8 results about "Protein profile" patented technology

The disclosure relates generally to compounds and methods for selective gas phase enrichment of modified peptides for reactive protein profiling.

This invention relates to the field of bioinformatics processing and medical laboratory data analysis, specifically a method for classifying hepatitis B antibody patterns based on plasma protein profiles. The method includes: acquiring host hardware information of the execution environment and extracting central processing unit (CPU) cache parameters; acquiring a high-dimensional sparse one-dimensional array and extracting non-zero feature indices; performing mapping calculations using a locality-sensitive hashing (LSH) algorithm to reconstruct the data into a locally dense two-dimensional matrix; dynamically segmenting the data into independent sub-blocks according to cache parameters and initial segmentation dimensions; performing low-rank tensor decomposition on the independent sub-blocks to extract local latent feature vectors; concatenating the sub-blocks, weighting them through a single-layer attention network, and inputting the result into a classifier function to output a target classification pattern vector; and generating dimension update instructions based on a preset dynamic adjustment mechanism to adjust subsequent segmentation dimensions. This invention achieves lower memory peaks, higher cache hit rates, and stable multi-label pattern output capabilities.

The invention provides a characteristic protein spectrum model for detecting uremia and a construction method. Wherein the marker polypeptide composition is mainly carbamoyl hemoglobin of alpha / beta globin, and comprises eight marker polypeptides with the following mass-to-charge ratios: 7564 m / z, 7585 m / z, 7934 m / z, 7956 m / z, 8476 m / z, 15127 m / z, 15170 m / z, 15868 m / z, 15911 m / z and 16952 m / z. The mass spectrum model disclosed by the invention can be used for detecting uremia. The detection method provided by the invention is simple, easy to operate and high in accuracy, and provides a new method and idea for uremia detection.

The application discloses a kind of inherent disordered region prediction methods based on protein atlas double-scale features, it is related to protein structure prediction technical field.The method steps are:S1, obtain the original amino acid sequence of protein to be predicted;S2, utilize protein encoder to carry out feature coding to the original amino acid sequence of protein, obtain residue level embedding matrix feature and three-dimensional space coordinate feature;S3, construct the protein hetero atlas containing scalar feature and vector feature;S4, the protein hetero atlas is input into joint feature learning module and carries out feature fusion and learning, obtains the fusion feature representation of each amino acid residue;S5, based on the fusion feature representation, the probability that each amino acid residue belongs to ordered region or disordered region is predicted by classifier.The application significantly improves the prediction accuracy and reliability of protein inherent disordered region, and provides a better quality of computational analysis tool for related biological mechanism research.

The present invention generally pertains to methods of detecting host cell proteins. In particular, the present invention pertains to the use of a novel activity-based protein profiling probe to identify host cell proteins with lipase activity in a pharmaceutical formulation.

The present invention generally pertains to methods of detecting host cell proteins. In particular, the present invention pertains to the use of a novel activity-based protein profiling probe to identify host cell proteins with lipase activity in a pharmaceutical formulation.

The invention provides a method for changing an HLA presentation of peptides in a cell line, a cell line with a changed HLA presentation of peptides and a use thereof. The method for changing the HLA presentation includes following steps. HLA genes are lentiviral-transduced into K562 cell lines, so that the cell lines express HLA molecules. Afterwards, the cell lines expressing the HLA molecule are transduced with a lentiviral vector carrying an AIRE gene. Through the overexpression of AIRE, a gene transcription profile and a protein profile expressed by the cell line are changed, resulting in a change in a type of peptide presented by the HLA molecule.

The invention relates to the field of pharmacodynamic evaluation methods of traditional Chinese medicine compounds, and particularly discloses a pharmacodynamic evaluation method of traditional Chinese medicine composition intervened diabetic nephropathy, which comprises the following steps: taking diabetic nephropathy mouse models as a model group, taking diabetic nephropathy mouse models treated by traditional Chinese medicine composition as a traditional Chinese medicine composition group, and taking healthy mice as a normal control group; key differential expression proteins of kidney tissues of the mice with the diabetic nephropathy in the model group, the traditional Chinese medicine composition group and the normal control group are analyzed, principal component analysis is carried out by utilizing the key differential expression protein combination of the kidney tissues with the diabetic nephropathy, and the traditional Chinese medicine composition group is close to the normal control group and far away from the model group. The kidney tissue protein profile is converted to a normal state, which indicates that the traditional Chinese medicine composition has the efficacy of actively regulating the pathological state of the kidney tissue of the mouse with the diabetic nephropathy, and the traditional Chinese medicine composition is radix astragali and cassia twig five-component decoction. The method provided by the invention can be used for evaluating the efficacy of the traditional Chinese medicine composition intervening in the diabetic nephropathy.