1542 results about "Protein expression" patented technology

The invention discloses a drug resistance prediction method and system based on comparative learning and multi-modal fusion, and the method comprises the steps: firstly generating a molecular map and a molecular fingerprint based on the SMILES of a target drug, and extracting the molecular features of the drug through a comparative learning model constructed through combining a map attention network and a map convolution network; and then, acquiring protein expression, gene expression and metabolic expression data from the target tissue cells, extracting modal features through a deep convolutional network, a Transform encoder and a multi-dimensional attention network, and realizing adaptive fusion of the multi-modal features through a heterogeneous interactive attention mechanism. And finally, jointly inputting the fused multi-modal features and drug molecular features into a multi-layer sensor to realize high-precision prediction of the drug resistance of cells to drugs. By introducing a contrast learning and multi-modal feature fusion mechanism, the characterization capability and prediction precision of the model are effectively improved, and efficient and reliable support can be provided for drug screening and clinical decision making.

The invention provides an UTR (Untranslated Region) element H2202 P1-G as well as a construction method and application thereof, and relates to the technical field of mRNA (messenger ribonucleic acid). According to the present invention, the ribosome load prediction and the secondary structure optimization are performed on the natural 5 'UTR of the HIV TAT 202 gene through the BaidleHelix platform, and the obtained HTAT 202 P1 sequence avoids the inhibitory hairpin structure so as to significantly improve the luciferase expression quantity compared to the natural UTR; an ncRNA sequence without a secondary structure is introduced on the basis of the HTAT 202 P1, translation inhibition of a 5 'cap region is further relieved, and the protein expression quantity of the constructed H2202 P1-G mutant (the DNA sequence of the H2202 P1-G is as shown in SEQ NO 1, and the RNA sequence is as shown in SEQ NO 2) is further improved.

The present invention relates to a method for constructing an eight-gene-edited xenogeneic organ transplantation donor pig, belonging to the field of animal biotechnology. In the wild-type porcine fetal fibroblast cell line, the GGTA1, β4GalNT2, and CMAH genes are knocked out by using the CRISPR / Cas9 gene editing technology, and the humanized genes of hCD39, hCD46, hCD55, hCD59, and hTBM are transfected. Combining with somatic cell cloning technology, GTKO / β4GalNT2KO / CMAHKO / hCD39 / hCD46 / hCD55 / hCD59 / hTBM eight-gene-edited cloned pigs are constructed. Further, through genotype, mRNA, protein expression identification and functional analysis, eight-gene-edited xenogeneic organ transplantation donor pigs are obtained. The present invention solves the technical problems of high production difficulty, low efficiency, and low survival rate of donor pigs for multi-gene-edited xenogeneic organ transplantation, and maximally solves the common problems of immune rejection reaction and complement dysregulation faced during xenogeneic organ transplantation, laying a foundation for more targeted development of donor pigs suitable for different tissue and organ xenotransplantation, and having important value for promoting the clinical transformation of xenogeneic organ transplantation.

The invention discloses a micromolecule NSD3 degradation agent as well as a preparation method and application thereof, and belongs to the technical field of biological medicines. The invention provides a micromolecular NSD3 degradation agent, which has a structure as shown in a formula I or a formula II, has a remarkable inhibition effect on NSD3 protein expression, and has remarkable killing and growth inhibition effects on lung squamous carcinoma cells. The small molecule NSD3 degradation agent provides a new scheme for treatment of lung squamous cell carcinoma, and has a good clinical application prospect. # imgabs0 # imgabs1 #

The invention belongs to the technical field of living cell imaging, and discloses a living cell nucleic acid imaging system and method based on CRISPR (clustered regularly interspaced short palindromic repeats) and a nano antibody and application, the system comprises: a modified dCas protein expression vector containing n antigen polypeptide tags; the modified sgRNA and / or crRNA expression vector comprises a specific guide sequence; the fluorescent nano-antibody expression vector contains m fluorescent nano-antibody coding sequences which are connected in an operable manner, and fluorescent protein serving as an internal tag is inserted between nano-antibody splitting sites, can be combined with a polypeptide tag carried by dCas protein and can stably emit light; and the fluorescent nano antibody in a free state can be self-degraded, so that the fluorescent nano antibody does not emit fluorescence. According to the invention, the single-copy nucleic acid sequence, especially the imaging marker of the single-copy nucleic acid sequence in a living cell, can be visualized with single-molecule resolution and high signal-to-noise ratio.

The invention provides a breast cancer HER2 immunohistochemical digital slice automatic interpretation method, device and equipment and a storage medium. Relates to the technical field of digital pathological image analysis. Acquiring a full-slice image, automatically identifying an external contrast area and a tissue area through a multi-task head real-time instance segmentation model, and segmenting an ROI (Region of Interest) area of tumor cell aggregation; extracting image blocks by adopting a fixed sliding window based on the ROI region, and constructing a double-branch multi-task feature extraction model containing a backbone network: realizing HER2 expression pattern classification by an image block classification head, and outputting a continuous protein expression intensity quantized value by a dyeing intensity numerical head through regression analysis; and establishing a slice-level interpretation model, integrating the classification results and the intensity quantized values of all the image blocks, and outputting an automatic HER2 interpretation result. According to the invention, end-to-end analysis from cell-level characteristic quantification to slice-level diagnosis is realized, and an objective and quantifiable intelligent interpretation scheme is provided for HER2 immunohistochemical evaluation.

The invention relates to application of 12-ketolithocholic acid in preparation of a medicine for preventing or treating acute ischemic intestinal injury. According to the application, 12-ketolithocholic acid (12-KLCA) is used for preventing or treating acute ischemic intestinal injury and is verified on a constructed classical intestinal ischemia reperfusion model, and a verification result shows that the 12-KLCA obviously improves intestinal histopathologic injury induced by intestinal ischemia reperfusion of a mouse, improves the survival rate of the mouse, and has a good application prospect in prevention or treatment of acute ischemic intestinal injury. The protein expression level of the apoptosis factor activated caspase-3 is reduced, the effect is obvious, safety and non-toxicity are achieved, and the side effect is small.

The invention provides a rapid quantitative analysis method for an outer vesicle proteome, and belongs to the technical field of quantitative analysis of the outer vesicle proteome. According to the rapid quantitative analysis method for the outer vesicle proteome, firstly, a high-quality outer vesicle sample is obtained through low-speed centrifugation, ultra-speed centrifugation and membrane filtration; and obtaining proteome data by utilizing two-dimensional electrophoresis and mass spectrometry. Then, a mathematical model equation set is constructed for preliminary analysis, a protein interaction network is optimized through an embedded game optimization index model, and feature extraction and quantitative analysis are conducted through a convolution parameter adaptive function and a residual network deep learning model; finally, a quantitative analysis result containing the protein expression level and the function importance is generated in combination with the multi-dimensional protein expression contribution index, and the technical problem that in the prior art, in the rapid quantitative analysis process of the outer vesicle proteome, the protein component complexity is high, and consequently the quantitative precision is low is solved.

The invention belongs to the technical field of environmental biology, and particularly relates to a prothioconazole methyltransferase gene proS38 and application thereof. The prothioconazole methyltransferase proS38 gene in the Sphingomonas sp.AJ-1 strain and the prothioconazole methyltransferase which is a protein expression substance thereof are found through analysis, screening, identification and verification, the prothioconazole methyltransferase proS38 gene and the prothioconazole methyltransferase which is a protein expression substance thereof are proved to have efficient and specific degradation catalysis capability on the existing pesticide prothioconazole which is used in a large amount, and a foundation is laid for biodegradation of prothioconazole.

The invention relates to a method for inhibiting in-vitro infection of a porcine epidemic diarrhea virus by using JPH203 and application. The JPH203 can be used for preparing an antiviral drug for inhibiting infection of the porcine epidemic diarrhea virus. JPH203 with the concentration of 5 [mu] M is added in the process that Vero cells are infected with PEDV, compared with a control group without JPH203, the virus infection condition, the protein expression quantity, the RNA content and the virus titer of the PEDV in a treatment group with JPH203 are all remarkably reduced, and it is indicated that JPH203 can be used for inhibiting in-vitro infection of the porcine epidemic diarrhea virus.

The present invention provides a self-activating small molecule induction system, cells, and applications and methods in inducing gene expression, belonging to the technical field of genetic engineering. The self-activating small molecule induction system optimizes the component composition based on the green light response system, improves the induction efficiency of the target gene through a cascade reaction, and can reduce the background leakage level, playing an important role in the induction of the target gene and having good application prospects in the field of protein expression and the production and preparation of viral vectors.

Provided are formulations, compositions and methods for delivering biological moieties such as modified nucleic acids into cells to modulate protein expression. Such compositions and methods include the delivery of biological moieties, and are useful for production of proteins.

The present disclosure, in some aspects, relates to antisense oligonucleotides (ASO) for use in the prevention or treatment of a disease or a condition associated with low- density lipoprotein (LDL) in a subject. In some embodiments, the ASO effects site-directed adenosine-to-inosine (A-to-l) editing of a target adenosine in a target RNA sequence derived from a sequence of an endogenous low-density lipoprotein receptor (LDLR) gene such that: a) the modified LDLR protein has: (i) reduced binding to the inducible degrader of the LDLR protein (IDOL); (ii) increased stability; (iii) improved resistance to IDOL-mediated degradation; (iv) increased LDLR protein expression; and / or (v) increased activity or function to take up LDL; and / or b) editing of the 3'-untranslated region (UTR) of the target RNA leads to an increase in LDLR protein expression and / or stability.

The invention provides a method and a device for designing a protein coding codon sequence based on a large multi-modal model, which comprehensively utilize information such as an amino acid sequence, space folding and mRNA quality of protein to realize high-quality, controllable and evaluable codon sequence design. According to the method, the dependence of a traditional codon optimization strategy on a reference gene template is broken through, and a codon optimization problem is converted into a codon design task based on protein information. Through comprehensive consideration of information such as space folding of protein, context of amino acid sequences, mRNA quality and the like, the model can generate a codon sequence which is more in line with codon use preference of specific species, reasonable in structure and efficient in expression, so that a new thought and technical support are provided for safe, stable, efficient and controllable protein expression.

The invention relates to the technical field of biotechnology and gene function and application, and provides application of SNHG8 in preparation of drugs for preventing and treating non-alcoholic fatty liver diseases. The medicine is used for preventing and treating the non-alcoholic fatty liver disease by promoting SNHG8 gene expression. The SNHG8 is applied to preparation of the medicine for preventing and treating the non-alcoholic fatty liver disease, the medicine can effectively reduce the content of triglyceride in the liver by promoting SNHG8 gene expression, liver lipid accumulation increase and lipid metabolism related protein expression up-regulation induced by high-fat and high-cholesterol diet are relieved, and therefore the non-alcoholic fatty liver disease is prevented, treated or relieved. The purpose of preventing and treating the non-alcoholic fatty liver disease is achieved.

The application provides an in-vitro cell-free protein synthesis system and kit containing exogenous magnesium ions and application thereof, including a D2P system (DNA-to-Protein system) and an mR2P system (mRNA-to-Protein system), and belongs to the technical field of protein synthesis. The in-vitro cell-free protein synthesis system containing exogenous magnesium ions adopts magnesium aspartate as a novel magnesium ion source, and especially in a eukaryotic cell-free system, compared with a traditional magnesium ion source, can significantly improve the protein synthesis efficiency and protein expression amount. A more efficient and higher-throughput in-vitro protein synthesis kit and a synthesis method of exogenous proteins are also provided, and the kit has the advantages of simplicity, convenience and low cost.

The invention discloses a method and a device for generating an mRNA sequence, electronic equipment and a storage medium. The method comprises the following steps: acquiring an amino acid sequence of a given target gene; generating an initial CDS based on the amino acid sequence of the given target gene; performing first iterative optimization on the initial CDS by adopting a reward model so as to obtain an optimized CDS; obtaining an initial UTR sequence; performing second iterative optimization on the initial UTR sequence on the basis of the optimized CDS, so as to obtain an optimized UTR sequence; and splicing the optimized UTR sequence and the optimized CDS so as to obtain a final mRNA sequence corresponding to the amino acid sequence of the given target gene. According to the method, the sequence design can be integrally optimized, the interaction among the regions is fully considered, and the stability and translation efficiency of mRNA are remarkably improved, so that the protein expression level of mRNA is improved, an efficient solution is provided for research and development of mRNA drugs, and the method has a wide application prospect in the field of pharmaceuticals.

The present invention is directed to lipid nanoparticles using cationic cholesterol for topical delivery for nucleic acid delivery, and when administered locally, side effects caused by systemic drug delivery can be minimized and protein expression can be confined to the site of administration. In addition, the duration of protein expression at the site of administration can be increased, and thus the lipid nanoparticles can be useful in the technical field related to nucleic acid therapeutics.

The invention provides an engineered ketoreductase mutant, which comprises a polypeptide sequence, a gene sequence, a recombinant expression vector containing the gene, an engineering strain, a protein expression method of the engineering strain, and a reaction process for selectively synthesizing (R)-5, 7-difluorochroman-4-ol by using the engineered ketoreductase mutant.

The invention relates to a vaccine for preventing and treating sheep echinococcosis infection and a preparation method thereof.The preparation method comprises the steps that echinococcosis Eg95 full-length gene antigen epitopes are screened through bioinformatics software, screened fragments with high antigenicity are optimized and then subjected to double-copy connection through a flexible linker, His tag sequences are added to the two ends of a tandem sequence, the sequence is as shown in SEQ ID NO.2, and the vaccine for preventing and treating sheep echinococcosis infection is obtained; and the pEE12.4-double Eg95 plasmid is connected with a CHO eukaryotic cell expression vector, so that the pEE12.4-double Eg95 plasmid is obtained. The plasmid is integrated into a CHO eukaryotic cell expression system, the expression quantity of the purified Eg95 protein reaches 10g / L, and a stable and high-yield veterinary vaccine is provided for large-scale production.

Aspects of the disclosure relate to methods and compositions (e.g., kits) for detecting anti-repeat-associated non-ATG (RAN) protein antibodies in a subject (e.g., a subject that has been administered a therapeutic anti-RAN protein antibody or a vaccine against a disease or disorder associated with RAN protein expression, translation, and / or accumulation, for example amyotrophic lateral sclerosis (ALS) and / or frontotemporal dementia (FTD)). In some embodiments, methods described by the disclosure comprise detecting one or more anti-RAN protein antibodies in a biological sample obtained from a subject by an electrochemiluminescence-based immunoassay using one or more target di-amino acid repeat peptides. In some embodiments, the disclosure relates to kits comprising one or more di-amino acid repeat peptides and an electrochemiluminescence-based immunoassay plate and / or reagents.

The invention discloses a compound as well as a preparation method and application thereof, and belongs to the technical field of biological medicines. The invention provides a compound which has a structure as shown in a formula I or a formula II, has a remarkable inhibition effect on NSD3 protein expression, and has remarkable killing and growth inhibition effects on lung squamous carcinoma cells. The compound provided by the invention provides a new scheme for treating lung squamous cell carcinoma, and has a good clinical application prospect. # imgabs0 # imgabs1 #

The invention relates to the technical field of protein related data processing, in particular to a biological information processing system and method applied to synthetic biology. The method comprises the following steps: acquiring real-time proteomics data, and performing polymorphic context decoding to obtain a protein expression context matrix; analyzing interaction of behavior characteristics in the protein expression context matrix to obtain a multi-scale causal structure map; executing structure-function transformation rule extraction in the multi-scale causal structure atlas to obtain a function mapping unit set; performing evaluation based on the function mapping unit set so as to form a configuration decision diagram; simulating paths in the configuration decision diagram, and performing path adaptability scoring to obtain a path adaptability feedback table; and optimizing the path adaptability feedback table to obtain an optimal expression configuration set. According to the method, the precision, the stability and the controllability of protein information in the process of structural analysis, function recognition and regulation path construction can be improved.

The invention belongs to the technical field of protein expression, and particularly relates to recombinant elastin with repeated amino acid sequences and a preparation method thereof.The recombinant elastin is composed of 327 AA sequence units which are repeatedly connected in series twice and a spider silk protein GAAn module, and the AA sequence units are derived from human elastin containing VPGVG peptide fragment repeating units; the invention also discloses a double-repeat tandem sequence protein obtained by serially connecting AA sequence units twice, a coding gene of the double-repeat tandem sequence protein, a recombinant elastin sequence, a coding gene of the recombinant elastin sequence, a high-expression vector and a preparation method, and the problems of low protein expression efficiency and high purification cost at present are solved.

Provided herein are methods for replenishing dissolved gas to aqueous droplets on a digital microfluidic device. Provided herein are methods of cell-free protein synthesis, optimized cell-free protein synthesis (CFPS) reagents, and methods for optimizing CFPS reagents to increase protein expression yield. The method is suitable for protein expression on microfluidic devices having hydrophobic surfaces by circulating a fill fluid to introduce additional oxygen.

The invention discloses a risk assessment method, system and equipment for idiopathic pulmonary arterial hypertension, and belongs to the field of pulmonary arterial hypertension. According to the method, SNP data containing genotypes and effect values, protein marker expression quantity, metabonomics and clinical data are obtained, the SNP effect values are corrected based on linkage imbalance reference information, and PRS is calculated in combination with the genotypes; constructing a protein expression score by utilizing the site effect value and the expression quantity of the pQTL, and fusing the protein expression score with the PRS to form a target PRS; carrying out dimensionality reduction on metabolome data by adopting sparse coding, extracting sparse coefficients of IPAH related metabolic pathways, and converting the sparse coefficients into metabolic pathway scores; converting the clinical indexes into clinical risk scores; based on the clinical parameter distribution target PRS, the metabolic pathway score and the weight coefficient of the clinical risk score, calculating a risk assessment value; and finally, matching the evaluation value with a preset risk threshold value, and outputting a risk evaluation level. And the IPAH risk assessment accuracy of common people is improved.

The invention relates to the technical field of biomedicine, in particular to a method for constructing a plasma ctDNA organ distribution characteristic spectrum of advanced colorectal cancer. The method comprises the following steps: collecting a peripheral blood sample at multiple time points, separating plasma by adopting a double-centrifugal method, and extracting circulating tumor DNA (Deoxyribose Nucleic Acid); carrying out whole exome sequencing based on ctDNA to obtain genome variation information and calculating variation allele frequency, and synchronously detecting the expression quantity of immune-related proteins by adopting an Olink proteomics technology; integrating the genome data, the protein expression data and the clinical pathological features, and constructing a multi-dimensional feature data matrix; and taking the organ metastasis condition confirmed by iconography as a supervision label, training a model by applying a machine learning algorithm, screening key prediction factors, constructing a quantitative prediction model, and finally generating a visual organ metastasis tendency prediction map. According to the method, early and accurate prediction of the advanced colorectal cancer organ metastasis tendency is realized through multi-omics data collaborative analysis and machine learning modeling.

The invention discloses a surface antigen gene StSAG1 of Sarcocystis tenella, the nucleotide sequence of the surface antigen gene StSAG1 is as shown in SEQ ID NO: 1, and according to the analysis result of protein antigenicity and antigen epitope, the 686 bp-1175 bp segment of the StSAG1 gene is selected to construct a recombinant protein expression vector and engineering bacteria; the antigen disclosed by the invention has very strong antigenicity and specificity, and can be subjected to effective antigen-antibody reaction with an antibody generated in serum after sheep (Ovis aries) is infected with sarcosporidium tenella, so that diagnosis is realized; low-titer antibodies can be detected two weeks after infection, and the detection window period is obviously advanced; by adopting the ELISA detection method, a visual result can be directly obtained. The method breaks through the limitation of an infection window period, has the advantages of low cost, high sensitivity, simplicity and convenience in operation, no need of expensive instruments and analysis and the like, is suitable for field detection in primary laboratories and pastures, and is beneficial to industrial production and market popularization and application.

The invention discloses a fungal effect protein prediction model based on a protein language model and deep learning, and relates to the technical field of bioinformatics and deep learning, and the method comprises the steps: 1, collecting fungal effect protein data and non-effect protein data; 2, obtaining protein embedding through a protein language model; 3, performing oversampling processing on the data; 4, constructing a deep learning model; 5, model training; and 6, performing cross validation and independent test evaluation. According to the invention, a geometric oversampling technology (G-SMOTE) is adopted to carry out oversampling processing, so that the problem of sample imbalance is solved; a protein language model is adopted to obtain protein embedding characteristics to strengthen protein expression; and the prediction accuracy is improved by using a deep learning model architecture. The method can be applied to agricultural disease prevention and control, drug development and biotechnology research, important support is provided for identification and research of fungal effect protein, prediction accuracy can be improved, dependence on expensive experiments is reduced, and labor cost is reduced.

The invention discloses application of sauchinone in cardiac fibrosis, relates to the technical field of medicines, and particularly relates to application of pharmaceutically acceptable salt derivatives of sauchinone in preparation of medicines for treating and / or relieving cardiac fibrosis. The sauchinone disclosed by the invention inhibits proliferation and migration of fibroblasts induced by Ang II. The sauchinone has a potential anti-cardiac fibrosis effect. The sauchinone can reduce the area of cardiac fibrosis and down-regulate mRNA level and protein expression of fibrosis related indexes, so that the sauchinone shows a potential anti-fibrosis effect.