1847 results about "Protein" patented technology

The present disclosure provides drug responsive domains derived from human carbonic anhydrase 2 that can modulate protein stability for human interleukin 15 (IL15) payloads, as well as compositions and methods of use thereof.

The application relates to a method for constructing a target proteome spectrum library and application in micro target proteome analysis, and the method comprises the following steps: performing multiple times of mass spectrum scanning on a target proteome in a data-dependent acquisition mode without dynamic exclusion through different scanning ranges, so as to obtain mass spectrum data of the target proteome, wherein the mass spectrum data of the target proteome comprises primary spectra of multiple scanning ranges of the target proteome and secondary spectra of parent ions in each scanning range, which meet a preset threshold; and performing library searching based on the mass spectrum data of the target proteome to construct the target proteome spectrum library. The application constructs a spectrum library through mass spectrum data in a data-dependent acquisition mode without dynamic exclusion in multiple scanning ranges, performs library searching analysis on DIA data of a micro proteome, improves the success rate of DIA data matching, and further improves the accuracy and sensitivity of DIA data analysis, and improves the accuracy and sensitivity of micro protein identification.

As a series of viscosity-reducing and stabilizing formulations for high-concentration protein formulations, they are finely tuned to significantly reduce the viscosity of high-concentration biopharmaceuticals and increase their stability. Viscosity-reducing and stabilizing formulations can be used for high-concentration biopharmaceutical products and have significant potential to improve stability during manufacturing and storage, thereby increasing the feasibility of high-concentration biopharmaceutical products.

The application discloses a protein cleavage site identification method and system based on mass spectrum data and a storage medium. The original mass spectrum data is preprocessed to obtain mass spectrum-derived peptides corresponding to an input precursor protein sequence; the mass spectrum-derived peptides are compared to the corresponding precursor protein sequence to construct a protein site coverage matrix; based on the protein site coverage matrix, potential cleavage regions and potential cleavage sites in the protein are identified; statistical significance analysis is performed on the potential cleavage sites in the protein to extract cleavage site neighborhood sequences; and the statistical significance of the potential cleavage sites in the protein is used to filter the potential cleavage sites to obtain high-confidence protein cleavage sites. The application has low dependence on known protease cleavage rules, can identify cleavage events mediated by unknown or non-classical cleavage modes, and expands the application range of protein cleavage site identification.

The invention relates to a protein consisting of an amino acid sequence in which at least one modification selected from the group consisting of the following [1] to [7] is introduced in the amino acid sequence represented by SEQ ID NO: 1: [1] a modification in which the amino acid residue at a position 103 is substituted with a lysine residue, [2] a modification in which the amino acid residue at a position 76 is substituted with a cysteine residue, [3] a modification in which the amino acid residue at a position 144 is substituted with a cysteine residue, [4] a modification in which the amino acid residue at a position 134 is substituted with a glycine residue, [5] a modification in which the amino acid residue at a position 222 is substituted with a methionine residue, [6] a modification in which the amino acid residue at a position 73 is substituted with a glutamine residue, and [7] a modification in which the amino acid residue at a position 203 is substituted with a threonine residue.

Multi-scale footprinting of DNA-protein interactions is described. Multi-scale footprint scores may be generated based on chromatin accessibility data, the multi-scale footprint scores indicating protein binding to positions of a genome at different protein size scales. A deep learning model may be trained using the multi-scale footprint scores and corresponding DNA sequences. DNA-protein interactions for a DNA sequence of interest may be predicted using the trained deep learning model. The prediction may include generating sequence attribution scores for the DNA sequence of interest using the trained deep learning model and predicting transcription factor binding sites of the DNA sequence of interest based on the sequence attribution scores.

The application discloses application of a rice disease resistance related gene Os04g55720 in bacterial blight breeding and relates to the technical field of modern biotechnology and genetic engineering technology.The rice disease resistance related gene Os04g55720 has a nucleotide sequence as shown in SEQ ID NO.1, is composed of 2821 nucleotides, has a coding region sequence as shown in SEQ ID NO.2, and has a sequence of 2148 nucleotides; the gene encodes a protein with 613 amino acids, and has an amino acid sequence as shown in SEQ ID NO.3.The application proves that overexpression of Os04g55720 enhances the resistance of rice to bacterial blight by means of molecular biology and biochemical technology, and shows that the rice protein OsPGDH-3 can effectively control the incidence of rice bacterial blight at a relatively low level.The application provides a new idea, strategy and gene resource for green prevention and control of rice bacterial blight.

This invention discloses the application of OfGr64a, or substances regulating the expression of the OfGr64a-encoding gene, or substances regulating the activity or content of OfGr64a, in regulating the feeding amount and / or sucrose sensitivity and / or growth of the Asian corn borer, and / or the application of OfGr64a, or substances regulating the expression of the OfGr64a-encoding gene, or substances regulating the activity or content of OfGr64a, in the preparation of products regulating the feeding amount and / or sucrose sensitivity and / or growth of the Asian corn borer, wherein OfGr64a is any one of the following a1)-a3): a1) a protein with the amino acid sequence shown in Sequence 2 of the sequence listing; a2) a protein with the same biological function obtained by substituting and / or deleting and / or adding one or more amino acid residues of the amino acid sequence shown in Sequence 2 of the sequence listing; a3) a protein with 80% or more identity with the amino acid sequence shown in Sequence 2 of the sequence listing, derived from the Asian corn borer, and having the same biological function. The application can significantly reduce the amount of food consumed by the Asian corn borer, reduce its sensitivity to sucrose, and inhibit its growth.

The present application relates to a kind of enzyme egg yolk liquid and its biological production method, belong to egg product technical field, using including compound plant component such as green pricklyash, Pleurotus eryngii as fermentation substrate, and using Lactobacillus bulgaricus and lactobacillus to ferment, preparation obtains compound plant enzyme, fermentation product can effectively inhibit the activity of oxidase, reduce the oxidative decomposition of lipid, maintain the quality and nutritional value of egg yolk liquid.Pretreated egg yolk liquid is mixed and is subjected to heat treatment, and enzyme egg yolk liquid is prepared.In the process of heat treatment, the protein in egg yolk liquid, including apo-protein, can be decomposed, the interaction between protein molecules is reduced, the formation of gel structure after egg yolk liquid freeze-thaw is reduced, and the bubble characteristics and taste are restored.

The present invention relates to a Single Nucleotide Polymorphism (SNP) marker for determining the degree of protein content of rice seeds and a method for determining the degree of protein content of rice seeds using said marker. Specifically, the present invention relates to an SNP marker for determining protein content and a method for determining protein content using said marker, which constructs a machine learning-based rice protein content prediction model by utilizing SNP markers associated with high and low protein content, thereby enabling the prediction of rice seeds with high protein content in the early stages of growth.

The application discloses a method for preparing an oat-based beverage through biological enzymolysis and a product thereof, and comprises the following steps: continuously hydrolyzing starch, cellulose, protein and other substances in oat slurry by using high-temperature-resistant amylase, cellulase, saccharifying enzyme, papain and alkaline protease, sufficiently releasing reducing substances in the oat, simultaneously generating reducing peptides, improving the free radical scavenging capacity of the oat slurry, and improving the emulsification stability of the oat slurry due to the moderate degradation of macromolecular substances such as starch, cellulose and protein; glycerol is added in three stages at a controlled speed, so that the glycerol is fully mixed with flaxseed oil, and excessive glycerol is avoided from adhering to lipase to reduce the activity of the enzyme, thereby improving the reaction efficiency.

Embodiments of the present disclosure describe a system and method for controlling the pH of a polypeptide-containing mixture. The pH may be controlled for any suitable purpose, for example, to inactivate a virus in the mixture. The method may include the step of eluting a mixture (e.g., an eluent) having a pH greater than, for example, 3.9 and, for example, less than, 8.5 from a chromatography column. The method may further include one or more of the steps of measuring the protein concentration of the mixture and measuring the pH of the mixture. Subsequently, the amount of acid required to reduce the pH of the mixture to a target pH may be calculated based on the protein concentration of the mixture, the pH of the mixture, or both. After calculating the amount of acid to be added, a portion of the acid may be added to the mixture, wherein said portion of the acid is sufficient to achieve the target pH.

A titanium dioxide (TiO2) composition and methods of use, the composition containing surface-modified doped TiO2 nanoparticles (sm-TiO2 NPs) disposed in a polymer matrix material, wherein each sm-TiO2 NP has an outer surface having a plurality of bifunctional linker molecules attached thereto and a plurality of protein molecules linked to the sm-TiO2 NP via the bifunctional linker molecules; and wherein the polymer matrix comprises a polymer precursor component.

The application belongs to the technical field of cottonseed meal processing and animal feed, and particularly relates to application of enzymatic cottonseed meal in preparation of low-protein daily ration, promotion of animal intestinal development, improvement of animal production performance and improvement of carcass quality, wherein the small peptide content, free amino acid content and antioxidant activity of the enzymatic cottonseed meal are all significantly improved compared with cottonseed meal, the change of protein secondary structure and the significant reduction of relative molecular weight are more conducive to promotion of animal absorption of small molecules, are beneficial to animal intestinal health development, and can effectively improve animal growth performance. The feed prepared by replacing part of the conventional feed with the enzymatic cottonseed meal can still achieve the effects of promoting animal intestinal development and improving animal growth performance under the condition that the crude protein content is reduced by 1% to 2% compared with the basic daily ration or the conventional feed, and the feeding cost is significantly reduced compared with the use of the conventional feed.

The invention provides methods to modulate hypoxia-mediated tumor immunity by administration of an O2 carrier polypeptide (eg., an H-NOX protein). The methods of the invention target both hypoxia inducible factor 1 alpha (HIF-1α) pathways and non-HIF-1α pathways of tumor immunity. Such methods are useful in the treatment of a wide variety of cancers and may be used alone or in combination with other anti-cancer therapies.

The invention relates to methods and compositions for preventing or treating a neuropathology in a subject associated with or induced or caused by a P. gingivalis infection, preventing the deposition of or reducing the level of P. gingivalis gingipain in neuronal tissue, delaying the onset of a P. gingivalis-induced or associated neuropathology, for preventing or slowing the rate of abnormal protein deposition in the neuronal tissue, and / or reducing neuroinflammation, the methods comprising administering an RNA polynucleotide encoding a protein comprising or consisting of: - one or more amino acid sequences of an active site of an Arg- or Lys-gingipain of P. gingivalis, or a sequence that is at least 80% identical thereto; and / or - the amino acid sequence of one or more adhesin binding motifs (ABMs) of an adhesin domain of an Arg- or Lys-gingipain of P. gingivalis, or a sequence that is at least 80% identical thereto, wherein the polynucleotide is capable of being translated in a mammalian cell.

The present application relates to the field of biological medicine, and particularly relates to biomarkers for migraine diagnosis, kits and application thereof. The biomarkers related to migraine disease according to the present application include COL4A2, and also include any one or a combination of multiple of MMP-14, LCAT, ADAMTS13 and CPXM2. The present application is based on proteomic data of clinical healthy controls and migraine patients, and uses bioinformatics analysis and machine learning methods to deeply mine protein combinations with the most early warning value for migraine disease diagnosis, and to verify in a clinical cohort with expanded samples, to provide a good prospect for clinical transformation of newly discovered biomarkers, and also to lay a foundation for subsequent mechanism research.

This invention relates to DNA extraction methods from soil and sediments with high humic substances content. The method focuses on the soil preparation phase; removing salts and cations with two different Tris-EDTA (TE) buffers, followed by precipitating humic substances with aluminum hydroxide solution and washing again with TE and cell lysis phase; urea is used as denaturing agents for the cell lysis phase and protein degradation phase while preventing the rediffusion of humic substances with CTAB. The purification can be performed following both the classic phenol chloroform method and using commercial DNA purification columns. This method is very accessible with operation time varying from 1h40 min to 2h30 min. The invention involves the use of TE and aluminum hydroxide solutions for soil preparation, and urea and CTAB as denaturing agents during cell lysis, in the specified concentrations, order, and incubation time, to prevent contamination of final DNA with humic substances

This invention belongs to the field of enzyme engineering technology, specifically relating to an enzyme engineering method and its application in biocatalysis. Based on the excellent performance optimization capabilities of the deep learning-guided protein sequence design model ProteinMPNN, this invention developed a computational design framework called DeepPCD. This framework integrates deep learning-guided sequence design, physical energy calculation, and molecular dynamics simulation, constructing a three-level intelligent screening process from "massive generation" to "high-precision prediction." Using this strategy, nitrile hydrolase (EC 3.5.5.1) was mutated, resulting in a nitrile hydrolase mutant with improved stability, specificity, and enzyme activity, capable of efficiently and specifically catalyzing the hydrolysis of nitrile compounds to carboxylic acids.

Provided is a technique relating to codon optimization. A method for optimizing a nucleic acid sequence for expression of a protein in a host comprises: obtaining a protein subsequence-nucleic acid subsequence pair according to collected highly expressed protein sequences and encoding nucleic acid sequences thereof, so as to form a training set; using the training set to train a neural machine translation model, wherein the neural machine translation model is used to realize translation from an amino acid sequence to a codon sequence; cleaving the protein sequence requiring codon optimization into protein subsequences; using the trained neural machine translation model to translate the protein subsequences from amino acid sequences to codon sequences; and overlapping the translated subsequences, so as to combine same into a full-length codon sequence, wherein during overlapping to synthesize the codon sequence, the synonymous codon with the highest occurrence frequency or number is selected as the optimal codon for the position according to the frequency or the number of the synonymous codon corresponding to each amino acid position of the protein sequence.

Embodiments of the present disclosure generally relate to protein powder compositions and methods for preparing the same. In one or more embodiments, methods include coating a plurality of protein powder particles containing myoglobin with an aluminum oxide coating to form a plurality of coated particles during an atomic layer coating (ALC) process. The protein powder compositions have improved properties over the corresponding uncoated protein powder. The protein powder compositions have greater flowability, density, and a greater level of recoverability over the corresponding uncoated protein powder.

Provided herein are methods for detecting a menstrual cycle disorder. Menstrual cycle disorders is detected through analysis of a property of a collected menstrual fluid sample, such as gene expression, flow rate, protein content, nucleic acid content, biomarkers, or other properties.

The present invention provides an ionizable lipid compound having an optimized carbon chain length and an amine head so that the ionizable lipid compound has increased delivery efficiency for an active molecule including, but not limited to, nucleic acids, proteins, small molecule drugs and the like. The present invention further relates to a lipid nanoparticle (LNP) comprising the ionizable lipid compound and the active molecule, and a pharmaceutical composition comprising the lipid nanoparticle.

The present disclosure relates to methods and kits for analyzing a macromolecule. In some embodiments, the present disclosure relates to macromolecule analysis methods which employ barcoding and nucleic acid encoding of molecular recognition events. Also provided herein is a method and related kits for transferring information using a plurality of enzymes, including for performing a ligation, extension, and cleavage reaction with nucleic acid molecules associated with the macromolecule for analysis. In some embodiments, the macromolecule for analysis comprises a peptide, a polypeptide, or a protein.

The present invention belongs to the technical field of sensorineural hearing. Provided is the use of SPTBN1 as a target in the treatment of GJB2-related sensorineural hearing loss. The use comprises: the construction of a stably transfected cell line, wherein: HEK293T cells are cultured using a DMEM culture medium supplemented with 10% fetal bovine serum and 1% penicillin-streptomycin in a humidified incubator at 37ºC with 95% air and 5% CO2, and when the cells reach 80%-90% confluence, cell passage is performed; IP-MS analysis, wherein: protein complexes are purified using Protein A / G immunoprecipitation magnetic beads, a portion of the extracted proteins is used as input, and then 2 μg of anti-Cx26 antibody is added to the remaining protein extract, same are gently pipetted and mixed, and incubated on a rotating shaker at 4℃ overnight; immunofluorescence observation of the co-localization of Cx26 and SPTBN1, wherein: a stably transfected cell line expressing WT-Cx26 and Mut-Cx26 is constructed; and co-immunoprecipitation (Co-IP) validation, wherein: a stably transfected cell line expressing WT-Cx26 is constructed. The present invention overcomes the limitations of therapeutic methods, such as the relatively low targeting specificity and short therapeutic time windows associated with full-length protein supplementation via gene therapy, thereby providing new insight into GJB2-related hearing loss, and a new target and a new treatment for same.

The present invention provides a universal protein renaturation method and an application thereof, and relates to the technical field of protein renaturation. The method includes the following steps: (1) add 2mercaptoethanol to urea solution to obtain denaturing solution; (2) dissolve a sample including to-be-renatured protein by using the denaturing solution and then freeze the sample, to obtain a frozen body; (3) thaw the frozen body at room temperature, and extract the thawed liquid as soon as the liquid is thawed; (4) dilute the extracted liquid with water, to terminate renaturation and obtain supernatant and precipitate through centrifugation, where the supernatant includes the protein that has been successfully renatured. According to the present invention, protein renaturation recovery efficiency can be improved, and a production batch is stable and reproducible. Operations in the present invention are simple, almost no waste liquid is produced, and no protein is lost. According to the present invention, nine allergen proteins are renatured, to significantly improve the protein renaturation yield. In addition, compared with that in the conventional technology, the protein activity according to the present invention is increased by about 3 times or more.