60 results about "Molecular analysis" patented technology

The invention discloses a cross-coupling reaction site analysis system driven by a multi-modal neural network. The cross-coupling reaction site analysis system comprises a data input module, a multi-modal feature extraction module, a multi-modal neural network reasoning module, an analysis result output module and a model iterative optimization module. The system acquires molecular structure, electronic characteristics, reaction environment and historical experimental data, inputs the data into a neural network for fusion reasoning after multi-modal feature coding, and outputs reaction site recognition, activity quantification and side reaction early warning results. Through multi-modal data fusion and cross-modal feature reasoning, accurate recognition and comprehensive risk assessment of reaction sites are realized, the accuracy and reliability of complex molecule analysis are remarkably improved, the dependence on high-cost calculation and experimental trial and error is greatly reduced, and the method is suitable for large-scale popularization and application. And meanwhile, the universality and the self-adaptive optimization capability of the system in different coupling reaction systems are enhanced.

The invention relates to the technical field of signal decoding, in particular to a single-molecule signal decoding method based on an artificial intelligence algorithm, which specifically comprises the following steps: performing baseline correction on an original current signal sequence to obtain a corrected current signal dynamic baseline sequence; conducting conductance fluctuation component separation through power spectrum density and frequency band division to obtain a main current signal of the molecular event; dividing into independent molecular event segments, and extracting stable features to obtain a complete local segment stable feature set; splicing and correcting to obtain a corrected complete single molecule track; and performing similarity contrastive analysis with a standard control single-molecule trajectory to obtain an optimized single-molecule trajectory. According to the method, the problem that in the prior art, the application range and precision of the technology in complex biomolecule analysis are limited due to the fact that a single-molecule signal is difficult to be accurately matched with a standard control track in a high-salt environment is solved.

The present disclosure relates to methods and kits for analyzing a macromolecule. In some embodiments, the present disclosure relates to macromolecule analysis methods which employ barcoding and nucleic acid encoding of molecular recognition events. Also provided herein is a method and related kits for transferring information using a plurality of enzymes, including for performing a ligation, extension, and cleavage reaction with nucleic acid molecules associated with the macromolecule for analysis. In some embodiments, the macromolecule for analysis comprises a peptide, a polypeptide, or a protein.

Provided herein are methods, compositions, systems and kits to amplify DNA, RNA and protein macromolecules. In particular, provided herein are compositions and methods to amplify macromolecules for molecular analysis including low abundance template, single-cell and single nucleus applications.

Provided herein are methods and compositions for rapid, highly sensitive detection of molecular analytes such as antibodies, proteins, and small molecules using protein-driven nucleic acid assemblies to activate CRISPR-Cas nucleases. Also provided herein are uses of the sensitive analyte detection methods in an analyte detection platform and in convenient low-cost diagnostic assays such as lateral flow devices for point-of-care use.

Provided herein are methods and systems for high throughput sequencing of nucleic acids for the surveillance of pathogens in a population and efficient identification of new pathogen variants of concern.

This invention discloses a method for SPR response region identification based on image semantic segmentation and temporal alignment, comprising the following steps: acquiring SPR image frame sequence data to construct an original image sequence; performing image preprocessing operations on the original image sequence to output a standardized image sequence; constructing a temporal window image set composed of multiple consecutive frames; inputting the temporal window image set into an improved SegFormer model to generate a response region segmentation mask map corresponding to each frame; performing cross-frame temporal alignment operations on the response regions to output a temporal consistency identifier mapping of the response regions; performing area statistics, intensity analysis, and temporal localization operations; and generating a structured response region identification result. This invention can effectively identify the spatiotemporal evolution process of response regions in SPR image sequences, improving the accuracy and stability of response region identification, and is suitable for high-precision biological detection and real-time molecular analysis scenarios.

The invention discloses a methylation marker combination for detecting gastric cancer, a corresponding primer probe combination, a kit and application thereof. The methylation marker combination related to the gastric cancer comprises a CpG methylation site cg08630279 of a ZNF569 gene, a CpG methylation site cg24773720 of a GHR gene and a CpG methylation site cg20622089 of a CNR1 gene, wherein the CpG methylation site cg08630279 of the ZNF569 gene, the CpG methylation site cg24773720 of the GHR gene and the CpG methylation site The methylation levels of the ZNF569, GHR and CNR1 sites are related to gastric cancer staging, and the ZNF569, GHR and CNR1 sites can be used as high-specificity markers for early screening of gastric cancer. A primer probe combination for detecting the marker combination comprises specific upstream primers, downstream primers and probes aiming at methylation sites of all markers. The kit comprises a primer probe combination, and also comprises a positive control, a negative control and a quality control reagent. Three-site combined detection is adopted, the detection sensitivity in a gastric cancer blood sample reaches 91% or above, the specificity reaches up to 100%, the kit is used for auxiliary screening, detection or molecular analysis related to gastric cancer and precancerous lesions of the gastric cancer, and a technical scheme high in sensitivity, high in specificity and good in repeatability is provided for clinical detection.

The invention belongs to the technical field of gene mining, and particularly relates to a multi-level evidence and artificial intelligence character key gene mining method and system, and the method comprises the steps: S1, constructing a multi-omics database and integrating an interaction network; s2, predicting by using different machine learning algorithms; s3, constructing and applying an online platform: developing the online platform based on an integration result, and integrating a part of known interaction relationship databases; and systematically analyzing a genetic network of plant height, grains and drought resistance characters, and mining key genes. According to the method, the interaction network and multi-omics data are integrated, the mutual relation between functional genes is enriched, and all related genes of target characters are mined. And meanwhile, quantitative integration is performed on the relationship of the genes by utilizing artificial intelligence, and the importance of the related genes can be ranked. By means of the method, all related genes of the target character can be found out, key genes can be verified preferentially according to importance, and the method has important guiding significance on target character inheritance and molecular analysis.

The invention relates to a process for analysing single molecules, in particular for sequencing of single nucleic acid molecules.

Methods and compositions for pre-treatment of samples suspected of comprising biomolecules such as nucleic acids and proteins, particularly complex samples, to maximize yield of detectable analytes extracted from the samples, and to minimize effects of compounds that interfere with biomolecule purification processes and / or that co-purify with biomolecules and inhibit downstream processes, e.g., biomolecule assay methods.

The present invention relates to a cell-free transcriptional electrochemical biosensor and to the use of the same for detecting specific molecular analytes, such as specific antibodies, proteins, small molecules, nucleic acids, and derivatives thereof, in complex arrays of biological samples, such as plasma, serum, blood, saliva, sweat, and the like, wherein said biosensor is based on the activation of the transcription of a specific RNA strand, induced by recognition with the analyte. The invention further relates to a method for the detection of specific molecular analytes in complex arrays of biological samples, said method being based on the use of said cell-free transcriptional electrochemical biosensor.

The invention discloses a surface water characteristic soluble organic matter molecule and reaction identification method and device, and relates to the field of environmental monitoring, the method comprises the following steps: collecting a surface water body sample of a target area, and carrying out solid phase extraction to obtain a soluble organic matter sample; carrying out determination and mass spectrometry on the dissolved organic matter sample by adopting a Fourier transform ion cyclotron resonance mass spectrometer to obtain a dissolved organic matter molecular formula of the target area; spearman correlation analysis is carried out on the key hydrological parameters and the molecular formula of the soluble organic matter of the target area to obtain characteristic soluble organic matter molecules under the influence of the key hydrological parameters; and analyzing the chemical reaction between the characteristic dissolvable organic matter molecules to obtain the chemical reaction path of the characteristic dissolvable organic matter molecules under the influence of the key hydrological parameters. According to the method, quantitative analysis of the molecular formula and the reaction path of the characteristic soluble organic matter is realized, and the influence of the key hydrological parameters on the specific soluble organic matter molecules and the chemical reaction can be identified.

The present invention relates to a novel microRNA for in vitro early diagnosis of mild cognitive impairment and Alzheimer's dementia, and a convergence diagnostic cartridge and diagnostic device using same. The novel miRNA of SEQ ID NO: 1 obtained by molecular analysis exhibits differences in expression levels in the plasma of a normal group, a mild cognitive impairment patient group, and an Alzheimer's dementia patient group, and has the effect of reducing the expression levels of mild cognitive impairment- and Alzheimer's dementia-related proteins. Therefore, by using a novel miRNA present in plasma as a molecular diagnostic index in a non-invasive manner, the present invention enables not only early diagnosis of Alzheimer's dementia but also screening for mild cognitive impairment and Alzheimer's dementia.

Disclosed herein are compositions, sensors, and kits for a carboxymethyl dextran (CMD) based linker for label-free molecular analysis. Further disclosed are methods for synthesizing a CMD-based linker for label-free molecular analysis and method for using reagent kits to immobilize a ligand on a sensor including a CMD-based linker for label-free molecular analysis.

A computer-implemented method and system includes accessing neurophysiological and neurovascular data recorded during sleep. A function mapping is executed from said neurophysiological and neurovascular data to a target that is one of a glymphatic flow marker, a molecular analysis marker of neurodegeneration, or a neuroimaging marker of neurodegeneration. A target prediction model is output based on the function mapping. The target prediction model can receive new neurophysiological and neurovascular data and output a predicted marker of neurodegeneration.

Disclosed is a method for whole genome amplification and analysis of multiple target molecules in a biological sample containing genomic DNA and target molecules, the method comprising the steps of: contacting the biological sample with at least one binder for at least one of the target molecules, the binder being conjugated to a tagged oligonucleotide comprising a binder barcode sequence (BAB) and a unique molecular identifier sequence (UMI); obtaining a labeled biological sample by performing a separation step to selectively remove unbound binders; simultaneously performing whole genome amplification and amplification of the tagged oligonucleotides on the labeled biological sample; creating a massively parallel sequencing library from the amplified tagged oligonucleotides; sequencing the massively parallel sequencing library; searching for the sequences of the BAB and UMI from each sequencing read; and counting the number of different UMIs for each binder.

This invention belongs to the field of organic probe molecular analysis and detection technology, and discloses a fluorescence / electrochemical dual-mode probe for detecting copper ions (Cu2+), its preparation method, and its application. The probe's molecular structure is as follows: Under argon protection and an ice-salt bath, halogenated hydroxyl chloride and pyridinecarboxyl chloride hydrochloride undergo an esterification reaction in anhydrous dichloromethane solvent catalyzed by triethylamine. The target product is obtained after extraction, drying, vacuum concentration, and column chromatography purification. This probe combines "on-screen" fluorescence detection with ratiometric electrochemical detection, enabling highly sensitive and selective quantitative analysis of free Cu2+ in complex biological samples such as dialysis fluid from Alzheimer's disease (AD) model mice. Compared to existing detection technologies, this probe has advantages such as high selectivity, low detection limit, good stability, and accurate dual-signal cross-validation results, providing a reliable tool for the accurate detection of Cu2+ in biological samples.

The invention relates to proteinaceous nanopores, nanopore systems and devices, and their application in single molecule analysis, such as detecting the presence, concentration and / or identity of a clinically relevant analyte in a complex sample. Provided is a sensor system comprising a nanopore embedded in an amphipathic or hydrophobic membrane separating a fluid filled chamber into a cis side and a trans side, wherein the nanopore is a conical shaped proteinaceous nanopore having a cis entrance of at least 11 nm, preferably about 12 to 20 nm, and a trans constriction of less than 5 nm, preferably about 2 to 4 nm.

To provide macromolecule analysis employing nucleic acid encoding.SOLUTION: A method for analyzing macromolecules, including peptides, polypeptides, and proteins, employing nucleic acid encoding is disclosed. There remains a need in the art for improved techniques relating to macromolecule sequencing and / or analysis, with applications to protein sequencing and / or analysis, as well as to products, methods and kits for accomplishing the same. There is a need for proteomics technology that is highly-parallelized, accurate, sensitive, and high-throughput. The present disclosure fulfills these and other needs.SELECTED DRAWING: None

This invention discloses a strategy for rapid detection of isoniazid resistance in Mycobacterium tuberculosis based on multiplex polymerase chain reaction (Multiplex PCR) using local rTth DNA polymerase and interpretation of amplification patterns. This strategy utilizes a specific primer combination that allows simultaneous amplification of the control fragment and the target fragment of the katG gene codon 315 mutation in a single PCR reaction. The amplification products are analyzed by 1% (w / v) agarose gel electrophoresis and interpreted based on the resulting DNA banding pattern to distinguish sensitive isolates, isolates carrying the katG315 mutation causing isoniazid resistance, and invalid test results. The use of local rTth DNA polymerase provides an alternative thermostable enzyme to support national diagnostic raw material independence without changing the detection principle.This strategy allows for rapid identification of katG315 mutations associated with isoniazid resistance without the need for DNA sequencing or further molecular analysis. The invention provides a simple, rapid, specific, easily interpretable, and cost-effective molecular diagnostic method to support the early detection of isoniazid-resistant tuberculosis.

This invention discloses a method and apparatus for drug molecule generation based on a latent space multi-constraint diffusion model, relating to the field of smart medical technology. The method includes: S1, obtaining the two-dimensional structure of a known molecule and representing it as an initial feature matrix and adjacency matrix; S2, learning the two-dimensional structural features of the known molecule, obtaining the final feature matrix, and converting it into a latent space; S3, constructing and optimizing the latent space multi-constraint diffusion model; S4, generating a new hidden space; S5, analyzing the new hidden space to generate a new atom list and a new adjacency matrix, obtaining a new molecule; S6, analyzing whether the new molecule is a valid molecule and outputting the generation result. This method solves the problem that current graph neural network models cannot capture the unique topological properties of molecular graphs well; and avoids the problem of poor data adaptability that occurs when performing a latent space multi-constraint diffusion model directly on a discrete graph structure, enabling the generated molecule to achieve a balance between various attributes while satisfying each attribute constraint.

This invention concerns a method for identification, differentiation, and phylogenetic mapping of natural Indonesian rabies virus strains based on molecular analysis. This method includes the stages of extracting rabies virus RNA from biological samples, reverse transcription of RNA into cDNA, amplification of a nucleoprotein gene fragment with a length of 1047 base pairs and a glycoprotein gene fragment with a length of 1053 base pairs using polymerase chain reaction techniques, visualization of the amplification results, nucleotide sequencing, and homology and phylogenetic analysis. The use of two gene targets with specific fragment lengths allows for accurate identification of rabies viruses, differentiation between isolates based on geographic regions, and mapping of kinship relationships and the origins of rabies viruses in Indonesia.This method can be applied in molecular diagnostic activities, epidemiological surveillance, and tracing the spread of the rabies virus, and provides increased accuracy and efficiency compared to previous identification methods that only use one gene target.

A diagnostic device for detecting a first member of a reporter-analyte pair comprising: an inlet for receiving a liquid, biological sample, a porous membrane element comprising a detection portion, th

A method for detection of at least one molecular genetic analyte comprising a upstream and a competitive downstream oligonucleotide probe, a combination of robes and a kit for use in the method. According to the method the upstream probe has a sequence region (1) and the downstream probe has a sequence region (3), both have an overlapping region (2). The regions (1), (2) and (3) have similar melting temperatures (Tm) and wherein the downstream probe hybridizes with a decreasing hybridization rate in relation to the upstream probe to the target sequence with at least one analyte, and the upstream probe hybridizes with an increased hybridization rate in relation to the downstream probe to the target sequence with the at least one analyte. The Detection is based on the released hydrolysis product(s) from the respective probe and optionally in combination with the obtained amplified products.

The present application relates to a kind of double detection nitric oxide and viscosity accurate diagnosis of liver fibrosis ratio type fluorescent probe, belong to fluorescent probe field.Its molecular structure is as follows: the fluorescent probe molecule presents red fluorescence, and after complete response with NO, the red fluorescence at 715nm is weakened until disappear, emits intense orange fluorescence, the fluorescence intensity ratio (I 625nm / I 715nm ) of probe BDP with NO concentration has good linear relationship;High viscosity leads to the significant fluorescence enhancement of probe before and after response NO, realizes the effect of simultaneous response.The probe molecule described in the present application can not only qualitatively analyze NO and viscosity, but also can realize rapid, quantitative detection NO and viscosity, has important application value in the field of biochemistry molecular analysis.

The embodiment of the invention relates to an agent analysis system for performing patent infringement analysis on a molecular structure. The system comprises a task scheduling module, a molecular analysis module, a patent analysis agent, a structure matching agent, an infringement analysis module, a fact checking module, a Markush structure library and a substituent database, the task scheduling module sequentially schedules the subtask processing processes of the molecular analysis module, the patent analysis agent and the structure matching agent, performs fact verification on each subtask output by using the fact verification module, and schedules the infringement analysis module to generate an infringement analysis report according to the output of the structure matching agent; and the structure matching agent is also used for carrying out dynamic fine adjustment on the built-in structure matching model according to the Markush structure library and the substituent database. The analysis precision can be improved, and the analysis quality can be improved.

A system for functionally integrating dual-frequency comb spectroscopy (DFCS) into and / or integrating with a mobile device. The system includes: an attachment device configured to couple to a mobile device; and DFCS enabling hardware configured to enable the mobile device to perform DFCS-based molecular analysis of a sample region including a sample, wherein the DFCS enabling hardware includes: a laser emitter configured to generate two optical frequency combs that emit laser light at uniformly spaced intervals across a broad spectrum of optical frequencies, wherein (i) the laser light is directed toward the sample region, and (ii) at least a portion of the laser light is received by at least one photodetector configured to: (a) receive at least a portion of the laser light after interaction with the sample, and (b) generate signal output data based on one or more wavelengths or absorption properties corresponding to a portion of the laser light.

Disclosed herein is a composite material comprising: a substrate; and a patterned hydrogel disposed on the substrate, wherein: the patterned hydrogel comprises stimulus-responsive constitutional units and constitutional units comprising one or more target molecule recognition moieties; the stimulus-responsive constitutional units are responsive to a stimulus and are configured to produce a stress value S1 to the patterned hydrogel when the stimulus is applied; the target molecule recognition moieties are responsive to a target molecule and are configured to impart a stress value S2 to the patterned hydrogel upon interaction with the target molecule; the patterned hydrogel is configured to reversibly buckle and / or reversibly swell when a threshold stress level T of the patterned hydrogel is crossed.