31 results about "Molecular Fingerprinting" patented technology

This invention relates in general to a method for molecular fingerprinting. The method can be used for forensic identification (e.g. DNA fingerprinting, especially by VNTR), bacterial typing, and human / animal pathogen diagnosis. More particularly, molecules such as polynucleotides (e.g. DNA) can be assessed or sorted by size in a microfabricated device that analyzes the polynucleotides according to restriction fragment length polymorphism. In a microfabricated device according to the invention, DNA fragments or other molecules can be rapidly and accurately typed using relatively small samples, by measuring for example the signal of an optically-detectable (e.g., fluorescent) reporter associated with the polynucleotide fragments.

A method for determination of at least one of the triglyceride molecular species in a biological sample comprising the subjecting sample to lipid extraction to obtain a lipid extract and subjecting the resulting lipid extract to 2D electrospray ionization tandem mass spectrometry (ESI / MS / MS) with neutral loss scanning of all naturally occurring aliphatic chains and contour analysis of 2D intercept peaks. A method for determination of tricylglyceride content and / or TG molecular species directly from a lipid extract of a biological sample comprising subjecting said lipid extract to electrospray ionization tandem mass spectrometry.

The invention discloses a graph attention mechanism transfer learning-based small molecule drug hERG toxicity prediction method and device; the method comprises the following steps: S1, data set preprocessing: enabling a to-be-detected drug-like compound to generate a fingerprint sequence through molecular fingerprint generation software; s2, acquiring atom and chemical bond characteristics through the fingerprint sequence generated in the step S1, and constructing a molecular graph and graph characteristics through the atom and chemical bond characteristics; s3, processing the molecular map obtained in the step S2 through a map attention mechanism, and generating a feature vector of each atom in the molecule; s4, generating a molecular feature vector through a graph attention mechanism and the feature of each atom. According to the method, a molecular graph structure is processed based on a graph attention mechanism, a substructure which contributes to a predicted attribute value is effectively obtained, and a source domain data set and a target domain data set are processed based on transfer learning; and thereby, the problem that the sample size is insufficient is effectively solved.

A molecular fingerprinting method is disclosed to detect and genotype pathogens DNA targets in a sample through polymerase chain reaction (PCR). The method comprises performing PCR amplification and then a High Resolution Melting (HRM) analysis. The PCR reaction mixture used comprises two or more pairs of amplification primers designed in order to generate amplicons with a different melting temperature each other in order to discriminate, in the HRM analysis, each amplicon by observing the specific melting temperature of each amplicon. The method further comprises monitoring, during the HRM analysis, the change in the signal emission resulting from the temperature-induced denaturation of the double-stranded amplicons into two single- stranded DNAs, due to the release of the intercalating molecule or compound. Discrimination and genotyping of different strains of the same pathogen, different pathogens belonging to separated genus and genetic variations in the sample can be determined through a reader analysing the signal variation; the result of the analysis is obtained through a graphic interface connected to the reader.

A construction method and application of SSR molecular fingerprint of "Shenyang" strawberry, screened 8 pairs of SSR primer sequences from 140 pairs of SSR primers covering the whole strawberry genome, and used them to establish SSR molecules of strawberry hybrid "Shenyang" Fingerprints can be used to identify the purity of strawberry hybrid "Shenyang" and its close relatives and sisters, non-close relatives and excellent lines from the genetic nature. It has high specificity, stable polymorphism, and band type combination. Easy to identify, good dominant characteristics, can accurately and quickly identify strawberry hybrids, and screen culture conditions, control the risk of somatic cell variation that tissue culture may bring, prevent vitrification, prevent callus formation, and limit tissue culture Multiplication algebra and multiplication coefficient, establish the micropropagation method of the strawberry hybrid "Shenyang", and quickly micropropagate the original strawberry seedlings of "Shenyang" with complete variety purity.

The present disclosure provides methods for molecular fingerprinting for the characterization and identification of organisms. More specifically, in one aspect the present invention provides a method of identifying an organism in a sample by embedding fingerprint bands from any amplification based fingerprinting method within a DNA sequence so that small differences in size are resolvable. Fingerprint output is provided in a text file format that can then be analyzed by bioinformatics tools.

The invention discloses a method for identifying the cytoplasm type of three-line sterile rice by detecting chloroplast DNA (deoxyribose nucleic acid). The method comprises the steps of: taking rice leaves as material, extracting chloroplast DNA in the leaves, carrying out PCR (polymerse chin rection) amplification by using chloroplast primers cp1, cp2, cp3 and cp9, cloning and sequencing the amplified product, and comparing the result with chloroplast DNA molecular fingerprinting of the three-line sterile rice so as to simply and efficiently identify the cytoplasm type of the three-line sterile rice.

Pharmacokinetic Properties and Toxicity Prediction Method of Drug Molecules Based on Capsule Network. After constructing comprehensive molecular fingerprints and molecular descriptors and preparatory work for establishing models, the low-level feature content of molecules is extracted from the upper-level low-level features through convolution or restricted Boltzmann machine operations, and then the capsule network method is used in the next step. The high-level features of molecules are abstracted from a layer of high-level features, and the relationship between high-level features and active labels is fitted by a dynamic routing algorithm to predict the pharmacokinetic properties and toxicity classification of unknown small molecules. The present invention does not need to collect large-scale data sets for training, and realizes automatic dimensionality reduction through end-to-end optimization of the input, updates the coupling coefficient through iterative dynamic routing process, and dynamic routing transfers all the features of the upper layer capsule to any one of the lower layer In the capsule, the hierarchical position relationship between the low-level features and high-level features is greatly preserved. Better predictive performance than traditional machine learning methods.

The invention discloses SSR multiple detection primers, a kit and a method for pithecellobium clypearia variety identification. Compared with independent PCR detection of a single marker, the method has the advantages of good economical efficiency, reagent saving, time saving, high efficiency and the like, and a simple and reliable method is provided for population diversity analysis of pithecellobium clypearia and sibling species, genetic evaluation of germplasm resources, authenticity identification of varieties and medicinal materials and the like; the method is used for construction of SSR molecular fingerprints of pithecellobium clypearia varieties (cutting clones) and identification of to-be-detected varieties, has the advantages of being accurate, reliable, effective and rapid, can effectively discriminate counterfeit and disordered varieties and new varieties, and provides important technical support for guaranteeing rights and interests of improved variety cultivators and forest planters.

The invention relates to a general method for extracting the total microbial genome form traditional vinegar fermentation process samples, and belongs to the technical filed of molecular biology. A technical issue to be solved by the invention is to provide a method for extracting the total microbial genome from traditional vinegar samples in different states comprising solid state fermentation, semi-solid state fermentation and liquid state fermentation. The method comprises steps of pretreating the vinegar fermentation samples, extracting microbial genome DNA, removing impurities, rinsing and concentrating. The method for extracting relates to in-situ extraction. The sample amount needed is less than 5 g. Addition of preparations such as protease, cellulase, helicase, etc. is not needed. The genome extracted has high purity and high quality, and can be directly used for subsequent molecular fingerprint analysis, metagenomics analysis, PCR (polymerase chain reaction) amplification of targeted genes and clone library construction.

Various embodiments provide devices, methods, and systems for high throughput biomolecule detection using transducer arrays. In one embodiment, a transducer array made up of transducer elements may be used to detect byproducts from chemical reactions that involve redox genic tags. Each transducer element may include at least a reaction chamber and a fingerprinting region, configured to flow a fluid from the reaction chamber through the fingerprinting region. The reaction chamber can include a molecule attachment region and the fingerprinting region can include at least one set of electrodes separated by a nanogap for conducting redox cycling reactions. In embodiments, by flowing the chamber content obtained from a reaction of a latent redox tagged probe molecule, a catalyst, and a target molecule in the reaction chamber through the fingerprinting region, the redox cycling reactions can be detected to identify redox-tagged biomolecules.

The invention discloses a novel coronavirus traditional Chinese medicine prescription recommendation method and system based on collaborative filtering, including: obtaining the compound of three medicines and three traditional Chinese medicines, molecularly docking the compound with the new coronavirus protein, and obtaining the binding affinity between the compound and the protein; screening based on ADME , Combining affinity and compound free energy docking threshold to screen compounds to obtain effective compounds; obtain molecular fingerprints of traditional Chinese medicines according to the molecular fingerprints of effective compounds contained in traditional Chinese medicines, and construct traditional Chinese medicine-Chinese medicine similarity matrix according to molecular fingerprints of traditional Chinese medicines and efficacy traits of traditional Chinese medicines; Based on the traditional Chinese medicine-Chinese medicine similarity matrix and the collaborative filtering algorithm, the candidate Chinese medicines were screened, and the recommended prescriptions of Chinese medicines were obtained. Molecular docking of the three-drug and three-prescription Chinese medicine compound and the new crown protein was carried out to measure the binding ability of the traditional Chinese medicine and the traditional Chinese medicine prescription and the new crown protein. At the same time, the recommendation of the traditional Chinese medicine prescription was made based on the collaborative filtering algorithm, and the effectiveness of the Chinese medicine prescription for the treatment of the new crown virus was verified.

The invention relates to the technical field of computers, in particular to a method for rapidly assessing adverse drug reactions based on a molecule fingerprint spectrum.The method includes the steps that 1, a drug-adverse drug reaction relationship network is built; 2, a drug-molecule fingerprint spectrum corresponding relationship network is built; 3, a drug-molecule fingerprint spectrum-adverse drug reaction network model is built; 4, the probability that the adverse drug reactions A<m> are possibly caused by a target drug D is calculated; 5, the probability P (A<m>|F<multi>) that the adverse drug reactions A<m> are sensed by the fingerprint-spectrum set F<multi> of the target drug D is calculated; 6, the adverse drug reactions with P (A<m>|F<multi>) higher than 1% are screened.The method can serve as an economical and effective method for assessing the adverse drug reactions in a rapid, high-throughput and quantization mode in the early drug research-and-development stage.

The invention provides a preparation method of a one-dimensional single crystal germanium-based graphene plasmon nanostructure. The preparation method comprises the following steps: (1) sputtering a gold nano film on a substrate by using a magnetron sputtering method; (2) growing a germanium-doped single crystal nanowire on the substrate obtained in the step (1) by adopting chemical vapor deposition; and (3) directly growing high-quality graphene on the surface of the germanium-doped single crystal nanowire obtained in the step (2) by adopting chemical vapor deposition to obtain the one-dimensional germanium-based graphene surface plasmon nanostructure. According to the invention, graphene directly grows on the surface of a germanium single crystal nanowire through a chemical vapor deposition method, so that the traditional graphene film transfer process is avoided, the influence of the transfer process on the carrier mobility of graphene is reduced to the maximum extent, and coupling of mid-infrared surface plasmons between germanium and graphene is enhanced; and the material provided by the invention has a strong and adjustable surface plasmon effect, and is expected to be widely applied to the fields of molecular fingerprint detection, intermediate infrared sensing, photon chips and the like.