9 results about "Protein need" patented technology

This invention relates to the field of food technology, and in particular to a protein powder that promotes bowel movements. To address the problems of some protein powders with added dietary fiber, such as poor compatibility between dietary fiber and protein, poor solubility, rough texture, and insignificant bowel improvement effects, ultimately leading to constipation, this invention comprises whey protein powder, casein powder, inulin, fructooligosaccharides, psyllium husk powder, soybean lecithin, and β-mannanase. This protein powder offers dual benefits of protein supplementation and intestinal health regulation. It efficiently supplements the protein needed by the human body, improves protein absorption and utilization, and is suitable for individuals with lactose intolerance and weak intestinal function. Simultaneously, through the synergistic effect of prebiotics, dietary fiber, and enzymes, it gently improves constipation symptoms, regulates intestinal flora balance, enhances intestinal peristalsis, and fundamentally protects intestinal health.

The invention discloses a preparation method of a low-goaty-flavor Tibetan mutton moon cake. Belongs to the technical field of food processing. The Tibetan mutton is used as a main food material, key components in spices are promoted to react with goaty-flavor substances in the Tibetan mutton through ultrasonic waves, so that the goaty flavor of the Tibetan mutton is reduced, and the low-goaty-flavor Tibetan mutton moon cake product is developed. The Tibetan mutton is high in protein content, can supplement protein consumed by human bodies in daily life and can maintain the requirements of the human bodies on the protein; meanwhile, fatty acid composition in fat of the Tibetan mutton is excellent, the proportion of saturated fatty acid to unsaturated fatty acid is balanced, and the Tibetan mutton contains special functional fatty acid and plays an important auxiliary role in human health.

The utility model discloses a novel degossypolized cottonseed protein physical extrusion device which comprises a pressing groove and a side plate, the surface of the side plate is fixedly connected with a supporting frame, a guide rod penetrates through the interior of the supporting frame, an internal thread seat is arranged on the surface of the supporting frame, a lead screw penetrates through the interior of the internal thread seat, and the top of the lead screw is fixedly connected with a grip. A pressing plate is arranged at the bottom of the lead screw, and the lead screw is sleeved with a rotating disc. According to the novel dephenolized cottonseed protein physical extrusion device, the supporting frame is installed on the surface of the side plate, when the extrusion device needs to be applied, the lead screw rotates in the internal thread base, dephenolized cottonseed protein can be extruded at the moment, and after extrusion is completed, if the dephenolized cottonseed protein is bonded to the bottom of the pressing plate, the dephenolized cottonseed protein needs to be cleaned; the first fixing plate and the second fixing plate are connected to the two sides of the pressing plate in a sleeving mode to be fixed, at the moment, the scraping plate can be started to slide, the scraping plate directly scrapes dephenolized cottonseed protein at the bottom of the pressing plate, and cleaning is convenient.

The invention discloses a function prediction method based on migration lifelong learning and three-level structure information. Protein data is processed and divided into three GO subdata sets, and three-dimensional structure features, sequence features and PPI topological features are constructed; the features are integrated to form a complete protein interaction network; inputting into a GAT model, outputting enhanced graph sharing features, and constructing a Fisher information matrix at the same time; a GAT model and three classifiers are combined and trained, the classifiers calculate and output predicted values through a linear layer, final loss is obtained according to task specific loss, elastic weight and regularization loss, a prediction model is updated, and finally updated parameters and feature information are stored in a Fisher information matrix; and inputting the protein needing to be predicted into the prediction model, and outputting a prediction result. According to the method, the problem of disastrous forgetting in multi-task learning is solved, the model design is effectively simplified, the waste of computing resources is reduced, and the prediction efficiency and accuracy are remarkably improved.

The utility model discloses a fusion protein storage device, which belongs to the technical field of fusion protein storage devices, and is characterized by comprising a storage component, and a cooling component is slidably connected into the storage component; the cooling assembly comprises a drawing hole, an ice block storage box is slidably connected into the drawing hole, a top plate is slidably connected to the top of the ice block storage box, a mounting hole is formed in the top of the top plate, a conical block is clamped into the mounting hole, and a circular pipe communicates with the interior of the conical block. A sealing groove is formed in the front side of the drawing hole, a sealing block matched with the sealing groove for use is fixedly connected to the front side of the ice block storage box, and the problems that most existing fusion protein storage devices are of fixed structures, under some special conditions, protein needs to be transferred, most existing transfer is achieved through a simple sealed storage box, and operation is inconvenient can be solved. The long-time storage of the protein is inconvenient.

The invention relates to the technical field of food processing technologies, and discloses a method for tenderizing beef and textured soybean protein in beef paste, and the beef paste frying comprises the following process flows: vegetable oil, sesame, chili powder, spices and water, beef granules, textured soybean protein, old ginger, garlic, powdery condiments and pasty condiments; the beef granules and the soybean drawing protein need to be pretreated before being fried; the beef granules are tenderized by citric acid, and the soybean drawing protein is tenderized by alkaline protease. According to the scheme, the beef and soybean drawing protein pretreatment mode and the processing technology are optimized, so that the soybean drawing protein is compact and has the chewing feeling of meat, meanwhile, the hardness of the beef and soybean drawing protein in the beef paste is reduced, the tenderness of the beef and soybean drawing protein is synchronous, and the taste of the product is improved.

The invention discloses a transferrin receptor mediated protein intracellular delivery prodrug and application thereof, and belongs to the technical field of protein modification and transport. The invention provides a carrier-free universal method for intracellular high-efficiency delivery of tumor-targeted protein. According to the method, protein needs to be pre-modified through a connector capable of achieving redox response, and then the protein is combined with cyclic disulfide. This modification enables the protein to be efficiently delivered into cells in a manner that reacts with transferrin receptors. The simple, convenient and efficient delivery technology provides a new strategy for clinical application of antitumor protein drugs.

The present invention relates to the technical field of protein structure prediction, and relates to an optical quantum computer-based protein structure prediction method, system and apparatus. The method comprises: 1) obtaining a multiple sequence alignment (MSA) matrix of a target sequence on the basis of target sequence alignment of a protein needing to be predicted; 2) encoding the obtained MSA matrix into a (0,1) matrix; 3) converting interaction of amino acids of the protein into an undirected graph model of (0,1) state nodes, and using a Boltzmann machine training mechanism and an optical quantum computer to perform training to obtain weight coefficients of edges connecting nodes in the undirected graph model; and 4) obtaining coefficients of interaction between different amino acids of the protein on the basis of the weight coefficients. The present invention improves the computation efficiency and solution result of protein structure prediction, and solves the problems in the prior art that it is difficult to perform computation for complex scheduling problems and accurate solutions cannot be obtained.

The invention discloses a preparation method of pseudosciaena crocea roe protein gel under low protein solubility. The preparation method comprises the following steps: preparing a gellan gum solution, adding pseudosciaena crocea roe protein powder, stirring at a high speed, and heating to form gel. The large yellow croaker egg protein gel is obtained on the premise of not adjusting the pH value by utilizing the methods of mixing the large yellow croaker egg protein and gellan gum, stirring and swelling at a high speed and performing thermal induction, and the prepared large yellow croaker egg protein gel has the energy storage modulus of 74-315Pa and the water-holding capacity of 97% or above at the frequency of 1Hz. The preparation method is simple in steps and convenient to operate, a traditional method that protein needs to be dissolved after pH adjustment and then gel is formed is changed, and the prepared gel has high nutritional value and good gel characteristics and can be used as novel food gel to be applied to the food industry.