digestion reaction is performed to leave a fluorine group to generate an ortho-quinone methyl intermediate, the ortho-quinone methyl intermediate and biological macromolecules such as serum protein are further bonded to form a compound, and then strong chemiluminescence is generated. The chemiluminescence real-time tracking specific enzyme function is realized, and the chemiluminescence real-time tracking specific enzyme function is applied to tracking of diseases with abnormal specific enzyme function, and has important application potential in the fields of tumor imaging, tumor operation excision visualization and the like.