65 results about "Metabolic network" patented technology

The invention relates to a construction method of escherichia coli engineering bacteria with high yield of N-acetylglucosamine. According to the method, the metabolic network of escherichia coli is directionally modified through metabolic engineering, the problems of'product re-decomposition ', by-product accumulation, poor genetic stability and the like of natural strains are solved, and efficient industrial production of GlcNAc is realized.

The disclosed multiscale framework includes innovatively coupling genome-scale metabolic models with an agent-based model and an adapted continuum model of the biofilm; employing a systematic bottom-up approach to identify interrelationships between local substrate and mediator transport and the dynamic biofilm characteristics; and elucidating the interdependence of genomic data and microscale biofilm properties, thereby enabling a deeper understanding of the behavior of species within the biofilm.

This invention provides a method for hypertension risk assessment, relating to the field of epigenetic detection technology. It includes: performing event alignment and residual modeling on a qualified signal set to establish a base probability at the locus level and forming baseline features through neighborhood consistency screening; constructing a tunneling sensitization model and contextual attention, fusing discriminative and generative evidence to obtain enhanced features; quantifying IGF2BP3 and aligning and fusing it with the enhanced features; constructing an IGF2BP3-mediated metabolic network based on this, performing time-series modeling and stability assessment, and extracting final-state features; fusing the final-state risk vector with multi-gene scores to complete adaptive grading and compliant report generation. This method is robust, interpretable, and easy to deploy.

The invention discloses a method for improving yield of branched chain aldehyde of lactococcus lactis based on regulation and control of a luxS gene and application, and belongs to the field of system biology. Gene function verification and genome scale metabolic network model analysis are creatively combined, the phenotypic effect of the luxS gene is confirmed, and more importantly, the internal action mechanism of the luxS gene is disclosed from the system level, that is, the whole metabolic network flow is influenced by regulating and controlling multiple key enzymes such as transaminase, decarboxylase, dehydrogenase and decarboxylase. The invention reveals that the quorum sensing core gene luxS has a new function of regulating and controlling synthesis of branched chain aldehyde in lactococcus lactis for the first time, and an intercellular communication system is directly linked with production of specific flavor metabolites. The invention provides a brand-new and higher-level regulation target and thought for producing flavor substances by microbial fermentation, and gets rid of the limitation that only metabolic pathway terminal enzyme is singly modified traditionally.

The embodiment of the invention discloses a construction method of a multi-source organic solid waste whole-process substance flow and energy flow metabolic network diagram and a related device. A basic theoretical analysis and research framework is set up; constructing an urban typical organic solid waste material flow model according to the basic theoretical analysis and research framework; and according to the urban typical organic solid waste material flow model, constructing a Yifen city typical organic solid waste metabolic network. It can be seen that the embodiment of the invention is beneficial for solving the following problems: 1, composition and characteristics of the organic solid waste can be better understood by establishing a substance flow and energy flow metabolic network diagram, so that a more efficient and more economical treatment process is designed; 2, through the metabolic network diagram, the influence of the organic solid waste treatment process on the environment can be better known, so that measures are taken to reduce the influence of the organic solid waste on the environment.

The invention relates to the field of food biotechnology and fermentation engineering, and discloses lipid-lowering health-preserving vinegar capable of strengthening an amino acid metabolic pathway and a preparation process thereof, and the lipid-lowering health-preserving vinegar capable of strengthening the amino acid metabolic pathway is prepared by fermenting soybean protein isolate, silkworm chrysalis protein powder, broken rice, oat bran, a metabolism anchoring regulation composite emulsion and a plant extract. According to the metabolism anchoring regulation composite emulsion, carrier oligopeptide, pyridoxal-5-phosphoric acid and metal ions are utilized to construct a coordination system, and the microbial amino acid metabolism flow direction is directionally regulated. The preparation process is completed by adopting lactobacillus plantarum and acetobacter pasteurianus through anaerobic-aerobic variable-temperature variable-dissolved-oxygen coupling fermentation. Through a metabolic network intervention strategy, the enrichment efficiency of gamma-aminobutyric acid and hydrophobic active oligopeptide in the finished product is remarkably improved, and the flavor of the product is improved, so that the table vinegar is endowed with stronger auxiliary lipid-lowering and pressure-lowering effects.

The invention relates to a method for efficiently synthesizing lysine by corynebacterium glutamicum based on multi-level metabolism reconstruction, and belongs to the technical field of metabolic engineering. The method is not limited to single gene or single path transformation, but carries out system integrated regulation and control from multiple levels of lysine main synthesis pathway, central carbon metabolism redistribution, by-product synthesis inhibition and lysine transport and tolerance mechanism, and constructs a ''flux-energy-tolerance'' synergistically matched integral metabolism network; the method is a fundamental technical framework for realizing 240g / L high yield. On the premise that genetic stability of engineering bacteria and controllability of the fermentation process are guaranteed, stable and efficient synthesis of lysine under the high-density fermentation condition is achieved, the final fermentation concentration of lysine stably reaches 240 g / L or above, meanwhile, high carbon source conversion efficiency and low by-product generation level are both considered, and the method is suitable for industrial production. Therefore, the technical bottleneck that the existing lysine biological manufacturing technology is limited to the platform stage of yield of about 200 g / L for a long time is broken through.

The application discloses a kind of based on multi-omics deep learning colorectal cancer liver metastasis detection method and system, comprising: extracting the feature gene group with CRC transfer-metabolic dual function, and construct CRC transfer risk prediction model foundation, based on analysis CRC transfer risk probability to screen the molecular marker with CRC transfer nature and CRLM specific characteristics as initial candidate biomarker;Meanwhile, from the metabolome to obtain the differential expression metabolite corresponding to CRLM patient sample and LCRC patient sample metabolome, and the enrichment pathway analysis of transcriptome and metabolome is combined to construct CRLM multi-layer core metabolic network, for the screening core biomarker of colorectal cancer liver metastasis accurate detection in accordance with, entire method can effectively screen the biomarker for detecting colorectal cancer liver metastasis.

The invention relates to the technical field of neonatal inherited metabolic disease screening, and discloses a neonatal inherited metabolic disease screening auxiliary system. The system comprises a multi-source information acquisition module, an information standardization module, a dynamic metabolism image construction module, an anomaly detection and analysis module and a screening management optimization module. The system integrates blood metabolites, gene variation, clinical signs and other multi-source information of newborns, constructs a metabolic function image showing dynamic changes and interaction relations of the metabolites, recognizes metabolic abnormality areas and development situations according to the metabolic function image, and generates a personalized screening management plan. Metabolic network visualization analysis is realized through a dynamic image, and an anomaly detection algorithm is continuously optimized by utilizing planned execution feedback data. According to the system, the trend evaluation of the metabolic state and the self-adaptive iteration of the screening strategy are realized, and the screening accuracy and the management individualization level are improved.

The invention provides a medical image classification model training method and system, a medical image classification method, equipment and a medium, and the method comprises the steps: carrying out the time-sequence feature extraction of a time sequence of a resting-state functional medical image through an encoder, so as to obtain the multi-scale features of the resting-state functional medical image; performing feature extraction processing on the metabolic network of the functional state medical image to obtain features of the functional state medical image; processing the multi-scale features and the features of the functional state medical image by using an adapter to obtain feature pairs of the resting state functional medical image and the functional metabolism medical image; performing constraint processing on each feature pair by using comparative learning to obtain an aligned feature pair; and training the initial model by using the aligned features, and performing group-level modal distillation processing on the initial model to obtain a medical image classification model. According to the medical image classification model training method, the flexibility and robustness of cross-modal feature fusion can be improved.

This invention, based on the screening and identification of environmental exocomics and metabolomics biomarkers associated with ischemic stroke, discloses an ischemic stroke risk assessment model and model construction method that integrates environmental exocomics and metabolomics biomarkers, improving the comprehensiveness, accuracy, and convenience of prediction. This invention systematically evaluates the association between exposure to mixed organic pollutants and the risk of ischemic stroke, identifying key pollutants; quantifies the impact of pollutant mixtures on the systemic metabolic network and stroke risk, revealing the mediating role of metabolic pathway disorders in pollutant-induced stroke risk; explores the potential of incorporating pollutant exposure information into clinical prediction models to improve the efficacy of ischemic stroke risk stratification, ultimately providing systematic multi-omics evidence for the causal relationship between environmental pollution and ischemic stroke, and offering new technical tools for precision disease prevention.

The invention belongs to the field of microbial engineering, and provides a gentamicin C1a high-yield biological manufacturing method based on metabolic network modeling and reverse metabolic engineering renovation, which comprises the following steps: S1, constructing a genome scale metabolic model of a target production strain, predicting and screening a first target gene in positive correlation with gentamicin biosynthesis by using the model; s2, performing whole genome sequencing on the gentamicin high-yield mutant strain, and identifying a second target gene related to the high-yield character through comparative genomics analysis; s3, combining the first target gene predicted in the step S1 and the second target gene identified in the step S2, and constructing to obtain a recombinant engineering strain; s4, carrying out fermentation culture on the recombinant engineering strain, and supplementing materials in the fermentation process; by remarkably improving the production efficiency and strain performance of gentamicin C1a, important technical support and theoretical basis are provided for green biological manufacturing of antibiotics.

The invention belongs to the technical field of gene therapy and biological medicine, and particularly provides application of leucine in preparation of a medicine for preventing and / or treating aortic aneurysm. The leucine is independently used or is combined with other medicines for preventing and / or treating aortic aneurysm. The activity of GLUD1 is enhanced through leucine, so that conversion of Glu to alpha-KG is promoted, degradation of Glu is promoted, namely, the Glu level is reduced by enhancing degradation of Glu, and aortic aneurysm is improved. In a Glu metabolic network, Gln can be converted into Glu under the action of glutaminase 1 (GLS1), so that the generation of Glu is inhibited by inhibiting the activity of GLS1, and the effect of preventing and / or treating aortic aneurysm is achieved.

The invention relates to the technical field of intelligent breeding, and discloses a sugarcane filial generation phenotype prediction and evaluation system, which comprises a genetic effect decomposition module, a metabolic pathway constraint module, a dynamic sensitivity bridging matrix construction module and a dynamic constraint optimization module which are sequentially executed and mutually coupled, wherein the metabolic pathway constraint module is used for executing flux equilibrium analysis based on a sugarcane core metabolic network and upper and lower bounds of enzyme activity mapped by parent QTL (Quantitative Trait Loci), generating an optimal flux solution of parents and constructing a filial generation flux feasible region; and solving an optimal phenotype trajectory by adopting sequential quadratic programming and calculating a comprehensive evaluation index. In the invention, a three-order epistatic tensor is constructed through a genetic effect decomposition module, tensor decomposition is carried out, an epistatic contribution vector of a parent is extracted, and a hybrid progeny flux feasible region is generated by combining flux equilibrium analysis of a metabolic pathway constraint module, so that a system can quantify a non-additive genetic effect and metabolic constraint before hybridization; and phenotype prediction is separated from field measured data dependence.

The invention discloses a colorectal cancer liver metastasis detection method and system based on multi-omics deep learning, and the method comprises the steps: extracting a characteristic gene group with CRC metastasis-metabolism dual functions, and on the basis of constructing a CRC metastasis risk prediction model, screening molecular markers with CRC metastasis general and CRLM specific characteristics based on the analysis of CRC metastasis risk probability, the biomarker is used as an initial candidate biomarker; meanwhile, a CRLM patient sample and differential expression metabolites corresponding to an LCRC patient sample metabolome are obtained from a metabolome, and a CRLM multilayer core metabolic network is constructed in combination with enrichment pathway analysis of a transcriptome and the metabolome, so that core biomarkers are screened for accurate detection of colorectal cancer liver metastasis; the whole method can effectively screen the biomarker beneficial to detection of colorectal cancer liver metastasis.

The invention relates to the field of genetic engineering and bioengineering, in particular to engineering algae capable of synthesizing alpha-farnesene and a preparation method of the engineering algae. An MEP metabolic network of synechocystis PCC 6803 is modified, through single-copy series recombination and multi-copy combination of dxs, ispA, idi and AFS genes, optimization of a farnesene MEP metabolic pathway is achieved, the carbon flux of oriented synthesis of farnesene is precisely regulated and controlled, under the optimal effect, the yield of alpha-farnesene within 9 days is 83.07 mg / L (25.82 mg / g DCW), and economic application value is achieved.

The invention belongs to the field of analytical chemistry, and provides a method for simultaneously determining 10 tryptophan metabolites through liquid chromatography-mass spectrometry, differentiated pretreatment schemes are designed aiming at different biological matrixes such as excrement, serum, colon tissue and NCM460 inflammatory cells through a liquid chromatography-tandem mass spectrometry technology, matrix interference is effectively eliminated, and the method for simultaneously determining 10 tryptophan metabolites through liquid chromatography-mass spectrometry is provided. A quantitative analysis method with high sensitivity and high selectivity is established; the method is successfully applied to an ulcerative colitis (UC) rat model and a lipopolysaccharide (LPS)-induced NCM460 inflammation model, and a technical means is provided for revealing a metabolic regulation mechanism of medicine intervention on UC; the method solves the technical problem that various metabolites in a tryptophan metabolic pathway are difficult to detect in the prior art, is suitable for metabolic mechanism research, drug intervention effect evaluation and large-scale detection of clinical samples of inflammatory bowel diseases such as UC, and provides a technical basis for systematic research of a tryptophan metabolic network.

This invention discloses a desmethylmenoprenone methyltransferase mutant, its construction method, and its applications, belonging to the field of biotechnology. Desmethylmenoprenone methyltransferase is a key enzyme in the MK-7 biosynthetic pathway, responsible for catalyzing the methylation reaction of desmethylmenoprenone to generate a series of methylnaphthoquinone (MK) products, ultimately forming MK-7. This invention, through metabolic network regulation and rational design, successfully obtained 19 single-point mutants, among which 5 mutants showed significantly higher catalytic efficiency than the wild-type enzyme. Experimental results show that the recombinant engineered bacteria constructed based on these mutants exhibit significant advantages in the whole-cell catalytic production of vitamin K2 (MK-7), with MK-7 yield increased by more than 20% compared to the wild-type strain. The excellent catalytic performance of the menG mutant provided by this invention provides strong technical support for the industrial production of vitamin K2, and has broad application prospects and market value.

This invention belongs to the field of biotechnology, specifically relating to a *Pseudomonas putida* genome insertion site library and its construction method. This invention, for the first time, systematically screened and obtained 17 specific genome insertion sites suitable for *Pseudomonas putida*. The constructed insertion site library covers different expression intensities, filling the gap in existing technologies lacking efficient integration sites for *Pseudomonas putida*, and providing diverse options for personalized expression of target genes. The screened insertion sites are all located in the regions of opposing transcription genes, avoiding interference with the host's basal metabolic network. The recombinant strain exhibits stable growth performance without significant growth inhibition, making it suitable for large-scale industrial applications. The integration method, based on homologous recombination, achieves stable integration of the target gene without plasmid maintenance, avoiding expression instability caused by plasmid loss and copy number fluctuations. It also reduces the continuous use of antibiotics, lowering industrialization costs and environmental risks, and the construction method is simple and efficient.

This invention discloses a kidney stone risk prediction system based on big data, belonging to the field of risk prediction technology. Specifically, it includes: collecting electronic medical records, historical dietary questionnaires, and water quality mineral content data of the target area population; constructing a multidimensional heterogeneous dataset containing physiological and biochemical indicators, dietary structure characteristics, and environmental water quality factors; establishing a mapping relationship between dietary components and urine solute concentration; converting discrete dietary records into continuous time-series vectors and fusing them with water hardness coefficients; subsequently, mining lag response patterns through metabolic network association analysis to construct a metabolic response knowledge graph; simulating the solute precipitation process based on this graph, calculating dynamic supersaturation, and generating a crystallization saturation potential energy curve; finally, inputting the curve into a temporal convolutional neural network to extract features to predict the probability of kidney stone crystal aggregation within a specific future time window for an individual.

The present application relates to a kind of skin care composition and its application for quickly relieving sensitive skin hot red, enhancing skin tolerance, belong to the field of cosmetics.The raw materials of the skin care composition include schisandra chinensis extract, stachyose, Cynara scolymus leaf extract, red clover flower extract and citrus fruit extract five kinds of active ingredients, through the cross regulation of multiple target signal pathways, the complementary synergies of different action links and the overall coordination of metabolic network, form the synergistic amplification effect of "heat elimination and detoxification, slow down hot feeling, converge pores, enhance skin immunity".

The present application belongs to the environmental governance technical field, and particularly relates to a method for removing Microcystis aeruginosa by using rose Bengal. Rose Bengal is added in an environment containing Microcystis aeruginosa; the final concentration of rose Bengal is 5 mg / L-10 mg / L, and Microcystis aeruginosa is removed under visible light. After adding rose Bengal, the highest algae density can remove 85.37% of Microcystis aeruginosa; at 168 h, the effect of stably inhibiting Microcystis aeruginosa is still maintained. The present application discloses a mild drug control mode by using the characteristics of high singlet oxygen yield of RB to target damage the photosynthetic system and core metabolic pathway of Microcystis aeruginosa, and discloses a three-damage mechanism of physiological and biochemical, photosynthetic system and metabolic network of RB photodynamic algae inhibition.

Disclosed are gene engineering bacteria for producing L-arginine and a construction method and an application of the gene engineering bacteria. According to the method, genes encoding a carbamoyl phosphate synthetase and a gene encoding an L-arginine biosynthesis pathway enzyme are integrated into Escherichia coli; the present invention has analyzed and reconstructed the arginine synthetic pathway and the metabolic flow related to arginine in the entire amino acid metabolic network in E. coli and finally obtained a genetically engineered bacterial strain which has a clear genetic background, carries no plasmids, undergoes no mutagenesis and is capable of stably and efficiently producing L-arginine.

The present application relates to the field of bioengineering, and particularly relates to genome, expression module, recombinant strain and application thereof in preparation of rhodiolin. The present application provides a genome comprising one or more of expression gene, knockout gene, overexpression gene and inhibition gene. The present application constructs a strain capable of utilizing sugarcane molasses as the only carbon source to generate rhodiolin, thereby reducing the cost of materials; then the metabolic network of the microorganism is restructured through metabolic engineering, the metabolic flow is optimized, the metabolic flux among different metabolic modules is reasonably distributed, and the efficient synthesis of the target product is promoted; finally, the mining and screening of enzymes are crucial, the enzymes with higher activity and higher specificity for specific substrates are mined and screened based on the combination of the trained large language model and the machine learning model and the structural information of the substrates, which significantly improves the titer and conversion rate of rhodiolin generation, and at the same time, reduces the generation of by-products and the accumulation of precursor substances, and will promote the large-scale production and application of rhodiolin.

The present invention relates to a method for developing genetically encoded fluorescent indicators based on orphan bacterial proteins. This approach uses a high-yield, unbiased method to identify orphan protein effectors or ligands. The technique is based on detecting variations in the spectroscopic signal that are due to the interaction of a test molecule with a protein, which is fused with one or two fluorescent proteins. The method can be implemented using purified proteins from systems such as bacteria, yeasts, insects or mammal cells, or using fusion proteins targeting the periplasm of Escherichia coli. The assessment is performed by optical system readers in 96- or 384-well formats, which allows for an efficient and scalable analysis. Once the specific ligand has been identified, the corresponding bacterial protein serves as a scaffold to design genetically encoded fluorescent indicators. The method incorporates a bioinformatic algorithm that facilitates the identification of orphan protein families based on genome or metagenome resources. These proteins are subsequently fused with fluorescent proteins and are assessed by comparing them with molecule libraries in order to determine their functionality. This approach allows the functional annotation of orphan proteins as transcription factors or periplasmic proteins, and their use in designing, developing and optimising fluorescent indicators. As a result, the ability to monitor emerging metabolites and metabolic networks with high precision and specificity is improved, in addition to facilitating the development of protocols to detect biomedically relevant molecules in biological fluids.

The application provides a rhodioloside production strain and a construction method and application thereof, the strain lacks tyrR, feaB, ldhA, ushA, pykF genes, up-regulates tktA , aroG fbr 、 tyrA fbr、 pgm, galU, gntK the transcription level of a gene, and heterologously introduces a TDC gene from Lactobacillus brevis, a TYO gene from Micrococcus luteus, a ARO10 gene from Saccharomyces cerevisiae, and a ADH6 gene, heterologously introduces a GDH gene from Bacillus and a sugar transferase Oft8gt1 gene from Osmanthus fragrans; the construction method is to reconstruct the metabolic network of Escherichia coli to rhodioloside through metabolic engineering and genetic engineering means, which can effectively utilize glucose to synthesize rhodioloside from scratch, improve the production level of rhodioloside, and lay a solid foundation for the industrialized scale production thereof.

The invention relates to a dactylicapnos root O-methyltransferase DsOMT018 gene and application thereof, and belongs to the technical field of biology. The nucleotide sequence of the DsOMT018 gene is shown as SEQ ID NO.1, the amino acid sequence of the encoded protein of the DsOMT018 gene is shown as SEQ ID NO.2, and the DsOMT018 gene can be used for preparing isocorydine and corydine. The separation and identification of the DsOMT018 not only breaks through the technical bottleneck of non-model plant gene mining, but also provides a new normal form for sustainable manufacturing of high-added-value alkaloids through full-chain innovation of'precise catalysis-metabolic network-green production '. The advantages of the isocorydine and corydine in synthesis of isocorydine and corydine can promote the leap-wise development of the fields of natural medicine development and synthetic biology.

The invention relates to the technical field of heparin precursor polysaccharides, and discloses a heparin precursor polysaccharide efficient exocytosis genetically engineered bacterium as well as a construction method and application thereof. According to the invention, a CRISPR-Cas9 mediated gene editing technology is utilized to increase the copy number of a glmS-kfiD expression cassette in an escherichia coli genome, and the synthesis of a heparin precursor and a polysaccharide precursor is enhanced; then overexpressing two glycosyl transferase genes, namely a kfiA gene and a kfiC gene, so as to accelerate the synthesis and extension of a heparin precursor polysaccharide chain; the kpsS gene, the kpsT gene and the kpsM gene which can synchronously reinforce a heparin precursor polysaccharide transport system are obtained through screening, and the kpsS gene, the kpsT gene and the kpsM gene obtained through screening can achieve a synergistic effect to reduce intracellular accumulation of heparin precursor polysaccharide precursors, so that a donor synthesis-chain extension-transmembrane transport three-level metabolic network is formed. Finally, an EcN gene engineering strain capable of promoting exocytosis of the heparin precursor polysaccharide so as to efficiently synthesize the heparin precursor polysaccharide is constructed.

The invention discloses an intelligent management and control integrated system and method for brewing low-alcohol glutinous rice wine. The system comprises a sensing unit used for collecting multi-dimensional data such as flora, metabolic activity and physical and chemical parameters of fermentation mash in real time; the mechanism-data fusion control model is used for solving coupled kinetic equations of microbial growth, metabolic flow distribution and flavor substance synthesis on line, dynamically deducing a fermentation state and a quality trend and generating a regulation and control instruction set; and the execution module is used for synchronously executing flora regulation and control, physicochemical parameter regulation and control and metabolism guide instructions. Through cooperation of the modules, active prediction and guidance of a microbial metabolism network are realized, brewing control is fundamentally improved to a new normal form of intelligent regulation and control of an internal metabolism process from traditional environmental parameter tracking, and the alcoholic strength control precision, the flavor stability and the production batch consistency are remarkably improved.