5137 results about "Protide" patented technology

The invention discloses a drug and target interaction prediction method based on multi-scale convolution feature fusion, which comprises the following steps: acquiring drug molecule data, target protein data and drug and target interaction data, constructing a drug molecule map according to the drug molecule data, and coding a target protein sequence according to the target protein data; inputting the drug molecular map into a model, and obtaining drug features through a multi-scale map convolutional network and a dynamic gating attention mechanism; inputting a target protein sequence into the model, and obtaining target features through hierarchical cavity convolution and a bidirectional gating cycle unit; through multi-head cross attention, the drug features are aligned with the target features, local and global cross-modal fusion is carried out, and drug target fusion features are obtained; based on the drug target fusion features, outputting a drug and target interaction prediction probability; and training the model according to the drug and target interaction data and the prediction probability, and applying the trained model to drug and target interaction prediction.

The invention relates to the technical field of computer-aided drug design, in particular to a drug molecule screening and optimizing method based on artificial intelligence prediction, which comprises the following steps: S1, obtaining a dynamic protein conformation set and molecular multi-dimensional characterization: obtaining a dynamic conformation set of a target protein and a physicochemical property spatial distribution diagram of a binding pocket of the dynamic conformation set, a two-dimensional molecular map topological structure and three-dimensional conformation coordinates of the drug molecules are obtained; s2, multi-modal fusion prediction is carried out; s3, generating interpretable optimization guidance; and S4, automatic iterative optimization: performing batch prediction and screening on the new candidate molecular structure, taking the screened optimal molecule as a new starting point, repeatedly executing the interpretability optimization guidance generation step and the step until an iteration termination condition is met, and outputting a final optimized molecule list. Through the multi-modal fusion deep learning model, the interaction strength of the drug molecules and the target protein can be quickly and accurately predicted, and the screening efficiency of the drug molecules is greatly improved.

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 present disclosure provides compositions and methods for prime editing with improved editing efficiency and / or reduced indel formation with modified prime editors and prime editor fusion proteins. The disclosure further provides, vectors, cells, and kits comprising the compositions and polynucleotides of the disclosure.

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 invention provides a drug target prediction method based on a 3D structure and a multilevel attention mechanism, and belongs to the technical field of drug target prediction. The technical problem to be solved is to provide a drug target prediction method based on a 3D structure and a multi-level attention mechanism. According to the technical scheme, the method comprises the following steps: collecting data information of an interaction tag among a related drug, a target sequence and a drug target protein, and processing and extracting SMILES character string characteristics of the drug; learning the numeralized protein amino acid sequence by using a convolutional neural network, completing feature coding of a target spot on the sequence through multi-layer convolution and pooling operation, and extracting target spot sequence feature data; a PDB file is read and modeled into a pocket graph, feature calculation is carried out on the pocket graph, a final protein structure representation code is generated, and structural feature data of target protein is extracted by modeling the PDB file; the method is applied to drug target prediction.

Among other things, the present disclosure provides designed DMD oligonucleotides, compositions, and methods of use thereof. In some embodiments, the present disclosure provides technologies useful for repairing mutant DMD transcripts by skipping exon 51 or exon 53, so that the transcript can be translated into an internally truncated but at least partially functional Dystrophin protein variant. In some embodiments, the present disclosure provides technologies useful for modulating DMD transcript splicing. In some embodiments, provided technologies can alter splicing of a dystrophin (DMD) DMD transcript. In some embodiments, the present disclosure provides methods for treating diseases, such as muscular dystrophy, including but not limited to Duchenne muscular dystrophy, Becker's muscular dystrophy, etc.

The invention belongs to the technical field of genetic engineering, and particularly relates to recombinant collagen based on engineering bacterium expression and a preparation method thereof, and the recombinant collagen is formed by connecting repetitive units derived from human III type collagen in series for three times; the invention also discloses a base sequence of the coding gene of the recombinant collagen, efficient expression and accurate folding of target protein are realized through genetic modification of engineering bacteria, a light-operated dynamic folding process and an orthogonal purification strategy, and cascade purification of a His6-SUMO tag and an intein-CBD module is utilized to obtain the recombinant collagen. The product purity and the native conformation retention rate are remarkably improved, and the technical problems that hydroxyproline depends on exogenous addition, the folding controllability is poor and the purification efficiency is low in a traditional process are solved.

Disclosed in the present invention are a KRAS G12D degradation agent as well as a preparation method therefor and the use thereof. The present invention provides compounds as shown below, and / or stereoisomers, enantiomers, diastereoisomers, atropisomers, deuterated compounds, hydrates, solvates, prodrugs and / or pharmaceutically acceptable salts thereof. The compounds provided by the present invention can effectively degrade and / or inhibit KRAS G12D protein in cells, and can be used for preparing drugs for treating and / or preventing related diseases or disorders caused by KRAS G12D mediation. G-L-E I

The invention provides a fluorescent protein selection marker staygold-ygjHr gene and application thereof, and belongs to the technical field of biological engineering. The preparation method comprises the following steps: replacing codons of L-valine in nucleotide sequences of a fluorescent protein gene Staygold and a gene ygjH by using a rare codon GTC to respectively obtain a fluorescent protein gene Staygoldr after codon replacement and a gene ygjHr after codon replacement, and connecting the two segments of genes after codon replacement by using a flexible protein peptide to obtain the fluorescent protein selection marker Staygold-ygjHr gene. Experiments prove that the gene can obviously improve the screening efficiency of L-valine high-yield strains.

The invention discloses a colorectal cancer drug relocation method based on multi-omics integration. The system comprises a multi-omics data acquisition and preprocessing module, a tumor microenvironment analysis module, a specific disease network construction module, a multi-dimensional drug relocation module and a result evaluation module. And the tumor microenvironment analysis module comprises cell heterogeneity identification, cell map construction, cell annotation and tumor cell subset annotation. The specific disease network construction module comprises tumor feature expression program extraction, expression program screening, meta-program construction, clinical related meta-program recognition and specific disease protein interaction network construction. And the multi-dimensional drug relocation module comprises a module for identifying diseases by using a random walk algorithm, carrying out drug screening based on disturbance data, carrying out drug screening based on network proximity and carrying out comprehensive drug relocation. From the perspective of single cell data, element programs related to colorectal cancer survival are excavated, corresponding modules are designed, and the efficiency and precision of colorectal cancer targeted drug screening are improved.

The present invention discloses a pharmaceutical composition comprising a circular RNA and a drug delivery carrier. Compared with traditional linear 1 * siRNA and annular 1 * siRNA, the number of repeated series connection of positive-sense strands is increased to include but not limited to two or more, it is accidentally found that the silence effect is remarkably enhanced, the expression level of the PCSK9 gene can be remarkably reduced, and degradation of mRNA of PCSK9 protein is mediated. The nano-particles are used for delivering oligonucleotide, so that the stability is improved, the immunogenicity is reduced, the effects of lowering cholesterol, reducing aortic plaque load and resisting atherosclerosis are improved, and the nano-particles are safe and free of obvious liver and kidney toxicity and have a wide application prospect in the aspect of preparing medicines for treating hypercholesterolemia and coronary heart disease.

The invention is applicable to the technical field of drug research and development, and provides a lead compound discovery method based on a large language model, which comprises the following steps: determining a target spot and constructing an initial compound library; generating fragments and forming an initial fragment library; calculating the frequency of occurrence of the fragments and the affinity contribution degree of the fragments to the target protein, and updating the fragment library; fragment sampling weight calculation and candidate fragment selection; the large language model generates molecules according to the candidate fragments; evaluating the quality of the generated molecules and updating the molecule library; and repeating the cycle until a preset iteration round number is reached. A fragment-based drug design method is combined with the large language model, rich domain knowledge of the large language model is used for replacing human experts to guide drug design, fragments are used as prompts to stimulate the internal potential of the large language model, the advantages of the two methods complement each other, exploration of the whole chemical space is completed, and the drug design efficiency is improved. The lead compound reaching the human expert level is designed in actual use, and a new technical means is provided for drug research and development.

Some aspects of this disclosure provide strategies, systems, reagents, methods, and kits that are useful for the targeted editing of nucleic acids or the modification of nucleic acids or proteins, including editing a single site within the genome of a cell or subject, e.g., within the human genome. In some embodiments, fusion proteins of nucleic acid programmable DNA binding proteins e.g., GeoCas9 or variants thereof, and effector domains, e.g., deaminase domains, are provided. In some embodiments, methods for targeted nucleic acid editing or protein modification are provided. In some embodiments, reagents and kits for the generation of targeted nucleic acid editing proteins, e.g., fusion proteins of a GeoCas9 and effector domains, are provided.

The invention discloses an application of a medicago sativa MsDGK5 gene and a protein coded by the medicago sativa MsDGK5 gene in salt stress resistance of plants, and belongs to the technical field of plant genetic engineering. The nucleotide sequence of the medicago sativa MsDGK5 gene provided by the invention is as shown in SEQ ID NO. 1. According to the application, MsDGK5 gene overexpressed arabidopsis thaliana and medicago sativa transformation plants are constructed, growth and development indexes and physiological and biochemical parameters of the plants under salt stress are systematically measured, and it is proved that overexpression of the MsDGK5 gene can significantly improve the salt tolerance of the transgenic plants. Based on the experimental results, the key regulation effect of the MsDGK5 gene in plant salt tolerance is defined for the first time, an important gene resource is provided for crop salt tolerance genetic improvement, and a new technical approach is also provided for coping with the increasingly aggravated soil salinization problem.

The invention belongs to the field of functional proteomics research, and particularly relates to a combined analysis method for analyzing interaction between a small molecule substance and a targeted protein, which is used for analyzing the small molecule substance and the protein by adopting LiP-MS (Limited Protein-Mass Spectrometry) technology and phosphorylated proteome combined analysis. According to the method, the optimized LiP-MS technology is adopted, the target protein can be directly recognized under the complex proteome background without enriching specific protein, and the problem that low-abundance protein is difficult to detect is solved; phosphorylated proteome abundance transformation protein is analyzed by combining high-resolution mass spectrometry, so that the recognition capability on a drug target and a shear variant thereof is enhanced, and the detection sensitivity is improved.

The invention discloses a self-replicating RNA (Ribonucleic Acid) molecule, a porcine rotavirus RNA vaccine and application thereof, and relates to the technical field of vaccines. According to the present invention, the coding sequence of the porcine rotavirus G9P23 type VP4 protein is optimized, such that the fact that the saRNA prepared by using the nucleotide sequence represented by the SEQ ID NO: 10 can secrete the high porcine rotavirus G9P23 type VP4 protein antigen after the cell transfection is found; after the optimized porcine rotavirus G9P23 type VP4 protein is used for immunizing experimental animals, the level of neutralizing antibodies generated by the animals can be improved, and the challenge protection effect is enhanced. Therefore, the nucleic acid molecule provided by the invention can be used for developing drugs and vaccines for causing protective immune response in experimental animal bodies. Compared with a traditional vaccine, the vaccine provided by the invention has good immunogenicity and safety, and has a good application prospect.

The technology described herein relates to novel CRISPR / Cas systems and components thereof, vectors, proteins, fusion proteins, ribonucleoprotein complexes and methods of using the novel systems and components. The new system can be used in CRIS PRi applications and can be fused with any number of effector domain patterns, such as nuclease, base editor, leader editor, and the like, to conduct a variety of DNA modifications.

This invention belongs to the field of biological detection technology, specifically relating to a monoclonal antibody combination for detecting feline NT-proBNP protein and its applications. The monoclonal antibody combination of the present invention comprises monoclonal antibodies 3A6 and 5H5. These two antibodies possess unique heavy and light chain variable region complementarity-determining regions, respectively, and their amino acid sequences have been fully defined (SEQ ID NOs. 1-12). This antibody combination can specifically recognize and efficiently bind to feline NT-proBNP protein, making it suitable for the development of a highly sensitive and specific diagnostic tool for feline cardiomyopathy. By constructing a double-antibody sandwich ELISA assay system, the minimum detection limit can reach 100 pg / mL, and it exhibits excellent specificity and stability.

A query-based generic end-to-end molecular optimization (“QMO”) system framework, method and computer program product for optimizing molecules, such as for accelerating drug discovery. The QMO framework decouples representation learning and guided search and applies to any plug-in encoder-decoder with continuous latent representations. QMO framework directly incorporates evaluations based on chemical modeling, analysis packages, and pre-trained machine-learned prediction models for efficient molecule optimization using a query-based guided search method based on zeroth order optimization. The QMO features efficient guided search with molecular property evaluations and constraints obtained using the predictive models and chemical modeling and analysis packages. QMO tasks include optimizing drug-likeness and penalized log P scores with similarity constraints and improving the target binding affinity of existing drugs to pathogens such as the SARS-CoV-2 main protease protein while preserving the desired drug properties. QMO tasks further improves optimizing antimicrobial peptides toward lower toxicity.

The invention discloses erianin PROTACs as well as a preparation method and application thereof, the structural formula of the erianin PROTACs is # imgabs0 #, E3 Ligand is pomalidomide, and Linker is an alkane chain or a PEG chain. The erianin PROTACs disclosed by the invention are superior to the prior art in the aspects of target protein degradation efficiency, anti-tumor activity, innovativeness, application prospect and the like, and show remarkable technical progress and practical value.

Provided is a pharmaceutical composition, comprising a circular RNA and a drug delivery carrier. It is surprisingly found that compared with conventional linear 1 x siRNAs and circular 1 x siRNAs, increasing the number of tandem repeats in the sense strand to two or more significantly enhances the silencing effect, significantly reduces the expression level of the PCSK9 gene, and mediates the degradation of the PCSK9 protein mRNA. The use of nano-particles for delivering oligonucleotides features improved stability, reduced immunogenicity, improved cholesterol-lowering, aortic plaque load-reducing and anti-atherosclerotic effects, good safety, no significant liver and kidney toxicity, and therefore good prospects in preparing medicaments for treating hypercholesterolemia and a coronary heart disease.

The present invention discloses an interfering RNA for inhibiting PCSK9 gene and use thereof. The interfering RNA comprises a nucleotide sequence set forth in any one or two or more of SEQ ID NOs: 1-40, 73-96. The interfering RNA of the present invention can better target and silence hepatic PCSK9 mRNA, reduce the protein level of PCSK9, enhance LDL-C metabolism, and reduce serum cholesterol, providing a solid technical foundation for the development of siRNA medicaments for the prevention, treatment, and symptom alleviation of PCSK9 gene-mediated diseases.

The invention specifically discloses a composition for detecting NAD < + > and application thereof, and relates to the technical field of biological detection. According to the composition for detecting NAD < + >, the composition comprises an NAD < + > binding protein fragment A connected with an Fc tag, an NAD < + > binding protein fragment B and a connecting peptide, the detection result is accurate and reliable, and meanwhile the technical difficulty, uncertainty and high cost faced by antibody screening in a traditional method are avoided.

The invention provides a fluorescent protein selection marker staygold-ynaMr gene and application thereof, and belongs to the technical field of biological engineering. The method comprises the following steps: replacing codons of L-isoleucine in nucleotide sequences of a fluorescent protein gene staygold and a gene ynaM by using a rare codon ATA to respectively obtain the fluorescent protein gene staygold after codon replacement and the gene ynaMr after codon replacement, and connecting the two segments of genes after codon replacement by using a flexible protein peptide, and the fluorescent protein selection marker staygold-ynaMr gene is obtained. Experiments prove that the gene can obviously improve the screening efficiency of L-isoleucine high-yield strains.

Some aspects of this disclosure provide strategies, systems, reagents, methods, and kits that are useful for the targeted editing of nucleic acids, including editing a single site within the genome of a cell or subject, e.g., within the human genome. In some embodiments, fusion proteins of Cas9 and nucleic acid editing proteins or protein domains, e.g., deaminase domains, are provided. In some embodiments, methods for targeted nucleic acid editing are provided. In some embodiments, reagents and kits for the generation of targeted nucleic acid editing proteins, e.g., fusion proteins of Cas9 and nucleic acid editing proteins or domains, are provided.

The invention discloses a specific antibody MR-34 for targeting a coronavirus MERS-CoV spike protein RBD (Radial Basis Disease). The sequences of the CDRs of the antibody disclosed by the invention are as shown in SEQ ID NO. 1 to SEQ ID NO. 6. The antibody provided by the invention contains CDRs with a specific sequence, and can be specifically combined with an MERS-CoV spike protein RBD structural domain. The antibody provided by the invention is strong in targeting property and high in binding activity, and the antibody prepared by the preparation method provided by the invention is high in purity and can be prepared on a large scale. On the whole, the antibody disclosed by the invention can be used for developing and optimizing an MERS-CoV infection detection method.

The invention discloses an interfering RNA (Ribonucleic Acid) for inhibiting a PCSK9 gene and application of the interfering RNA. The interfering RNA comprises any one or more than two nucleotide sequences as shown in SEQ ID NO: 1-40 and SEQ ID NO: 73-96. The interfering RNA can better target and silence mRNA of the liver PCSK9, reduce the protein level of the PCSK9, enhance LDL-C metabolism and reduce serum cholesterol, and a solid technical basis is provided for research and development of siRNA drugs for prevention and treatment of PCSK9 gene mediated diseases and symptom relief.

The present invention relates, in part, to chimeric proteins comprising consensus interferon, or a variant thereof, and their use as therapeutic agents.

The present disclosure relates in some aspects to methods for analyzing target nucleic acids and their spatial locations in a biological sample. In some aspects, the presence / absence, amount, and / or identity of variant sequences (e.g., single nucleotide variations such as SNPs or point mutations) in a plurality of target nucleic acids in a cell or tissue sample are analyzed in situ in the sample. Also provided are compositions and kits for use in accordance with the methods.