12 results about "Complete protein" patented technology

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 provides a single-chain and double-protein-expressed circular RNA construct and a preparation method and application thereof, and the single-chain and double-protein-expressed circular RNA construct comprises 5'and 3 'introns used for realizing RNA self-splicing and cyclization as a first kind of introns; the 5'and 3 'homologous arms are used as pairing sites in RNA molecules; the exon 1 and the exon 2, which are connected after being spliced, can be spliced and connected together under the action of the first type of introns to form a complete and continuous open reading frame; an interval sequence for providing spatial and adjustment sequence structures; the IRES is used for starting translation; a glycine-serine linker as a flexible linker; a green fluorescent protein for gene expression monitoring; a luciferase for producing light by a catalytic chemical reaction. All the advantages of the double-IRES system for generating natural complete protein are reserved, and the core defect of low efficiency can be thoroughly overcome.

The invention discloses China-hemp peptide multi-nutrient protein powder with a metabolism improving function, which comprises China-hemp seeds, soybean protein isolate, China-hemp seed protein, chickpea protein, pea protein, China-hemp peptide, rice protein, broad bean protein, mung bean protein and wheat hydrolyzed protein. Wherein the Chinese hemp seeds are 15-25 parts, the soybean protein isolate is 10-20 parts, the Chinese hemp seed protein is 5-15 parts, the chickpea protein is 8-12 parts, the pea protein is 8-12 parts, the Chinese hemp peptide is 8-15 parts, the rice protein is 5-10 parts, the broad bean protein is 5-10 parts, the mung bean protein is 5-10 parts, and the like. According to the present invention, besides the protein nutrition, the small molecule peptide and 10 other nutrients such as Omega3, gamma-linolenic acid, vitamin E and a variety of minerals are contained, such that the complete protein nutrition is provided, and the health-care food is rich in Omega-3 fatty acid, gamma-linolenic acid, vitamin E, potassium, magnesium, zinc and other minerals with different molecular magnitudes extracted from China-hemp seeds, the ten nutrients, a plurality of plant proteins and small molecule peptides have a synergistic effect to jointly form a basis for improving the metabolic function.

The application relates to a protein completion method and device, a computer device and a storage medium. The method comprises the following steps: acquiring a training protein set; the training protein set comprises a plurality of training protein data; each training protein data comprises a protein structure with a missing functional domain, a complete protein structure, a protein sequence with a missing functional domain and a complete protein sequence; based on a preset initial model, the initial model is trained according to the training protein set to determine a target completion model; acquiring to-be-predicted protein data; the to-be-predicted protein data comprises a to-be-predicted missing protein structure, a to-be-predicted complete protein structure and a to-be-predicted missing protein sequence; based on the target completion model, protein sequence completion is performed on the to-be-predicted protein data to determine a complete protein sequence, so that the protein sequence is completely and accurately completed.

The invention discloses a preparation method of a functional jelly product free of artificially synthesized pigment and capable of slowly releasing curcumin, and belongs to the technical field of food processing. The jelly comprises the following components in percentage by weight: 8%-10% of jelly powder, 3%-5% of white granulated sugar, 0.2%-0.4% of citric acid and 0.2%-0.8 mg / g of soybean protein isolate-curcumin-kappa-carrageenan aggregate particles. According to the invention, the soybean protein isolate and kappa-carrageenan composite agglomerate is utilized to encapsulate curcumin, so that curcumin particles have excellent illumination stability and bioavailability, and further the jelly is endowed with excellent color, elasticity, longer shelf life and excellent oxidation resistance. In addition, the soybean protein used in the method is low in cost and rich in essential amino acid, and belongs to complete protein. After digestion, carrageenan can be subjected to glycolysis by large intestine bacteria to form short-chain fatty acids such as formic acid, acetic acid and propionic acid, and the short-chain fatty acids become an energy source of probiotics. The preparation method provided by the invention is of great significance to design and manufacture of a functional jelly formula.

A method of manufacture and a composition for the technology as disclosed herein, which includes a method of manufacture and composition for a dough tortilla item including protein. The dough tortilla composition as disclosed and claimed herein can be manufactured using a corn masa based flour and / or utilizing other grain based flours such corn, rice, barley. For one implementation of the technology other leguminous based flours or chestnut base flours, or various bean base powder, or cauliflower based powders used individually or in combination with any of the other types of flours described herein. The technology as disclosed and claimed provides a dough based tortilla or other dough based item that is a protein enhanced alternative to conventional tortillas and other dough based products. This invention results in a dough tortilla that has more protein, more complete protein, and fewer carbohydrates than conventional wheat dough tortilla.

The invention discloses a method for on-line hydrogen deuterium exchange mass spectrometry analysis of a protein structure. A capillary electrophoresis-mass spectrometry (CE-MS) technology is used, a capillary tube is used as a microreactor for protein hydrogen-deuterium exchange reaction, and conformation-sensitive deuterated labeling of protein is completed in the electromigration process; introducing an acidic sheath fluid through a combined interface to carry out reaction quenching, and carrying out complete protein structure analysis by utilizing a Top-down analysis strategy; according to the method, the reaction, separation and detection of the protein in the capillary tube in the migration process are realized in one step, the hydrogen-deuterium exchange mass spectrometry step is simplified, the on-line hydrogen-deuterium exchange time can be accurately controlled, the reverse exchange is effectively inhibited, and the structural characteristics of the protein in a solution state are conveniently and quickly revealed by comparing the deuteration rate change of different peptide fragments of the protein.

The present invention relates to a powdered nutritional composition comprising intact protein and partially hydrolyzed whey protein and a dry blending process for obtaining the powdered nutritional composition.

This invention discloses a multi-view structural prior negative sampling method for predicting drug-target interactions, belonging to the field of bioinformatics. The method includes: acquiring a drug-target bipartite graph, corresponding drug features, and target protein features (as well as the corresponding drug SMILES sequences and the complete protein structure PDB file); applying a multi-view negative sampling strategy to the drug-target bipartite graph, corresponding drug features, and target protein features to generate drug-view negative sample sets, protein-view negative sample sets, and random-view negative sample sets, and then fusing them to obtain a negative sample set; using a heterogeneous graph convolutional network to perform feature learning on the drug-target bipartite graph and calculating the interaction prediction probability corresponding to each negative sample. This invention, through a multi-view structural prior-guided negative sampling mechanism, effectively utilizes the similarity knowledge between the chemical structure of the drug and the spatial structure of the target protein, reducing the risk of false negative samples and improving the quality of negative samples.

Fine bakery product based on wheat and legume flours. The invention relates to a leavened bread product, such as sandwich bread or buns, containing wheat flour, soy flour, chickpea flour, yeast or sourdough starter, water, fat, and optionally salt and sugar. Preferably, it also contains one or more vegetable flours. It thus provides a natural source of complete proteins, fiber, vitamins, and minerals. The invention also relates to an advantageous manufacturing process that gives this bread product a volume, texture, and softness comparable to those of traditional bread products, despite the addition of legume flours and possibly vegetable flours. Figure to be published with the abstract: Figure 6

A method and corresponding kit for detecting Sjögren's Disease or predicting labial salivary gland biopsy results. The method includes evaluating an individual for the presence of one or more peptides or whole proteins or fragments thereof having an amino acid sequence selected from SEQ ID NOS: 1-67. The method and kit may be formatted as an enzyme-linked immunosorbent assay (ELISA).

The application discloses a kind of Top-Down mass spectrum protein identification methods based on deep learning, comprising: the Top-Down mass spectrum data of the complete protein form to be identified is preprocessed and encoded to obtain spectrum vector representation;By peak encoder, its encoding obtains spectrum latent feature representation;The precursor monoisotopic mass and the distribution of multiple charge state are jointly embedded to obtain prior constraint vector;With spectrum peak energy distribution, monoisotopic mass is adaptively segmented to obtain sub-section mass budget;Sequence decoder performs beam search constrained by mass budget in each subsection and splices into skeleton sequence;By diffusion model, low confidence area is iteratively refined in multiple steps, and the denoising process is jointly guided by global mass consistency, local fragment matching degree and modification site compatibility, and outputs complete protein form containing post-translational modification site annotation and confidence score thereof.The application does not need to be cut and database dependent, can identify long sequence and post-translational modification, significantly improve recognition accuracy and generalization.