5 results about "Beta-peptide" patented technology

The present invention relates to the biomedical and biopharmaceutical sectors. Specifically, it relates to a chimeric antigen comprising the combination of the amino- and carboxy-terminal regions of the amyloid-beta peptide (Aβ), the amino- and carboxy-terminal regions of the tau protein, and a T-cell epitope. The pharmaceutical composition comprising this chimeric antigen and at least one pharmaceutically acceptable vaccine adjuvant increases the efficacy of immunotherapy for the prevention and treatment of Alzheimer's disease (AD). The chimeric antigen exerts its action by stimulating a multi-target humoral response with high titers of anti-Aβ and anti-tau antibodies simultaneously. This promotes the combined elimination of toxic Aβ and tau species from the brain, thereby preventing or significantly improving the clinical symptoms and neuropathology of AD.

To provide a method of treating or preventing a disease characterized by deposition of Aβ in a brain, including Alzheimer's disease (AD), Down's syndrome, and cerebral amyloid angiopathy (CAA).SOLUTION: A method of treating or preventing a disease characterized by amyloid beta (Aβ) deposits in the brain of a patient comprises administering to the patient an induction dose of 10 to 60 mg / kg of an anti-N3pGlu Aβ antibody for a period of 6 months or less.SELECTED DRAWING: None

The application provides a method for identifying a breakable cross-linked peptide segment, and the method comprises the following steps: S1, extracting characteristic double peaks with a mass difference corresponding to a fixed mass difference of a cross-linking agent in a spectrum, taking the mass corresponding to the characteristic double peaks as the mass of an alpha peptide segment, obtaining a candidate mass pair composed of the mass of the alpha peptide segment and the mass of a beta peptide segment based on the parent ion mass corresponding to the breakable cross-linked peptide segment, and the mass of the beta peptide segment is complementary to the mass of the alpha peptide segment; wherein the parent ion mass is obtained by calibrating a primary spectrum of the breakable cross-linked peptide segment; S2, according to the candidate mass pair obtained in step S1, screening a plurality of candidate peptide segments respectively equal to the mass of the alpha peptide segment and the mass of the beta peptide segment from a protein database according to the mass of the alpha peptide segment and the mass of the beta peptide segment in the candidate mass pair, respectively forming paired candidate cross-linked peptide segments by combining all candidate peptide segments of the alpha peptide segment with all candidate peptide segments of the beta peptide segment to form a candidate cross-linked peptide segment set, matching and scoring the cross-linked peptide segments in the candidate cross-linked peptide segment set according to a preset fragment ion, and selecting the cross-linked peptide segment with the highest score.

The application provides a cross-linking peptide segment identification method based on sequence tag index, which is used for realizing search matching of cross-linking peptide segments, and the method comprises the following steps: S1, acquiring a plurality of protein sequences, and constructing a sequence tag reverse table, a modification bit index, an amino acid mass hash index, an enzyme cutting site array and an amino acid mass prefix sum array; S2, acquiring a secondary mass spectrum of an unknown cross-linking peptide segment and preprocessing the secondary mass spectrum to extract a plurality of candidate sequence tags; S3, querying a candidate protein sequence set corresponding to each candidate sequence tag from the sequence tag reverse table, and locating a peptide segment from the candidate protein sequence set corresponding to each candidate sequence tag according to a preset positioning strategy to acquire all candidate alpha peptide segments, and searching one or more candidate beta peptide segments corresponding to each candidate alpha peptide segment according to a preset query strategy; and S4, pairing each candidate alpha peptide segment with all candidate beta peptide segments corresponding thereto.