5 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 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.