302 results about "Biological process" patented technology

The invention relates to a method and a system for constructing a dynamic gene regulation network, computer equipment, a computer readable storage medium, a computer program product and a computer program. The method comprises the following steps: constructing a plurality of single cell quasi-time sequence differentiation trajectories based on single cell transcriptome data of a plurality of single cells; determining a dynamic change gene in a target quasi-timing sequence differentiation trajectory based on the plurality of single cell quasi-timing sequence differentiation trajectories; constructing an initial static gene interaction network based on the dynamic change gene; and performing inspection based on the initial static gene interaction network to obtain the dynamic gene regulation network. According to the method, key gene regulation mechanisms corresponding to different differentiation stages of the cells can be rapidly determined, and the real dynamic change condition of the gene regulation relationship in the biological process is reflected.

The invention relates to the technical field of water, waste water, sewage or sludge treatment, and particularly provides a constructed wetland operation state monitoring method and system.The method comprises the steps that based on a distributed sensing node array, water flow permeation rates, medium temperature gradients and dissolved matter concentration distribution of different depths and areas of a constructed wetland are collected in real time; generating a three-dimensional dynamic thermodynamic-substance diffusion map; extracting an actual flux difference value of an input-output cross section, and calculating the deviation degree between the current actual load and the theoretical purification capacity by combining the actual flux difference value with the historical adsorption capacity of the wetland medium; and integrating the historical load data with a current early warning report corresponding to the deviation degree, constructing a medium metabolism efficiency attenuation curve, predicting the saturation adsorption periods of matrixes in different regions, and reversely deducing an optimal maintenance node. The system comprises a map generation module, a deviation degree calculation module and a period prediction module. According to the method, discrete physical-chemical-biological process parameters are converted into a continuous decision flow through a space-time coupling model.

The invention features compounds (e.g., macrocyclic compounds) capable of modulating biological processes, for example through binding to a presenter protein (e.g., a member of the FKBP family, a member of the cyclophilin family, or PIN1) and a target protein (e.g., a eukaryotic target protein such as a mammalian target protein or a fungal target protein or a prokaryotic target protein such as a bacterial target protein). These compounds bind endogenous intracellular presenter proteins, such as the FKBPs or cyclophilins, and the resulting binary complexes selectively bind and modulate the activity of intracellular target proteins. Formation of a tripartite complex among the presenter protein, the compound, and the target protein is driven by both protein-compound and protein-protein interactions, and both are required for modulation of the targeted protein's activity. In some embodiments, the compounds of the invention “re-program” the binding of the presenter proteins to protein targets that either do not normally bind to the presenter protein (e.g., do not show detectable binding in mammalian cells absent the compound). In some embodiments, provided compounds “re-program” presenter protein binding to greatly enhance interaction with a particular target with which it may have some interaction absent the compound. Interactions achieved through such reprogramming result in an ability to modulate the activity of these new targets.

The invention relates to a reactor for carrying out chemical or biological processes comprising a tank and at least one stirrer, wherein each stirrer comprises at least two propeller blades (5) which form a propeller (1), each propeller blade (5) being looped, wherein a tip (7) of a leading propeller blade (5) is curved back into its trailing propeller blade (5), into the hub or into the backside of the same propeller blade. The invention further relates to a process for cultivating cells or multicellular microorganisms using the reactor and a process for producing a stirrer.

The invention relates to the technical field of biological process intelligent control, and discloses a pomegranate leaf fermentation process optimization and intelligent control system based on digital twinning. According to the system, the Internet of Things and a visual sensor are integrated through a multi-source data sensing module, so that synchronous acquisition and fusion of temperature, pH, dissolved oxygen, flora density and image data are realized; the intelligent data preprocessing module extracts high-quality features by adopting a self-adaptive filtering technology; the digital twin simulation engine module drives the virtual model to dynamically update based on real-time data; the deep prediction module accurately predicts the fermentation trend through a deep learning algorithm; the intelligent diagnosis module realizes abnormal root cause analysis by using a knowledge graph; the reinforcement learning optimization module autonomously generates an optimal control strategy based on the diagnosis result; and the self-adaptive execution module accurately regulates and controls fermentation parameters. According to the system, multi-dimensional perception, high-precision prediction and adaptive optimization control of the fermentation process are realized, and the accuracy and stability of process control are effectively improved.

The invention discloses methanogen lyase homologous with a PeiR lyase sequence and application of the methanogen lyase, and aims to solve the problem that PeiR lyase protein of a methanogen cell wall peptide bond can participate in a biological process of hydrolyzing archaea cell walls, effectively kill methanogen and reduce methane production, and protein homologous with the PeiR lyase protein has potential methane reduction potential. According to the invention, a series of biological information software is utilized to identify protein sequences coded by methanogens virus from rumen microbiome sequencing data, and sequence homology between the proteins and PeiR protein is further analyzed to obtain a series of methanogens lyases. In order to realize the expression of the lyase, multiple segments of primers are designed to synthesize a target sequence, and the target sequence is successfully expressed in a prokaryotic expression system. Through the detection of crude enzyme liquid, the effectiveness of the lyase in the aspect of reducing the methane yield is verified in an in-vitro gas production test.

The invention relates to the technical field of microorganism monitoring, and particularly discloses a wetland microorganism activity monitoring method and system.The method comprises the steps that a plurality of first time sequence data sets of different layers and related to different wetland state parameters are obtained; analyzing and acquiring a parameter change mode of each layer according to the first time sequence data set; similarity matching is carried out based on the parameter change mode and a pre-constructed parameter correlation model library, so that microbial metabolism modes of different layers are determined; determining an activity evaluation mode of the microorganisms in the corresponding layer based on a microorganism metabolism mode; generating an activity evaluation result according to the activity evaluation mode and the first time sequence data set; according to the method, the biological action signal and the non-biological process signal are distinguished, the evaluation accuracy is improved, the activity evaluation mode corresponding to the metabolism mode is determined based on the identified metabolism mode, and the difference of evaluating the activity of microorganisms in different metabolism pathways by adopting one index is avoided.

The invention provides application of ancient-Chinese health-preserving essence in preparation of a protein regulating agent, and belongs to the technical field of biological medicines. The invention provides application of an ancient-Chinese health-preserving essence or an ancient-Chinese health-preserving essence extract in preparation of a reagent for regulating protein functions. Protein comprises at least one of NCAM2, NCAM1, MAP2, VGLUT1, CDK5, DCLK1, TUBB3 and apolipoprotein E. The invention also provides an application of the ancient-Chinese health-preserving essence or the ancient-Chinese health-preserving essence extract in preparation of a reagent for regulating protein functions. In ancient and Chinese health preserving essence positive feedback regulation proteins, an important nerve synaptic function network exists and comprises proteins such as NCAM2, NCAM1, MAP2 and the like, and the proteins play an important role in biological processes such as neural development, synaptic shaping, neural signal transmission and the like. In addition, the ancient-Chinese health-preserving essence can regulate the expression of APOE. The application of the invention not only helps to deepen the scientific understanding of the pharmacodynamic effect of the ancient-Chinese health-preserving essence, but also provides a theoretical basis for the modern and precise application of traditional Chinese medicine compounds.

The invention discloses methanogen lyase homologous with high-dimensional characteristics of PeiW lyase and application of the methanogen lyase, and aims to solve the problem that PeiW lyase protein of methanogen cell wall peptide bonds can participate in the biological process of hydrolyzing archaea cell walls, effectively kill methanogen and reduce methane production, and protein homologous with the protein has potential methane reduction potential. According to the method, a series of bioinformatics software is utilized, a protein sequence coded by methanogens virus is identified from a large amount of rumen microorganism virus group sequencing data, the high-dimensional homology of a deep learning model between the protein sequence and PeiW is analyzed, and two methanogens lyases similar to the high-dimensional characteristics obtained by the PeiW model are obtained. In order to realize the expression of the lyase, multiple segments of primers are designed to synthesize a target sequence, and the target sequence is successfully expressed in a prokaryotic expression system. Through detection of a crude enzyme solution, the effectiveness of the lyase in the aspect of reducing the yield of methane is verified in an in-vitro gas production test.

The invention discloses a method for quantifying upwelling intensity and biogeochemical process thereof based on hydrogen and oxygen isotope, which comprises the following steps: acquiring hydrological information and hydrogen and oxygen isotope value of a target sea area, and establishing a hydrogen and oxygen isotope mass balance model; based on a hydrogen and oxygen isotope mass balance model, calculating the proportion of different source water bodies in the upwelling affected zone of the target sea area, and obtaining the contribution of deep water to the upwelling affected zone; estimating the theoretical nutritive salt concentration of the upwelling affected zone based on the nutritive salt concentrations of the original surface water and the upwelling source deep water and the contribution of the deep water to the upwelling affected zone; and comparing the actually measured upwelling affected zone nutritive salt concentration with the theoretical nutritive salt concentration to obtain the contribution of the biological process of the target sea area. Based on the advantage that hydrogen and oxygen isotopes in water are tracers of water, a method for quantifying the upwelling intensity and the biogeochemical process of the upwelling intensity is developed, and a new technical method is provided for scientifically and quantitatively evaluating an upwelling ecological system.

The invention discloses methanogen lyase with the same protein family annotation as PeiR lyase and application of the methanogen lyase, and the methanogen lyase is obtained through homologous screening of Pfam protein family database annotation based on known PeiR lyase characteristics aiming at methanogen cell wall peptide bonds. The PeiR lyase protein can participate in the biological process of hydrolyzing archaea cell walls, methanogens are effectively killed, methane production is reduced, and the protein homologous with the protein has potential methane reduction potential. According to the invention, by integrating metagenome sequencing data of rumen microorganisms, screening methanogenic bacterium virus protein by using series bioinformatics software, and combining Pfam functional domain annotation to carry out homologous relationship analysis, a series of lyase is finally identified and is successfully expressed in a prokaryotic expression system, and meanwhile, an in-vitro gas production experiment result also shows that the methanogenic bacterium virus protein can be successfully expressed in a prokaryotic expression system. The crude enzyme liquid can significantly reduce the methane generation amount.

The invention discloses methanogen lyase homologous with high-dimensional characteristics of PeiR lyase and application of the methanogen lyase and aims to solve the problems that PeiR lyase protein of methanogen cell wall peptide bonds can participate in the biological process of hydrolyzing archaea cell walls, methanogen is effectively killed, methane production is reduced, and protein homologous with the protein has potential methane reduction potential. According to the invention, a series of biological information software is utilized to identify protein sequences coded by methanogen viruses from a large amount of rumen microbiome sequencing data, and high-dimensional homology between the proteins and PeiR proteins based on a deep learning model TM-Vec is further analyzed, so that a series of methanogen lyases are obtained. In order to realize the expression of the lyase, multiple segments of primers are designed to synthesize a target sequence, and the target sequence is successfully expressed in a prokaryotic expression system. Through the detection of crude enzyme liquid, the effectiveness of the lyase in the aspect of reducing the methane yield is verified in an in-vitro gas production test.

A computer-implemented method is provided for monitoring and / or controlling a chemical and / or biological process. The method comprises: obtaining (S10) a time series dataset comprising observations, each one of the observations being collected with respect to the chemical and / or biological process at a particular time point, wherein each one of the observations includes values of observed parameters obtained with a spectroscopic method at the particular time point and a value of an analyte parameter obtained with a reference measurement method at the particular time point; obtaining (S20) a prediction model for estimating a predicted value of the analyte parameter in the chemical and / or biological process, the prediction model being trained using at least part of the time series dataset; validating (S30) the prediction model by assessing an ability of the prediction model to predict a difference between an actual value of the analyte parameter which would be obtained with the reference measurement method at a given time point and an expected value of the analyte parameter at the given time point, using a set of observations that is not included in the at least part of the time series dataset used for training the prediction model; determining (S40) whether the prediction model is valid or invalid based on a result of the validating; and monitoring and / or controlling (S50) the chemical and / or biological process when the prediction model is determined to be valid.

The present disclosure, among other things, provides machine-learning technologies for identifying and localizing particular genomic elements (e.g., gene elements and / or regulatory elements) within nucleotide sequences, such as DNA and / or RNA sequences. In certain embodiments, similar to the manner in which image processing methods can be used to localize particular objects in images at pixel level resolution, referred to as “segmentation,” systems and methods of the present disclosure predict presence and locations of certain genomic elements within nucleotide sequences, thereby “segmenting” nucleotide sequences. Accordingly, genomic element segmentation technologies described herein may be used to generate annotations that identify and label portions of nucleotide sequences according to their predicted (e.g., via machine learning models described herein) function—e.g., as protein-coding genes, untranslated regions, splice sites, promotors, enhancers, etc. Among other things, these genomic annotations may be used to inform underlying biological processes driving diseases and facilitate development of new therapies.

The invention discloses a Halomonas alkaliphila NCSL-JXB2 which is a flocculating bacterium, and the preservation number of the Halomonas alkaliphila NCSL-JXB2 is CGMCC (China General Microbiological Culture Collection Center) No.33827. The invention further discloses a preparation method of the Halomonas alkaliphila NCSL-JXB2. The invention also discloses a culture method and application of the basophilic halomonas. The flocculating bacterium Halomonas alkaliphila NCSL-JXB2 disclosed by the invention can tolerate an ultra-high salt environment, is wide in salt tolerance range, can survive in an environment with the salinity of 0-25wt%, and has a good flocculation effect, and the self-flocculation rate is 66.3%. The strain can be used as a biological enhancement means to assist other biological processes, or is added together with other functional strains, or is added independently to accelerate the process starting speed, improve the operation effect of the biological process, improve the treatment efficiency of high-salt organic wastewater and reduce the operation cost.

The invention discloses a protein complex identification method based on knowledge enhancement graph comparative learning, and belongs to the technical field of bioinformatics. Edge trimming is performed by using a gene expression profile and subcellular localization data, so that a knowledge enhancement PPI network is constructed; and incorporating the molecular function and the biological process as network attributes as attributes for enhancing the network. Graph structure enhancement is applied to knowledge enhanced PPI attribute networks, and multiple perturbation views are generated with diverse random perturbation policies including edge addition, edge discarding, and feature masking to help mitigate data sparsity. A perturbation view generated by graph structure enhancement is coded through a randomized graph convolutional network layer, so that multi-scale features are extracted, key PPI interaction is reserved, and meanwhile prediction performance is improved. And finally, the original PPI network is weighted again, and the protein complex is identified by adopting a core-affiliated strategy.

The invention relates to the technical field of pest prevention and control, in particular to a method for treating pine wood nematode infected wood through poria cocos. The method comprises the following steps: cutting down current-year epidemic wood, and treating tree heads, tree trunks and boughs to complete peeling and tendon retaining treatment; uniformly cutting the trunk and the boughs into standard cut-logs; the method comprises the following steps: selecting fresh poria cocos sclerotium skin tissues as strains, and cutting according to an area greater than 50% of a cross section; pit pits are dug in the sunny slope; laying small branches on the bottom layer, placing the cut-logs in the pits, fixing the cut-logs with non-woven fabrics after inoculation, covering the upper layer with thin branches and leaves, and covering with soil; the two-stage biological process of mycelium planting, propagation expanding and pine wood nematode and medium insect killing is sequentially completed through a soil heat and moisture preservation environment; the propagation path of pine wood nematodes is blocked through the natural isolation effect of soil, deadwood obtained after poria cocos is subjected to biological verification and then smashed on site to return to forests or be made into fuel particles, and harmless and resource recycling of epidemic wood is achieved. According to the method, the problems of pine wood nematode propagation and epidemic wood treatment are synchronously solved.

The invention relates to the field of biomedicine, in particular to application of PXDC1 in preparation of a product for treating myocardial hypertrophy. The invention discloses the effectiveness of inhibiting PXDC1 expression in treating cardiac hypertrophy and controlling the occurrence and development process of the cardiac hypertrophy for the first time. The invention provides a novel drug target and strategy for treating myocardial hypertrophy, and the novel drug target and strategy can reduce the expression of a myocardial hypertrophy biomarker, reduce the size of myocardial cells, improve the ejection fraction and short axis shortening rate of the heart, reduce the weight ratio of the heart and relieve the degree of myocardial fibrosis. Besides, the invention clarifies the action mechanism of PXDC1 in myocardial hypertrophy, deepens the understanding of the pathogenesis of the disease, and lays an important foundation for further exploration of myocardial hypertrophy-related cytobiology and molecular biology processes.

The utility model discloses a modularized artificial wetland structure which comprises a wetland frame, a bottom surface impermeable layer is fixedly arranged on the inner wall of the wetland frame, a gravel layer is arranged above the bottom surface impermeable layer, a plant root system layer is arranged above the gravel layer, a filler layer is arranged between the plant root system layer and the gravel layer, and the filler layer is arranged on the bottom surface impermeable layer. A microbial layer is embedded in the filler layer, the top end of the left side of the wetland frame is communicated with a water inlet pipe, an aeration system is arranged in the wetland frame, the bottom end of the right side of the wetland frame is communicated with a water outlet pipe, and a water outlet valve is arranged on the water outlet pipe. Compared with the prior art, the sewage treatment device has the advantages that pollutants such as organic matters, nutritive salts, suspended matters and pathogens in sewage can be effectively removed through the combined action of physical, chemical and biological processes; the system mainly depends on the self-adjusting capacity of a natural ecological system, the operation energy consumption is low, and the construction and maintenance cost is relatively low.

The invention features compounds containing an aziridine moiety and methods of synthesizing the same. The compounds may be bound to a monovalent organic moiety and may be used to bind to a target (e.g., a target protein), for example, by cross-linking the target. In some embodiments, the monovalent organic moiety is capable of binding to a presenter protein. Also disclosed are complexes containing the compounds (e.g., presenter protein / compound complexes, compound / target protein complexes, or tri-complexes). Methods of forming the complexes and methods of using the compounds and complexes to modulate biological processes are also disclosed.

The present invention relates to the field of pharmaceuticals, namely to method of obtaining a product, which is a series of processed solvents, possessing an activating or suppressing effect on various physicochemical or biological processes involving the initial substance using for product obtaining or molecular target associated with it, by multiple successive external vibration treatment of the initial substance, to a product obtained by this method and separation of the product into fractions, constitutes a one or more processed solvent, possessing intrinsic physicochemical properties and regulates the physicochemical and biological processes involving the initial substance or its target molecule.

The invention discloses an imitated intercorial nano preparation for treating acute respiratory distress syndrome, and belongs to the technical field of biological medicine. The internalized nano preparation comprises an active component, a liposome phospholipid bilayer and a target head, wherein the active component consists of an ROS (reactive oxygen species) removing drug and an anti-inflammatory drug. According to the invention, efficient and accurate targeting of the nano-preparation is realized by innovatively applying an imitated interment effect, an apoptotic cell marker is modified on the surface of the liposome, and an'eat me 'signal is released to simulate a natural biological process that macrophages clear apoptotic cells to be recognized and swallowed by alveolar macrophages, so that efficient and specific targeting is realized, and the targeting effect of the nano-preparation is improved. Meanwhile, up-regulation of PS receptor expression of macrophages at the inflammation part further enhances the targeting effect, and a new way is provided for efficient delivery of acute respiratory distress syndrome medicine preparations and remodeling of pathological microenvironment.

A system and method for analyzing mechanical properties of biological tissues combines light-sheet fluorescence microscopy with mechanical perturbation capabilities. The system integrates a MEMS-based compression device, high-speed light-sheet scanner, and digital image correlation analysis to characterize viscoelastic properties of three-dimensional cellular structures. The system enables quantification of spatially-resolved mechanical characteristics and cellular responses through volumetric strain analysis, correlating mechanical properties with fluorescence-based cellular markers. Implementation with maternal-fetal interface models demonstrates capabilities in analyzing tissue mechanics during cellular invasion processes. The system provides applications in studying mechanical interactions in biological processes including embryonic development, cancer metastasis, and wound healing. The disclosed methodology enables unprecedented analysis of mechanical property dynamics at cellular interfaces in three-dimensional tissue environments.

Methods and apparatus for generating values for parameters of a model defining a relationship between one or more biological processes of a biological system. A plurality of data sets are received, each data set associated with a property of the biological system under a respective set of experimental conditions of a plurality of sets of experimental conditions, each data set associating a respective output value for the property of the biological system with the respective experimental conditions. A model defining a relationship between the one or more biological processes of the biological system is also received, the model comprising a plurality of model components, each model component of the plurality of model components defining a respective relationship between a plurality of model parameters, wherein a model component of the plurality of model components defines a relationship between the plurality of model parameters and the property of the biological system. For each model parameter of the plurality of model parameters, a plurality of initial model parameter values are determined, each value of the plurality of initial model parameter values associated with a respective set of experimental conditions and determined based on a respective data set of the plurality of data sets; and for each model parameter of the plurality of model parameters, the plurality of initial model parameter values and the respective set of experimental conditions are processed to generate updated model parameter values.

The invention discloses a multi-layer heterogeneous network unicellular organism network inference method based on meta-path enhancement, which mainly comprises a gene regulation knowledge base enhanced multi-layer heterogeneous network construction module for integrating an external gene interaction network and multiple omics data such as scRNA-seq, scATAC-seq, ST and the like; constructing a single-cell multi-omics multilayer heterogeneous network containing cell-cell, cell-gene and gene-gene relationships, and fusing spatial constraints to consider cell positions and tissue structures; and the feature enhancement module based on the meta-path explores complex semantics of the network by designing a multi-hop meta-path mode, designs an adaptive multi-view learning framework and a multi-round enhancement mechanism, and optimizes feature representation by using cell-gene interaction and cross-modal attention fusion. The unicellular biological network can be effectively deduced, the deduction accuracy and biological interpretation are remarkably improved, the method plays an important role in understanding the cell biological process, developing and treating diseases and the like, has good expandability, and can further integrate multi-modal omics data such as proteomics and metabonomics.

Methods and systems for constructing gene modules with regulator genes and target genes are provided. A Gaussian mixed model can construct gene modules using RNA sequencing data. Sets of gene modules can be compared to identify shared or unique biological processes.

The invention belongs to the technical field of medicines, and discloses a near-infrared fluorescent probe taking an alpha, beta-unsaturated acryloyl ester unit as a response site of sulfydryl. The fluorescent probe has great advantages in the aspects of biological small molecule identification, protein marking and disease diagnosis, and is one of the most convenient and most popular tools for exploring a complex biological process. The fluorescent probe molecule capable of releasing red fluorescence after being activated by sulfydryl is obtained for the first time by connecting a fluorophore with an alpha, beta-unsaturated acryloyl ester unit. The fluorescent probe molecule disclosed by the invention can be used for specifically detecting sulfydryl in an organism, so that the aim of accurately monitoring the sulfydryl in a cell is fulfilled.

The present invention discloses a method for simultaneously reducing the biological inhibition of antibiotics and thiocyanate in erythromycin wastewater, and relates to the technical field of industrial wastewater treatment. The specific treatment method includes: by regulating the water quality characteristics of the wastewater, adding a selective reaction reagent, and regulating the reaction temperature, time, and stirring rate, the simultaneous microbial toxicity reduction of antibiotics and thiocyanate in the erythromycin wastewater is achieved. The method of the present invention has a stable reaction process, easy-to-regulate process conditions, a short time consumption, a strong selectivity in the removal process, and no need to regulate or remove other substances in the wastewater; it effectively solves the problem that erythromycin wastewater has a strong inhibitory effect on anaerobic biological processes due to the presence of high concentrations of erythromycin residual titers and thiocyanate ions, making it difficult to enter the anaerobic biological treatment process for efficient organic matter removal, and has good industrial application prospects.

The invention discloses a coumarin-thiosemicarbazide compound and application of the coumarin-thiosemicarbazide compound. The preparation method comprises the following steps: firstly, synthesizing a coumarin-thiosemicarbazide derivative, and carrying out in-vitro antioxidant activity screening to obtain preferable derivatives 4g and 4i; analyzing an antioxidant action target based on network pharmacology and molecular docking, and performing intersection mapping on the action target and the antioxidant target of the compounds 4g and 4i to obtain a common target; constructing a PPI interaction network, and screening to obtain potential core targets; carrying out GO function and KEGG pathway enrichment analysis on the core target spot to obtain a related biological process and signal pathway; and carrying out molecular docking operation on the key target spot and compounds 4g and 4i to verify the binding capacity of the compounds and the target spot. Potential antioxidant targets and modern biological mechanisms of the derivatives 4g and 4i are preliminarily revealed by using a network pharmacology method, and important guidance and basis are provided for development of antioxidant drugs.