30 results about "Functional profiling" patented technology

The present invention provides a structure-functional analysis engine for the high-throughput determination of the biochemical function of proteins or protein domains of unknown function. The present invention uses bioinformatics, molecular biology and nuclear magnetic resonance tools for the rapid and automated determination of the three-dimensional structures of proteins and protein domains.

Focused aptamer libraries are constructed in accordance with a proteome (i.e., complex mixture of native biomolecules). The libraries may be screened to identify one or more candidate aptamers with desired biological activities other than specific binding to a target. Aptamers which are selected or derivatives thereof may be used for those specific activities in biological systems. Any combination of deconvoluting a focused library (functional profiling), increasing frequencies of particular aptamers in a focused library (Laser SELEX), and decreasing frequencies of particular aptamers in a focused library (DeSELEX) may be performed prior to assaying biological activity.

The invention relates to a kit for detecting cancer radiosensitivity and application of the kit to curative effect prediction. According to the kit of the invention, the screening of molecular markersis completely based on whole-genome RNAi library screening which is a more practical and effective screening mode in international research level. Identification is carried out step by step in vitroand vivo based on a radiotherapy tolerance induction process; it is finally found that RFC4 is a gene highly correlated with radiotherapy tolerance of colorectal cancer; clinical retrospective analysis and in-vitro and in-vivo functional analysis are performed on the identified RFC4 gene, it is revealed that the high expression levels of the RFC4 gene can be positively correlated with tumor regression bad performance, and the RFC4 gene can be used to predict radiotherapy tolerance / sensitivity. Based on the above technical schemes of the invention, the kit used for predicting the efficacy of local advanced neoadjuvant radiotherapy is obtained, and is of great realistic significance for solving the problem of differences between individuals in clinical efficacies and the prediction blanks ofregression / prognosis effects, and better achieving accurate treatment.

The present invention relates generally to groups of genes that can be used to diagnose and differentiate between types of specific diseases such as breast cancer. The groups of genes can be further used to develop diagnostic kits for the specific diseases. The diagnostic kits can also differentiate between sub-categories of a disease to help identify the appropriate treatment regimen for a patient.

PROBLEM TO BE SOLVED: To provide an anti-tag antibody chip which enables the execution of the functional analysis of protein on a solid phase with high density and high throughput regardless of the kind of protein.

The invention discloses an osteoarthritis related gene screening and function analysis method, which comprises the following steps: searching an osteoarthritis related gene expression chip result from a GEO database, and obtaining a gene expression result; searching the same differential genes in the data sets of the two chips by utilizing a Venn graph; and carrying out gene enrichment function analysis by utilizing a bioinformatics technology. According to the method, expression difference genes are downloaded by utilizing multiple online databases, genes for co-expression difference in two chip data sets are searched, bioinformatics analysis is carried out on the co-expression difference genes, and meaningful exploration and basis are provided for osteoarthritis synovial tissue related marker screening, molecular pathogenesis and the like.

The present invention provides a circuit system tolerance modeling and analysis method based on the response surface method, which includes S1, structure and function analysis, obtaining the nominal value of each component parameter and constructing a circuit system simulation model; S2, analyzing the component parameters Random sampling, building component parameter sample space; S3, calling SPICE tool for simulation, and recording simulation data; S4, building simulation data space, and dividing it into two subspaces: sample space for model fitting and sample space for model checking ; S5, using the data in the sample space for regression fitting of the least squares method to obtain the response surface model; S6, using the sample space for testing to test and fit the response surface model; S7, finding the first-order partial for the response surface model Guide to determine the ranking of the influence of components on tolerance. The method of the invention is based on the calculation result of Monte Carlo simulation, and guides the tolerance design of the circuit system by constructing the response surface model of the characteristic parameters of the circuit system, thereby improving the consistency level of the circuit system.

The invention relates to a metamorphic mechanism configuration synthesis method based on functional analysis. The method includes: decomposing a work task of a mechanism to acquire degree of freedom that the mechanism needs to have at each stage; performing aggregation operation to acquire number and type of degree of freedom of a metamorphic source mechanism; synthesizing according to a conventional mechanism synthesis method to acquire various possible configurations of the metamorphic source mechanism; screening according to configuration transformation requirements of the metamorphic process to acquire a good metamorphic source mechanism original configuration; integrating kinematic pairs in the original configuration to acquire a metamorphic kinematic pair and the metamorphic source mechanism; combining the metamorphic source mechanism with each working stage to acquire each configuration of the metamorphic mechanism, and using a metamorphic equation to describe the metamorphic process between the metamorphic source mechanism and each working stage mechanism as well as between each two adjacent working stage mechanisms.

The invention relates to the technical field of biological feature extraction, and is a method for extracting deep bottleneck features of heart shock signals based on deep neural networks. The heart shock signal is used as the feature extraction object, and its waveform amplitude is weak and easily subject to external interference. Synchronously collected ECG signals, using the deep neural network to mine the mechanism of deep features, and extract its deep bottleneck feature parameters. This feature uses the cardiac shock signal as the input vector, and the synchronous ECG signal as the target vector. It is trained through a pre-designed 9-layer neural network to obtain deep bottleneck features and realize the organic combination of cardiac dynamic performance and electrophysiological features. This feature takes cardiac shock signals and ECG signals, which are easier to obtain in daily life, as the research object. It can not only overcome the dependence of conventional waveform characteristic parameters on waveform fluctuations, but also improve the representation performance of a single characteristic parameter. It is an application of deep learning. A new attempt to theoretically conduct daily cardiac function analysis.

The invention discloses a method for gene quantitative analysis. The method comprises the following steps: (1) preparing an initial sample, processing cells by virtue of a protein decomposition enzyme, and conducting related gene pre-amplification; (2) implementing a quantitative PCR test by virtue of an amplified gene template, and detecting the initial copy number of related genes, so as to obtain original CT data, namely a CT value; (3) in accordance with a quantitative PCR instrument and a reagent, setting the maximum reliable CT limit value, called maxCT value for short; (4) converting the obtained CT value into eCT in accordance with a computation formula: eCT=maxCT-CT; and (5) in accordance with the obtained eCT, conducting quantitative analysis and comparison on gene expression andgene copy number of single cells or a few of cells, so as to obtain single-cell related gene quantitative data which is applied to science and clinical diagnosis information such as cell functional analysis, qualitative distinction, source identification and the like. The method is simple and easy to implement and is direct; and detection results are more real and clearer and are more conducive to clear comparison, so that a better cell qualification and classification effect can be achieved.

The invention discloses a method for screening neuropeptide receptors. According to the principle of statistics, P<0.05 after FDR correction of genome sequencing results is required, and the selection basis of gene differential expression multiples is the effect produced by ligand-receptor binding. The strength is proportional to the number of occupied receptors; the protein model is established by using protein homology modeling technology; the three homology modeling technologies of SWISS‑MODEL, MODELLER and PHYRE2 with the most comprehensive evaluation system are comprehensively applied to avoid the single modeling technology The quality of the model is not high; this specific implementation is in the process of molecular docking, the setting requirements of each technical parameter are clear, and the docking area is accurate. After the docking is successful, the docking needs to be optimized by geometric matching and molecular dynamics methods. The molecular force field evaluation function was used to obtain the docking complex score, and the candidate receptors were determined by comprehensive expression verification, molecular characteristics and functional analysis of neuropeptide receptors.

The invention provides a signal path PCR chip data analysis system, local computer equipment and a cloud platform. Through an original Ct value file, a chip layout file, a grouping file and a group comparison file of a signal path PCR chip and set personalized parameters, the data of the PCR chip is automatically subjected to standardization, statistical analysis, visualization and functional analysis, and a report result is finally generated. Statistical analysis and visualization results can be directly used for article publishing, biomedical detection reports and the like.

The invention discloses a neuropeptide receptor screening method. According to the principle of statistics, the genomic sequencing result P after FDR correction is required to be less than 0.05 and the selection basis of the gene differential expression multiple is that the effect intensity generated by ligand-receptor binding is in direct proportion to the quantity of occupied receptors; a protein model is established by adopting protein homologous modeling technologies; and three most comprehensive homologous modeling technologies such as SWISS-MODEL, MODELLER and PHYRE2 in an evaluation system are comprehensively applied, so that the problem of low model quality caused by single modelling technology is avoided. According to the neuropeptide receptor screening method, the setting requirements of technical parameters are clear and the docking areas are precise in the molecular docking process; after the docking succeeds, the docking needs to be optimized through geometric matching and a molecular dynamics method; through interaction, critical evaluation and molecular force field evaluation functions are predicted to obtain a docking complex score; and through the verification of the comprehensive expression quantity and the analysis of the molecular characteristics and functions of the neuropeptide receptors, the candidate receptors are determined.

The invention is directed to an in vivo functional genomics screen for extracting functional information from a global gene expression profiling dataset in a high-throughput manner.

The invention discloses a method and a system for discovering and integrating rectal cancer related genes by utilizing public data resources and analyzing functions of the rectal cancer related genes, and an application. Based on the public data resources, open big data resources and diversified bioinformatics analysis means are reasonably used for performing analysis processing on mRNA expression data, and important genes related to complex diseases and functions of the important genes are identified. The method comprises the steps of sample data downloading and management; gene expression data analysis; difference expression gene screening; and gene function analysis and protein interaction analysis. According to the method and the system, the problems of weakness in integrating existing network resources, unfamiliarity with mRNA related most common databases and frontal analysis methods, incapability of independently finishing mRNA expression spectrum related bioinformatics analysis and the like can be solved; a plurality of risk pathways and genes related to the complex diseases such as the rectal cancer and the like can be discovered; and the method and the system are of important significance for biological targeted treatment of the complex diseases, biological drug research and development, pathogenesis explanation and risk prediction.