8138 results about "Protein" patented technology

The invention discloses a ruminant feed capable of replacing soybean meal as well as a preparation method and application of the ruminant feed. The ruminant animal feed is prepared from the following raw material matrixes in parts by weight through compound probiotic fermentation: 45-55 parts of corn sugar residues, 15-25 parts of corn steep liquor, 10-20 parts of corn germ meal, 3-8 parts of extruded soybeans, 3-8 parts of corn protein powder, 2-4 parts of urea and 0.5-1.5 parts of lysine. The compound probiotics are prepared from saccharomyces cerevisiae, lactobacillus plantarum and bacillus subtilis. The invention further discloses a preparation method of the ruminant feed and application of the ruminant feed in completely replacing soybean meal in daily ration of ruminants. The ruminant feed disclosed by the invention can completely replace soybean meal in daily ration of ruminants, and even if the ruminants are in a fattening period, the soybean meal does not need to be additionally added to maintain protein supply, so that the feed cost is effectively reduced, and multiple targets of saving cost, improving efficiency and protecting environment are achieved.

This disclosure provides methods for spatial profiling of biological analytes present in a biological sample. Methods include generating feature arrays using a master / copy format using recessed arrays, and methods for using such arrays. For example spatially-tagged analyte capture analytes can be used in spatial detection in methods to determine the location of analytes (e.g., proteins) in biological samples.

The invention discloses a protein palmitoyl transferase prediction method and system based on a multi-branch deep convolutional neural network, and belongs to the technical field of bioinformatics and artificial intelligence. The method comprises the following steps: S1, obtaining a to-be-detected protein sequence; s2, inputting the protein sequence into a pre-trained iPalmT model; and S3, judging whether the target protein is palmitoyl transferase or not according to a model output result. The iPalmT model comprises a coding module, two paths of parallel convolution branches, a feature fusion module and a classification module; and after the convolution layers of each convolution branch are stacked, an SE module is arranged and is used for channel weighting and feature re-calibration. The model extracts multi-level sequence features through convolution kernels of different scales, realizes high-precision prediction through feature fusion and a residual structure, can automatically learn multi-scale features from large-scale data, realizes end-to-end palmitoyl transferase recognition, and has high accuracy and good universality.

The invention discloses a protein generation model optimization method based on deep learning, and relates to the technical field of protein generation. The optimization method comprises the following steps: generating a candidate protein electron density distribution diagram based on the structural characteristics of a target spot by adopting a pre-trained diffusion model; converting the candidate protein electron density distribution diagram into a corresponding amino acid sequence; determining a functional index value corresponding to the amino acid sequence, and constructing a feedback data set; setting a reward threshold value, and marking the feedback data set as a positive sample data set and a negative sample data set according to the reward threshold value; constructing a utility function taking the reward threshold as a reference point, and respectively calculating utility values of the positive sample data set and the negative sample data set; and performing iterative optimization on the diffusion model according to the utility value. By adopting the technology provided by the invention, the dependence on preference paired data of large-scale and high-quality protein sequences can be avoided, and the performance of the protein generation model can be effectively and continuously improved.

The invention belongs to the technical field of antibacterial peptide activity identification and evaluation, and relates to an antibacterial peptide activity and MIC value combined prediction framework based on cross-modal deep learning, and the framework uses a protein language model ESM2 to respectively carry out token-level semantic embedding coding on an antibacterial peptide sequence and a pathogen protein sequence; performing cross-modal feature extraction and fusion through a multi-branch structure comprising a Mama module, a multi-head self-attention mechanism and DASM 1D convolution; a multi-task decoding structure is adopted to realize antibacterial peptide activity classification and MIC value regression prediction at the same time; according to the method, functional characteristics in the sequence can be effectively mined, the accuracy and generalization ability of antibacterial peptide activity and MIC value prediction are remarkably improved, and a reliable calculation tool is provided for high-throughput screening and rational design of the antibacterial peptide.

Provided are compounds that may bind a target protein, and result in modification of the target protein. The compounds may further bind a modifier protein. The modifier protein may carry out or enhance the modification of the target protein. The modification may activate or reactivate the target protein. Also provided are methods of using the compounds.

This invention discloses a milk protein containing composition comprising: at least one milk protein; at least a first protein; at least a second protein; and at least a linker comprising an amino acid sequence coded by nucleotide sequence which is at least 80% similar to sequences selected from the group consisting of SEQ ID NO: 14, SEQ ID NO: 15, SEQ ID NO: 16, SEQ ID NO: 17, SEQ ID NO: 18, SEQ ID NO: 19, SEQ ID NO: 20, and SEQ ID NO: 21

The present disclosure is directed to bifunctional small molecules which contain a circulating protein binding moiety (CPBM) linked through a linker group to a cellular receptor binding moiety (CRBM) which is a membrane receptor of degrading cell such as a hepatocyte or other degrading cell. In certain embodiments, the (CRBM) is a moiety which binds to asialoglycoprotein receptor (an asialoglycoprotein receptor binding moiety, or ASGPRBM) of a hepatocyte. In additional embodiments, the (CRBM) is a moiety which binds to a receptor of other cells which can degrade proteins, such as a LRP1, LDLR, FcγRI, FcRN, Transferrin or Macrophage Scavenger receptor.

The present disclosure relates to systems, non-transitory computer-readable media, and methods that utilizing compound-protein machine learning representations to generate target results. For example, the disclosed systems can utilize a compound-protein interaction machine learning model to generate a compound-protein machine learning representation for compound protein pairs. The disclosed systems can utilize the compound-protein machine learning representation to train and utilize other target machine learning models in generating predicted bioactivity results. For example, the disclosed systems train a target machine learning model from compound-protein machine learning representations to generate ADMET predictions and / or biological perturbation program predictions. Furthermore, the disclosed systems can utilize one or more explainability models in conjunction with target machine learning models trained based on compound-protein machine learning representations to identify proteins that contribute to predicted bioactivity results.

The invention provides a nylon 6 nanofiber virus-removing filtering membrane and a preparation method and application thereof.The nylon 6 nanofiber virus-removing filtering membrane comprises a base material and a nylon 6 nanofiber membrane compounded to the surface of the base material, the average pore size of the virus-removing filtering membrane is 20 nm, the virus-removing filtering membrane plays a role in blocking parvoviruses, the surface of the virus-removing filtering membrane is charged, and the surface of the virus-removing filtering membrane is not prone to being damaged. Proteins with the same charges on the surface can be prevented from adhering to the surface of the fiber. In the preparation process of the virus-removing filtering membrane, the nylon 6 nanofibers with a certain diameter range are selected and compounded on the surface of the base material in a stable dispersion state, the uniform microporous virus-removing filtering membrane is prepared, the effect that parvoviruses are blocked and protein molecules are not easily intercepted is achieved, the hydrophilicity of the nylon 6 nanofibers is relatively good, and the virus-removing filtering membrane has a good application prospect. The non-specific adsorption of the filtering membrane on the protein is reduced; the nylon 6 nanofiber virus-removing filtering membrane can be applied to the field of biological medicine products, and has important significance on separation and purification of biological preparations.

This disclosure provides nanoparticle compositions, and use thereof for isolating and measuring proteins, protein degrader action, and cells. The disclosed nanoparticles can be identified by barcodes that reveal the identity of and post translational modifications to the bound protein using image processing techniques described herein.

The invention provides recombinant IV type collagen and application thereof, and relates to the technical field of protein engineering. In the invention, an amino acid residue repetitive unit with good biological activity and stability in the human-derived IV-type collagen is found, and the amino acid residue repetitive unit is used as a core for repeating and constructing the recombinant IV-type collagen, so that the novel human-derived recombinant IV-type collagen with biological activity is obtained. The human-derived recombinant IV-type collagen provided by the invention is a small-molecular-weight protein, is easy to absorb by a human body, is good in safety, can remarkably promote secretion of collagen, also has the effects of promoting cell adhesion and cell migration, and has a good application prospect in the aspects of basement membrane repair and remodeling. A new functional component is provided for products for repairing and tightening the skin, resisting aging, resisting wrinkles, preserving moisture and the like.

The invention relates to the technical field of medicine analysis and detection, and particularly discloses a method for detecting the content of protein in a 3D-MLA adjuvant, which comprises the following steps: (1) preparing a test solution: firstly dissolving the 3D-MLA adjuvant by using a hydrochloric acid solution, performing 300-600W ultrasonic treatment for 2-5min, centrifuging 10000-13000g for 4-7min, and taking supernate; adding a compound enzyme into the supernate for enzymolysis; then adding concentrated hydrochloric acid, uniformly mixing, hydrolyzing for 20 + / -2 hours in a nitrogen atmosphere at 105-115 DEG C, blow-drying, and dissolving with a hydrochloric acid solution to obtain a test sample stock solution; adding a derivatization reagent into the test sample stock solution, and carrying out derivatization treatment, extraction and dilution to obtain a test sample solution; and (2) high performance liquid chromatography determination. According to the detection method provided by the invention, the residual quantity of the host cell protein in the 3D-MLA can be rapidly and accurately determined, and the quality control of the 3D-MLA is realized.

The present invention relates to modified Dda helicases which can be used to control the movement of analytes such as polynucleotides. The modified Dda helicases are used in analyte detection and characterisation. The present invention also relates to novel protein pores and their uses in analyte detection and characterisation. The invention particularly relates to an isolated pore complex formed by a CsgG-like pore and a modified CsgF peptide, or a homologue or mutant thereof, thereby incorporating an additional channel constriction or reader head in the nanopore.

The present disclosure relates to compositions and methods comprising a yeast cell wall extract and a clay material admixed to a proteinaceous and / or cell wall extract(s) from bacterial or fungal fermentation from amino acid production. In another embodiment, the present compositions comprise a yeast cell wall extract, a clay material, and an algal material admixed to a proteinaceous and / or cell wall extract(s) from bacterial or fungal fermentation from amino acid production. This disclosure also relates to methods of utilizing the same to sequester and / or adsorb mycotoxins internal or external to an animal, thereby reducing and / or preventing the toxic and harmful effects of mycotoxin contamination and / or infection in animals. Specifically, application of the present methods and compositions are found in the dietary administration and / or co-administration of the present compositions to animals in animal feed and / or animal production systems, as well as in therapeutic, prophylactic, and research applications.

The invention relates to a motif search-based enzyme element deep learning mining method and system and application thereof, and the method comprises the following steps: determining at least one conservative motif according to the structure positioning requirement of a target enzyme; scanning in a pre-constructed large-scale protein amino acid sequence local database, and obtaining an amino acid sequence set corresponding to the conservative motif through motif search as a seed protein amino acid sequence set; performing fine adjustment on the pre-trained protein large language model; combining the fine-tuned protein large language model with a reference high-speed framework, performing multiple rounds of iterative mining, and expanding a candidate sequence set in each round by adopting a union set retention strategy and a clustering sampling strategy; and screening and filtering the candidate sequence set obtained by iterative mining by using a conservative motif to obtain a final candidate enzyme sequence to be subjected to experimental verification. Compared with the prior art, the method has the advantages of being capable of achieving both efficient excavation and excavation reliability.

The invention discloses a grain specific promoter in the early stage of rice filling and application thereof, the promoter is named as proASP1, and the nucleotide sequence of the promoter is shown as SEQ ID NO: 1. The promoter has highly strict spatio-temporal expression specificity, the activation expression of the promoter is only limited in grains in the early stage of rice filling (4-12 days after flowering), especially the expression of genes is efficiently driven in endosperm and aleurone layers, and the expression is not leaked in other tissues such as roots, stems, leaves, leaf sheaths and glumes and grains in the middle and later stages of filling. The invention provides a basic and precious molecular tool for gene function research, quality improvement (such as protein and starch synthesis regulation) and bioreactor development in a key window period of rice grain development, and has important scientific research and application values.

The invention belongs to the technical field of plant genetic engineering, and discloses application of an OsSRO1c gene in controlling high-temperature resistance of rice. The OsSRO1c gene capable of improving the drought tolerance of rice is obtained through separation, cloning and functional verification, the nucleotide sequence of the OsSRO1c gene is as shown in SEQ ID NO.1, and the sequence of protein coded by the gene is as shown in SEQ ID NO.2. The gene OsSRO1c for controlling rice high-temperature response is cloned, CRISPR mutant phenotype identification is carried out on candidate genes, high-temperature stress phenotype identification in a seedling stage and an adult-plant stage shows that when a gene segment is deleted, the high-temperature resistance of rice is reduced, and when the expression quantity of the gene is increased, the high-temperature resistance of rice is improved, and the function and the application way of the gene are proved.

A complex bait data set construction method based on structure and sequence collaborative redundancy elimination belongs to the field of bioinformatics, and comprises the following steps: screening an initial protein complex structure set, removing entries containing nucleic acids, small molecules or non-protein chains, and selecting binary complexes meeting integrity and resolution requirements; secondly, structure clustering and sequence clustering are carried out based on three-dimensional structure similarity and sequence homology, combined comparison is carried out on the two results, and redundant compound entries which are highly similar in structure and sequence are removed; then, taking each cluster representative compound as a target, generating a plurality of groups of bait structures by using a molecular docking or prediction modeling method, and calculating a quality index; and finally, performing stratified sampling and proportion balance based on the score interval of the quality index, and constructing a high-quality protein complex bait data set with structure and sequence collaborative redundancy elimination and balanced quality distribution. The data set generated by the method has the advantages of low redundancy, high diversity and quality distribution controllability.

The invention discloses lysozyme, antibacterial peptide derived from the lysozyme and application of the lysozyme in preparation of antibacterial drugs. According to the invention, 1, 640 protein sequences recorded in a ruminant rumen caterpillars genome database are systematically predicted based on a lysozyme prediction model, and finally, the lysozyme with the amino acid sequence as shown in SEQ ID No.1 is relatively strong in antibacterial activity and stable in antibacterial activity, and is slightly influenced by environmental factors. According to the invention, an antibacterial peptide region of the lysozyme is analyzed and determined, three peptide fragments with clear antibacterial activity are identified, and the amino acid sequences of the peptide fragments are respectively shown as SEQ ID No.2, SEQ ID No.3 or SEQ ID No.4. The antibacterial peptide provided by the invention has relatively strong membrane destroying ability and broad-spectrum antibacterial activity, and compared with integral protein, the antibacterial peptide is simpler in structure and more flexible in synthesis and modification, and is easier to break through a bacterial drug-resistant mechanism.

The invention discloses a peanut quality character selective breeding method based on whole genome SNP and application, and relates to the technical field of crop breeding, the method comprises the specific steps of data acquisition, SNP optimization and marker screening, model construction and new strain breeding; by integrating whole genome re-sequencing, SNP optimization marker screening and mixed deep learning model construction, peanut quality character prediction and breeding value evaluation are achieved, through whole genome re-sequencing and quality control processes, an SNP variation map is obtained, ten key quality characters including protein, oil content, oleic acid and the like are covered, and the breeding value of peanuts is evaluated. According to the method, comprehensive genetic information is provided for subsequent analysis, a feature marker set is formed by screening out sites in the SNP optimization and marker screening link, interference of low-quality sites is avoided, a whole genome selection model is obtained by adjusting and training a mixed deep learning model and optimizing hyper-parameters through ten-fold cross validation, the breeding period is shortened, and the breeding efficiency is improved. And the prediction error rate is reduced.

Provided herein are engineered immune cells and populations thereof for administration to patients to treat cancer (e.g., solid tumors or liquid tumors) and other conditions. The cells are engineered to functionally express a reduced level of one or more of RFX5, NLRC5, TAP2, β2m, TRAC, RFXAP, CIITA and RFXANK. The cells optionally are further engineered to express one or more than one additional protein such as an antigen binding protein (e.g., a chimeric antigen receptor (CAR) or T cell receptor) to target tumor cells or other damaged cells in the patient and / or to express other genes at a reduced level. Also provided are methods of making and using the engineered cells, compositions and kits comprising them, and methods of treating by administering the cells and the compositions.

The invention provides application of an OsRTD1 gene in improving drought resistance of rice, and belongs to the technical field of gene engineering and rice drought resistance. The nucleotide sequence of the OsRTD1 gene is as shown in SEQ ID NO: 1, and the amino acid sequence of the protein coded by the OsRTD1 gene is as shown in SEQ ID NO: 2. Compared with a wild plant, the survival rate of the OsRTD1 gene mutant plant osrtd1 under the drought stress of PEG induction and soil dehydration is remarkably improved, the survival rate of the OsRTD1 gene overexpression plant OsRTD1-OE under the drought stress is remarkably reduced, the relative water loss rate of dehydrated leaves is higher, and the survival rate of the OsRTD1 gene overexpression plant OsRTD1-OE under the drought stress is remarkably reduced. The total grain number, the solid grain number, the total grain weight and the like of the OsRTD1 gene mutant plant osrtd1 under the stress of field drought are obviously higher than those of a wild plant. The OsRTD1 gene is a potential candidate new target for regulating and controlling a rice drought resistance mechanism.

According to the invention, a glycosyl transferase mutant derived from Bacillus licheniformis ZSP01 is used as a research object, AlphaFold 2 is used for constructing a three-dimensional structure of a protein, then technologies such as molecular docking and molecular dynamics simulation are used for analyzing amino acids far away from a catalytic center in glycosyl transferase, site-directed mutagenesis is carried out on the amino acids, and the glycosyl transferase is obtained. The activity of the mutant for catalytically synthesizing the icariside D2 glycosyltransferase is improved.

The invention relates to the technical field of gene engineering, in particular to application of a rice OsSAUR4 gene in regulation and control of rice drought tolerance, and the sequence of the rice OsSAUR4 gene is selected from any one of the following: 1) a nucleotide sequence as shown in SEQ ID NO.1; 2) a protein sequence as shown in SEQ ID NO.2, and 3) a sequence of which the homology with the nucleotide sequence as shown in SEQ ID NO.1 is more than 90%. The rice OsSAUR4 gene is knocked out, so that the drought tolerance of rice is improved, and the survival rate of rice in a drought stress environment is improved.

The application discloses a method for recovering active glycoprotein Patatin from potato starch processing waste juice, and belongs to the technical field of protein extraction. The method is characterized in that the active Patatin protein is efficiently separated by using the combination of ammonium sulfate fractionation precipitation, anion exchange chromatography, Con A affinity chromatography and gel chromatography, and the obtained Patatin protein retains the original protein structure and biological function activity. Compared with the prior art, the method has better separation purity and higher efficiency, and the obtained Patatin protein has complete protein higher structure and function activity, and has a better application scene.

The invention relates to a wheat protein content prediction method and device and a medium, and relates to the technical field of protein content prediction.The wheat protein content prediction method comprises the following steps that near infrared spectrum data of wheat and the corresponding protein content are obtained, and global feature vectors and partition feature vectors of the near infrared spectrum data are extracted; adopting a multi-layer perceptron MLP as a base to construct a wheat protein prediction model; fusing the global feature vector and the partition feature vector to construct a wheat spectral feature vector, and inputting the wheat spectral feature vector and the protein content into a wheat protein prediction model for training to obtain a trained wheat protein prediction model; collecting near infrared spectrum data of wheat to be predicted; and inputting near infrared spectrum data of to-be-predicted wheat into the trained wheat protein prediction model to obtain a protein prediction value of the to-be-predicted wheat. According to the invention, rapid and lossless prediction of the wheat protein content is realized.

The invention discloses a recombinant subunit vaccine for resisting trichomonas pigeonae infection and a preparation method of the recombinant subunit vaccine. The vaccine comprises two recombinant proteins with sequences as shown in SEQ ID NO: 7 and SEQ ID NO: 8 respectively and a pharmaceutically acceptable carrier. According to the invention, Sf9 cells are used for respectively expressing trichomonas pigeonae adhesion protein 33 and adhesion protein 65, the immunogenicity of the obtained recombinant protein is similar to that of natural protein, the expression level is high, the immunogenicity is strong, a very small amount of recombinant protein can provide a better immune protection effect, and the recombinant protein has no pathogenicity to pigeons, and can be used for preparing the recombinant protein for preventing and treating trichomonas pigeonae. Meanwhile, large-scale serum-free suspension culture can be carried out through a bioreactor, so that the vaccine production cost is greatly reduced.

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.

Provided herein are certain compounds and imaging agents useful for detecting a disease or condition associated with protein aggregation, compositions thereof, and methods of their use.