170 results about "Biological process" patented technology

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 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.

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 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.

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.

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.

A first unit (1) for treating a biological process liquid comprises a first side face (2), a second side face (3) and a front face (4) meeting the two side faces. The front face comprises: a plurality of valves (7) adapted to receive one or more legs (8) of the disposable flow path (6) and to act on the one or more legs (8) of the disposable flow path (6); optionally, one or more pumps (10) adapted to receive the one or more legs of the disposable flow path and to act on the one or more legs of the disposable flow path; optionally, one or more sensors (11) adapted to receive and measure one or more parameters in one or more legs of the disposable flow path; wherein the plurality of valves and optional pumps and sensors are vertically offset from each other to give a slope of at least 3.0 degrees from a horizontal plane (h) to one or more legs of the disposable flow path received by the valves and optional pumps and sensors.

The invention discloses a nucleic acid aptamer with enhanced affinity after cyclic hybridization as well as a screening method and application thereof, relates to the technical field of nucleic acid aptamer screening, and successfully develops a CH-SELEX method by taking human alpha-thrombin as a research object on the basis of compatibility with MB-SELEX under the condition of introducing cyclic hybridization. Through multiple rounds of positive screening under the condition of introducing cyclic hybridization and negative screening under the condition of adding His-small peptide modified magnetic beads and human serum, the nucleic acid aptamer which can specifically recognize human alpha-thrombin and has obviously improved affinity after cyclic hybridization is screened; and the affinity of the nucleic acid aptamer can be regulated and controlled by increasing the length of the hybrid complementary chain, so that reference is provided for diagnosis and treatment of diseases related to human alpha-thrombin and development of sensors, concept verification and methodological reference is provided for regulation and control of other important biological processes, and the blank of the method is filled.

An example system for detecting and quantifying drug and / or chemical interactions with a biological sample is provided. The system includes a detection instrument with computing capability. The system includes an assay device capable of receiving a biological sample. Introduction of the biological sample into the assay device results in a biological process by which fibrin and platelets may accumulate at a reaction zone of the assay device. The assay device is capable of receiving one or more chemical reagents and one or more drug reagents. The fibrin and platelets, and their associated signals, accumulated at the reaction zone of the assay device are usable to determine at least one of a drug presence, a drug class, a drug level in relation to a threshold, or a drug concentration, within the biological sample.

Biological process for treating liquid effluent using the macrofungus Lentinus. The present invention describes a process for treating tannery and electroplating effluents contaminated by different types of metals (aluminum, copper, chromium, iron, and nickel) by adding biomass of a macrofungus from the Lentinus crinitus complex to the treatment process. This invention falls within the fields of biotechnology, biology, and environmental engineering.

This invention discloses methanogenic lyases with the same protein family annotation as PeiR lyases and their applications. These enzymes are obtained through homology screening based on the known characteristics of PeiR lyases targeting peptide bonds in the methanogenic cell wall, using the Pfam protein family database annotation. PeiR lyase proteins participate in the biological process of hydrolyzing archaea cell walls, effectively killing methanogens and reducing methane production. Proteins homologous to this protein have potential methane-reducing potential. This invention integrates rumen microbial metagenomic sequencing data, uses a series of bioinformatics software to screen methanogenic viral proteins, and combines Pfam functional domain annotation for homology analysis, ultimately identifying a series of lyases. These lyases were successfully expressed in a prokaryotic expression system, and in vitro gas production experiments also showed that the crude enzyme solution significantly reduced methane production.

This application relates to a method, apparatus, computer device, and storage medium for identifying enzyme substrates. The method for identifying enzyme substrates analyzes the sequence information of substrate peptides before and after enzyme digestion by quantitative detection of control samples and enzyme inhibitor-treated samples, thereby identifying potential enzyme substrates. It effectively identifies enzyme cleavage sites, detects the sequences of substrate peptides before and after enzyme digestion, and promotes enzyme substrate identification and site analysis. This plays an important role in understanding biological processes and identifying biomarkers for diseases.

This invention discloses a quantitative method and system for the contribution of river nitrous oxide sources and fate processes, relating to the field of biotechnology. The method includes: collecting surface water and groundwater samples; determining the physicochemical properties of the water samples, including calculating and quantifying the water-to-groundwater exchange ratio; extracting dissolved nitrous oxide from the water samples after determining the physicochemical properties and performing isotope analysis on the nitrous oxide to generate isotope test results; conducting indoor culture experiments on the water samples after completing the isotope analysis to determine whether there are abiotic sources of nitrous oxide in the water samples, generating indoor culture results; and quantifying the contribution of river nitrous oxide sources based on the results of the water-to-groundwater exchange ratio, the isotope test results, and the indoor culture results. This invention effectively analyzes the sources and fate processes of nitrous oxide in rivers and accurately quantifies the contributions of different sources.

The invention discloses an epigenetics method for improving the cryopreservation efficiency of sheep semen. The method comprises the following steps: extracting seminal fluid of Donflilien and Hu sheep hybrid F1-generation sheep, dividing the seminal fluid into a fresh group and a frozen group, carrying out somatic cell removal and small non-coding RNA extraction, screening out differentially expressed microRNAs by utilizing a Pandorah sequencing technology, analyzing a target gene and a signal channel of the microRNAs, and determining the seminal fluid of the Donflilien and Hu sheep hybrid F1-generation sheep. The small non-coding RNA related to sperm cryopreservation is found to mainly relate to key biological processes such as oxidative stress response and cell surface receptor signal channels. The screened differentially expressed small non-coding RNA is added into the frozen semen through methods such as in vitro chemical synthesis, so that the artificial fertilization conception rate of the frozen semen is remarkably increased.

The invention discloses a collagen peptide composition with a function of increasing muscle strength and application of the collagen peptide composition. The collagen peptide composition comprises fish collagen peptide and beef tendon collagen peptide. A mouse senescence sarcopenia model is constructed, then a collagen peptide composition is used for intragastric intervention, and the improvement effect is evaluated through behavioral testing, body component analysis and HE staining. The potential target and regulatory pathway of the collagen peptide composition are explored by combining network pharmacology and molecular docking. Results show that the four-limb grip strength, treadmill exhaustion time and movement distance of a model mouse can be remarkably improved, quadriceps femoris muscle and gastrocnemius muscle indexes are recovered, and muscle fiber atrophy and collagen deposition are relieved. And it is found that TNF, IL1B, AKT1, mTOR and MAPK1 may be core targets of the TNF, IL1B, AKT1, mTOR and MAPK1. The polypeptide plays a role by regulating and controlling biological processes such as MAPK cascade, protein processing and inflammatory reaction, cell apoptosis, a cAMP pathway and a calcium signal pathway.

This invention discloses a methanogenic lyase homologous to PeiR lyase and its applications. The PeiR lyase protein, targeting the peptide bonds of the methanogenic cell wall, participates in the biological process of hydrolyzing the archaea cell wall, effectively killing methanogens and reducing methane production. Proteins homologous to this lyase possess potential methane-reducing potential. This invention utilizes a series of bioinformatics software to identify protein sequences encoded by methanogenic viruses from a large amount of rumen microbial virome sequencing data, and analyzes the structural homology between these proteins and PeiR. Ultimately, this invention successfully obtained a series of methanogenic lyases homologous to PeiR. To achieve the expression of these lyases, this invention designed multiple primers to synthesize the target sequences and successfully expressed them in a prokaryotic expression system. In vitro gas production experiments with the crude enzyme solution showed that these lyases are effective in reducing methane production.

Compounds containing aziridine moieties and methods for their synthesis are provided. The compounds can bind to monovalent organic moieties and can be used to bind targets (e.g., target proteins), such as by crosslinking the targets. In some embodiments, the monovalent organic moiety is capable of binding to a presenting protein. Also disclosed are complexes (e.g., presenting protein / compound complexes, compound / target protein complexes, or triple complexes) containing the compounds. Methods of forming the complexes and methods of modulating biological processes using the compounds and complexes are also disclosed.

The invention relates to the technical field of microbial carbon sequestration, and discloses bacillus megaterium, a carbon sequestration microbial agent as well as a preparation method and application of the carbon sequestration microbial agent. The preservation number of the bacillus megaterium provided by the invention is CGMCC (China General Microbiological Culture Collection Center) No.35586. The bacillus megaterium provided by the invention is a new strain of bacillus megaterium separated from a water sample in an oil field. The bacillus megaterium can effectively immobilize carbon dioxide in the atmosphere and generate gases such as nitrogen under a high-temperature condition through a unique metabolic pathway, so that the synergistic effect of carbon sequestration and gas production is realized, and the energy recovery rate and environmental benefits of the whole biological process are improved.

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.

This invention belongs to the field of synthetic biology and microbial engineering, and discloses a chemical-biological method for preparing the isopentenyl bibenzyl compound 2-isopentenyl-3,3',4',5-tetrahydroxybibenzyl (NPB-1575) which has anti-ischemic stroke activity. The specific disclosed method includes: (1) chemically synthesizing the substrate dihydropiperidine; (2) constructing an engineered Escherichia coli strain based on the isopentenyl utilization pathway, co-expressing hydroxyethylthiazol kinase, isopentenyl phosphokinase, isopentenyl pyrophosphate isomerase and specific isopentenyl transferase, and efficiently synthesizing the isopentenyl donor; (3) using this strain to catalyze dihydropiperidine in whole cells, the yield in a 200L fermenter can reach 2.54g / L, which is nearly 40 times higher than the existing method; (4) obtaining NPB-1575 with a purity >98.5% by macroporous adsorption resin and normal / reversed phase chromatography and recrystallization. This method uses readily available raw materials, involves simple steps, is environmentally friendly, and yields high purity, laying the foundation for the development of NPB-1575 as a new drug for ischemic stroke and showing significant application potential.

The present invention relates to a flexible, scalable up-stream pharmaceutical product Process System for expression of Mabs and mixing for mRNA bases consisting of multiple process containers, a liquid dividing manifold, a fluid conveying device, a solids separation unit.

The invention relates to the technical field of biological medicines, and particularly provides a hair follicle regeneration nano activator as well as a preparation method and application thereof. The activator comprises a first coupling monomer and a second coupling monomer, an oligonucleotide sequence of the first coupling monomer and an oligonucleotide sequence of the second coupling monomer are at least partially complementary and form a double-chain structure through base pairing, the first coupling monomer is formed by coupling a first polypeptide and a first ssDNA, and the second coupling monomer is formed by coupling a second polypeptide and a second ssDNA. The second coupling monomer is formed by coupling a second polypeptide and a second ssDNA; wherein the first polypeptide and the second polypeptide are both specifically targeted to beta-catenin protein. The polypeptide-DNA-polypeptide dimer has a polypeptide-DNA-polypeptide sandwich-type dimer structure, can be specifically combined with beta-catenin in stem cells, only regulates and controls a Wnt / beta-catenin pathway, does not generate non-specific influence on other pathways, and can efficiently activate a hair follicle regeneration related signal pathway and promote a hair follicle development biological process.