1159 results about "Biomolecule" patented technology

The embodiments of the present disclosure relate to one or more compositions or methods that upregulate the production of one or more sequences of micro-interfering ribonucleic acid (miRNA). The sequences of miRNA may be complimentary to a sequence of target messenger RNA (mRNA) that encodes for translation of a target biomolecule, such as JAK. The miRNA can cause the target mRNA to be degraded or inactivated, thereby causing a decrease in bioavailability of the target biomolecule because it is degraded or inactivated by the miRNA. Decreasing the bioavailability of the target biomolecule within a subject that is administered the one or more compositions may address the afflictions experienced by the subject due to expression of the target biomolecule.

The present disclosure relates to compositions and methods for reversible fixation of biological samples using fixation reagents that form bis-carbamate crosslinks between amine-bearing moieties in biomolecules.

Provided herein are systems and methods for analyzing biomolecules (e.g., nucleic acid molecules, proteins). A method of nucleic acid analysis can comprise: (a) providing a sample comprising a cell comprising a target polynucleotide comprising a first exon segment and a second exon segment, wherein the first exon segment and the second exon segment flank opposite ends of a splice junction site of the target polynucleotide. The method can further comprise (b) contacting the cell with: (i) a first probe, wherein the first probe hybridizes to a first target sequence of the first exon segment, and (ii) a second probe, wherein the second probe hybridizes to a second target sequence of the second exon segment. The method can further comprise (c) linking the first probe and the second probe together, thereby generating a probe-linked nucleic acid molecule comprising the first probe and the second probe. The method can further comprise (d) identifying a sequence of the probe-linked nucleic acid molecule or derivative thereof, thereby locating the splice junction site of the target polynucleotide.

The embodiments of the present disclosure relate to one or more compositions or methods that upregulate the production of one or more sequences of micro interfering ribonucleic acid (miRNA). The sequences of miRNA may be complimentary to a sequence of target messenger RNA (mRNA) that encodes for translation of a target biomolecule, such as ETS2. The miRNA can cause the target mRNA to be degraded or inactivated, thereby causing a decrease in bioavailability of the target biomolecule because it is degraded or inactivated by the miRNA. Decreasing the bioavailability of the target biomolecule within a subject that is administered the one or more compositions may address the afflictions experienced by the subject due to overexpression of the target biomolecule.

A ternary deep eutectic solvent (TDES) system for a biomolecule (for example, chitin) recovery from a biomass (for example, seafood waste), and the method of preparation of ternary deep eutectic solvent (TDES) system, and a process to differentiate / extract / recover biomolecules (such as chitin) from a biomass (such as seafood waste).

Systems and methods are provided for stabilization of cells and retention of biomolecules therein for further analysis. Block copolymers are inserted into membranes of biological particles, cell membranes or organelles (e.g., organelle membranes) and polymerized to form an intra-biological particle (e.g., intracellular) polymer network.

The invention provides a biological microenvironment image analysis and classification method, which relates to the technical field of cell image analysis and comprises the following steps: processing an input biological microenvironment image, segmenting cell components and extracting multi-parameter initial features of the cell components; a first machine learning model is adopted to deduce a refined functional sub-state exceeding a traditional cell type based on the internal characteristics and local microenvironment information of the cells; in combination with biomolecule interaction knowledge, calculating and generating a spatially resolved biomolecule interaction potential field map so as to quantify intercellular communication potential; forming a comprehensive state descriptor set; and inputting the descriptor set into a second machine learning classification model to generate a precise classification result of the biological microenvironment. According to the method, functional, quantitative and interpretable analysis and classification of the biological microenvironment are realized, and the evaluation depth, objectivity and accuracy are remarkably improved.

A platform for characterizing biomolecules, biological tissue sections, viruses, or other particles of interest in a non-invasive, high-throughput, cost-effective, and label-free manner. The platform includes a merged set of imaging modalities including and capable of interferometric microscopy and wide-field or confocal microscopy (such as, for example, a wide-field super-resolution surface enhanced Raman spectroscopy, SERS), although some aspects may be employed with data sets only received from wide-field or confocal microscopy. Related devices, systems, methods, techniques, and variations to the same are also provided.

This application discloses a rapid detection method for screening of dwarfism in children, which belongs to the field of intelligent medical technology. It includes the following steps: Step 1, accurately sampling through capillary effect, and automatically diluting the sample to ensure accurate concentration; Step 2, introducing the collected sample into a multi-channel microfluidic detection chip to achieve parallel quantitative detection of endocrine hormones; Step 3, real-time acquisition and amplification of weak biomolecule recognition signals to effectively improve the signal-to-noise ratio; Step 4, multi-dimensional analysis of the test results to achieve quantitative evaluation of growth and development, body mass index and sexual development indicators and risk prediction of endocrine diseases; Step 5, automatically integrating the analysis results and generating a standardized test report; Step 6, establishing a quality control mechanism throughout the entire detection process, including real-time monitoring of sample quality, tracking of detection process parameters, result consistency evaluation, and full traceability of detection data.

The present disclosure relates to compositions and methods for reversible fixation of biological samples using fixation reagents that form bis-carbamate crosslinks between amine-bearing moieties in biomolecules.

The present disclosure relates HER2 antibodies and to the de novo design of structure-based design targeted antibodies. According to the current disclosure, computer-implemented methods of designing an antibody sequences that will bind the HER2 with significant affinity at a target receptor epitope are disclosed. The method utilizes artificial intelligence (Al) and machine learning (ML) models that are trained to predict improved biomolecule (e.g., antibody or antibody fragments) binding sequences or other desirable properties using known biomolecule / binding partner complexes. A designed HER2 antibody is generated by replacing matching residues with different residues such that a predicted affinity is increased.

The invention discloses a non-coding RNA (Ribonucleic Acid) and disease association prediction method based on a graph neural network, and belongs to a biomolecule association prediction technology in the field of biological information. The invention breaks through the limitation of a single task of a conventional method, and provides a novel multi-task learning framework based on task migration. Potential LDA, MDA and LMI can be deduced by effectively utilizing the known complex relationship among lncRNA, miRNA and diseases. A plurality of graph structures are constructed, including a bipartite graph, a feature structure graph and a meta-path graph. The synergistic effect of the multi-graph structure significantly enriches the context information of the nodes, and effectively improves the prediction accuracy of the model. Pairwise attribute learning is introduced and is used for capturing the direct relationship among lncRNA, miRNA and diseases. According to the method, the prediction performance is improved, overfitting is effectively reduced, and the robust generalization ability of the model is ensured.

Strategies, systems, methods, reagents, and kits for phage-assisted continuous evolution are provided herein. These include strategies, systems, methods, reagents, and kits allowing for stringency modulation to evolve weakly active or inactive biomolecule variants, negative selection of undesired properties, and / or positive selection of desired properties.

Various implementations, systems and methods are disclosed for continuous, near real-time, hands-off sampling of airborne particulate matter, and qualification and / or quantification of biomolecules in the sample representative for biologic or microbial contamination. The systems and methods may utilize an electrostatic precipitator for sampling the matter; and a measurement assembly configured to illuminate, excite, or breakdown the sampled matter by electromagnetic radiation, and to detect a spectrum, or one or more wavelength bands of the scatter emitted by the sample. In an exemplary implementation, a sputter deposition process is employed to configure the sample for an enhanced plasmon resonance. The measurement data may be transferred via wireless communication means for cloud storage and signal processing.

The invention discloses a preparation method of a protein halo-coated silicon-coated gold nanorod and a PCR amplification method and kit based on the protein halo-coated silicon-coated gold nanorod, and belongs to the technical field of PCR detection. The photo-thermal nano material is composed of an AuNR coated SiO2 core-shell structure and an external protein halo layer, the protein halo layer avoids inhibition of AuNR on a PCR reaction system, meanwhile, adsorption of AuNR on biological small molecules is effectively reduced, non-specific amplification is reduced, and normal amplification of PCR reaction is guaranteed; and the protein halo layer is used as a thermal insulation layer to optimize heat exchange and maintain the temperature uniformity of the reaction liquid. When the kit is applied to a photo-thermal PCR detection reagent, DNA of a pathogen to be detected can be efficiently and stably amplified and detected within 10 minutes, the kit has huge application potential in the fields of early screening of infectious diseases, food safety detection and the like, collaborative optimization of photo-thermal conversion efficiency, biocompatibility, detection sensitivity and operation convenience is achieved, and the kit has a wide application prospect. And an efficient solution is provided for prevention and control of infectious diseases, food safety monitoring and biomedical research.

The invention discloses a lipid compound capable of being used for gene delivery, a preparation method of the lipid compound and application of the lipid compound in gene delivery. Also disclosed herein is a lipid nanoparticle comprising the lipid compound, a gene delivery composition comprising the lipid compound or the lipid nanoparticle. The lipid compounds, lipid nanoparticles and delivery systems herein enable efficient complexation, protection, intracellular and targeted delivery and release of biomolecules, such as oligonucleotides and nucleic acids, in vitro and in vivo tissues and organs.

The invention provides a wide pH applicable multi-biomolecule detection MOF probe, a preparation method, a detection method and application, the probe is an MIL-53 (Fe) (at) AA (at) EZ probe, and comprises a metal organic framework MIL-53 (Fe), amino acid and enzyme; the preparation method comprises the following steps: weighing terephthalic acid and ferric chloride hexahydrate, adding into N, N-dimethylformamide, mixing and stirring, pouring the mixed solution into a stainless steel autoclave, heating and reacting, naturally cooling to room temperature, centrifugally separating a product, and washing with N, N-dimethylformamide and absolute ethyl alcohol to obtain the metal organic framework MIL-53 (Fe). The preparation method comprises the following steps: mixing a metal organic framework MIL-53 (Fe) with an amino acid solution, and carrying out ultrasonic treatment and stirring to obtain an MIL-53 (Fe) coated AA solution; the method comprises the following steps: dissolving enzyme in an MIL-53 (Fe) (at) AA solution, uniformly mixing, stirring, centrifugally separating a product, taking precipitate, and drying in vacuum to obtain the MIL-53 (Fe) (at) AA (at) EZ probe. The pH application range is wide, one-step detection can be achieved, and the method has the advantages of being rapid in reaction, high in sensitivity, low in detection limit and easy and convenient to operate.

The embodiment of the invention discloses a terahertz virus spectrum classification method and system based on transfer learning, and the method comprises the steps: obtaining a source domain terahertz spectrum data set containing various biomolecule hydrogen bond vibrations, and obtaining an initial feature extraction model; extracting a hydrogen bond vibration characteristic mode in a preset frequency band range, and taking a characteristic center of the hydrogen bond vibration characteristic mode as a cross-domain bridging characteristic; obtaining target sample data, wherein the sample data is a small sample data set; converting the similarity between the feature center and a target sample spectrum peak into a dynamic weight of a migration loss function, and performing layer-by-layer fine adjustment on the initial feature extraction model network to obtain a virus classification model; the fine tuning process comprises the following steps: adjusting a weight factor in real time according to the spectrum peak offset of the current batch of samples; inputting the terahertz spectrum data of the to-be-detected virus into the virus classification model to obtain a classification result of the to-be-detected virus. According to the application, the accuracy, robustness and industrial applicability of terahertz virus detection are remarkably improved.

This invention is related to the field of biosensors. In particular, devices and methods are described which enable the quantification of biomolecules by virtue of particle speed driven by induced-charge electrophoresis. For example, a range of biomolecules can be simultaneously detected in a highly sensitive manner from a library (e.g., combination) of active particles having different shapes or fluorescent signatures. Such biomolecules are related to conditions including, but not limited to, cancer biomarkers, viral infection biomarkers, toxins, pesticides, and small molecule drugs.

The current disclosure concerns a system for producing biomolecules comprising a docking station (30), said docking station encompasses: —a bioreactor (1); —a concentrator (2) fluidly linked to the bioreactor; —an intermediate vessel (4), positioned between said bioreactor (1) and concentrator (2), wherein said intermediate vessel (4) and concentrator (2) are connected by a retentate conduit (303), allowing recirculating of liquid from an output of the concentrator to an input of said intermediate vessel and—a controller, integrated in said docking station (30), which is able to control the biomolecule process.

The invention provides a nucleic acid aptamer and a screening method thereof, the aptamer is of an oligonucleotide DNA structure, the nucleotide sequence of the nucleic acid aptamer is the nucleotide sequence of any DNA fragment as shown in SEQ ID NO: 1-9, and the nucleic acid aptamer can specifically target cardiac muscle cells (CMs). According to the invention, a new strategy can be provided for clinical treatment of cardiovascular diseases, and meanwhile, bioactive molecules such as microRNA (miRNA), small interfering RNA (small interfering RNA, siRNA), lipidosome, microspheres, microcapsules and the like can be carried to be used as an intracellular drug delivery tool.

Disclosed herein are systems and methods for direct classification of biological datasets. The datasets may include raw mass spectrometry data. Some aspects include training a classifier for direct classification of raw data, and some aspects include applying the classifier.

Disclosed herein are a peptoid compound and a peptoid conjugate such as a peptoid-lipid conjugate, and preparation methods therefor and the use thereof in a small molecule drug and nucleic acid delivery. Further disclosed herein are a lipid particle containing the peptoid-lipid conjugate, such as a liposome and a lipid nanoparticle, and a small molecule drug and / or a nucleic acid delivery composition containing the peptoid-lipid conjugate or the lipid particle. The peptoid-lipid conjugate, lipid particle, and small molecule drug and / or nucleic acid delivery composition that can be used for the small molecule drug and nucleic acid delivery of the present invention enable highly efficient compounding, protection, intracellular and targeted delivery and release of the small molecule drug and biomolecules, such as nucleic acids, in tissues and organs both in vitro and in vivo.

Systems, devices, and methods for processing, analyzing, and classifying biological data sets and generation of cell profiles are provided herein. The data set may include multiple omics data. Some embodiments may include using machine learning to train classifiers of raw multi-omics data and incorporate systematic biological knowledge to understand cellular behavior and cellular status at biomolecular levels.

The invention relates to a method for extracting rare earth elements based on a biological separation method, and relates to the technical field of rare earth element separation and extraction. In order to solve the problems of high pollution and poor selectivity of a traditional chemical method and low adsorption capacity, insufficient stability and the like of a biotechnology, the rare earth ion adsorbent is prepared by screening microbial strains or biomolecules with high affinity, utilizing the specific adsorption or metabolic acid production dissolution effect of surface functional groups of the microbial strains or biomolecules on rare earth ions and combining biological material modification and a combined process. And efficient enrichment and selective separation of target elements in low-grade rare earth ore, multi-metal complex ore and rare earth-containing wastewater are realized. According to the technology, key parameter regulation and control are optimized through a process kinetic model, energy consumption and environmental pollution are reduced, meanwhile, the rare earth recovery purity and process stability are improved, and an innovative solution is provided for green and sustainable development of rare earth resources.

The invention provides a cation exchange membrane chromatography medium and a preparation method and application thereof, the cation exchange membrane chromatography medium comprises a homo-porous membrane, polydopamine is loaded on two side surfaces and in a pore structure of the homo-porous membrane, and a cation exchange functional ligand is grafted on the polydopamine; a homogeneous pore membrane is selected as a matrix membrane, polydopamine is loaded on the surface and in an internal pore structure of the homogeneous pore membrane, and then a cation exchange functional ligand is further grafted, so that the surface of a chromatography medium of the obtained cation exchange membrane has relatively strong negative charges, and biomolecules with positive charges can be effectively adsorbed, thereby being separated from biomolecules with negative charges; meanwhile, the membrane is relatively low in transmembrane pressure and relatively high in separation degree, also has the characteristics of high permeability and high selectivity, and is suitable for being applied to separation and purification of biological drug macromolecules.

The invention provides a system for designing and optimizing D-type biomolecules and a method and application thereof. The system comprises a stereoisomerization conversion module, a conjugate skeleton generation module, a sequence design module and an optimization module. The method comprises the following steps: firstly, carrying out stereoisomerization conversion on a target protein structure to generate a stereoisomer structure, and generating a constrained conjugate by utilizing a modeling algorithm under the structural constraint of the stereoisomer structure; on the basis of the generated conjugate skeleton, predicting an adaptive amino acid sequence, and then performing stereoisomerization conversion to obtain the corresponding D-type biomolecule conjugate. And meanwhile, an evolutionary Bayesian optimization algorithm is adopted to carry out iterative optimization on the biomolecule sequence. According to the method, structural constraint and an advanced optimization algorithm are fully utilized, efficient design and optimization of the D-type biomolecules are achieved, high universality and expandability are achieved, and a powerful tool is provided for drug development and biotechnology research.

The invention provides a single-molecule gene sequencing method based on an MOSFET device, and belongs to the technical field of single-molecule gene sequencing. A grid electrode and a source and drain electrode area of the MOSFET device are coated with a chromium surface and a gold surface in sequence, after the grid electrode is coated with a PMMA coating, a hole only capable of containing single polymerase is developed through high-precision electron beam exposure, and the single polymerase is formed in the hole; the PDMS micro-channel is attached to the periphery of the grid electrode to form a micro reaction chamber, and electronegative polymerase is driven into a high-potential PMMA hole by utilizing a negative pressure circulating scanning method and forms gold-sulfur bond connection with a bottom grid electrode gold atom, so that modification of a single polymerase on the grid electrode is completed. By further upgrading and improving a product-grade MOSFET device, a sequencing technology which takes a single polymerase chain reaction as a sequence information feedback source and realizes high-precision reading of a sequence by utilizing an intrinsic physiological function of biomolecules is formed, and an effective signal analysis method is constructed, so that the information reading effectiveness is improved, and the accuracy of information reading is improved. The accuracy and the high efficiency of a single molecule sequencing technology are improved.

Methods and systems for detecting one or more autoantibodies and / or analytes associated with one or more clinical feature or outcome, such as an autoimmune and related disease or other disease through binding events on a biomolecule array. Kinetic parameters of the binding events can be determined. The kinetic parameters may be used to identify one or more clinical feature or outcome, such as diagnose one or more disease, such as an autoimmune and related disease, and / or to provide a prognosis of one or more disease. The kinetic parameters may be used as inputs in one or more machine learning algorithms to identify associations and / or correlations between one or more kinetic parameter and / or other additional information and one or more clinical feature or outcome.

The invention provides a defect early warning method and device for multi-source heterogeneous data fusion of power equipment, and the method comprises the steps: collecting biological data, quantum data and operation data of the power equipment; performing biomolecular diagnosis on the biological data to obtain biological characteristic information; laying a quantum cobweb based on the quantum data to obtain quantum feature information; performing feature fusion on the biological feature information and the quantum feature information to obtain feature fusion information; performing space-time coding conversion on the feature fusion information and extracting bionic features to obtain space-time feature information; generating a space-time pulse characteristic flow based on the space-time characteristic information; constructing a holographic decision field through the space-time pulse characteristic flow; performing risk deduction by using the holographic decision field to generate a defect evolution cloud picture; and generating defect early warning information based on the defect evolution cloud atlas and the operation data. According to the method, potential defects of the equipment can be accurately found in advance, the equipment failure rate is reduced, and the reliability and stability of the power system are improved.