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    Resources

      Proteomics Databases

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      Metabolomics Databases

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    • • NMR Analysis of Peptide Drugs

      Polypeptide drugs are large biomolecules formed by the connection of dozens to hundreds of amino acids via peptide bonds. Their biological activity and stability depend on their three-dimensional structure, making the analysis of their structure crucially important.

    • • Glycosylation Sites (N-Glycosylation, O-Glycosylation) Detection for Antibody Drugs

      Antibody drugs are a class of drugs that use antibodies to specifically recognize and bind to target molecules. Glycosylation is a critical type of post-translational modification that can affect the stability, biological activity, and immune response of antibody drugs. Glycosylation typically occurs at the N (asparagine) and O (serine or threonine) sites of the antibody.

    • • Recombinant Protein Drug Process Impurity Analysis

      Recombinant protein drugs are produced using bioengineering technology, a process that may introduce certain process impurities. These impurities include host cell proteins (HCP), host cell DNA (HCD), protein A, and some substances added during production, such as defoaming agents. These impurities may affect the safety, stability, and biological activity of the drug.

    • • Determination of the Extinction Coefficient for Recombinant Protein Vaccines

      Recombinant protein vaccines are a type of vaccine that does not contain a complete pathogen and are made up of specific protein antigens produced by a heterologous expression system. Common heterologous expression systems include bacteria, mammalian cells, plant cells, and insect cells, and the appropriate heterologous expression system often needs to be selected according to the type of antigen produced.

    • • Proteomics Mass Spectrometry: Decoding Protein Structures

      Proteomics mass spectrometry technology plays a vital role in understanding the structure and function of proteins, uncovering the mysteries of life, studying disease mechanisms, and developing new drugs.

    • • Methylation Analysis

      Methylation analysis is an experimental method used for detection and study of DNA, RNA, and protein methylation. Protein methylation involves adding a methyl group to specific amino acid residues in a protein, typically lysine or arginine. This modification has significant effects on protein function, interactions, and localization. Below are some commonly used techniques for protein methylation analysis:

    • • Protein TMT

      TMT (Tandem Mass Tag) is a commonly used mass spectrometry quantification technique in proteomics. It labels proteins or peptides in different samples using a series of chemical tags, then detects and compares them in mass spectrometry analysis. This method allows for the simultaneous analysis of protein expression differences in multiple samples, thus being used to compare protein expression levels under different conditions.

    • • What is the Control Group for Protein Differential Analysis

      In protein differential analysis, the control group refers to the sample or condition used as a reference in experimental design for comparison with the experimental group. The setting of the control group is crucial for ensuring the validity and reliability of the experimental results.   In protein differential analysis, the specific nature of the control group depends on the purpose and design of the research.

    • • Antibody Glycosylation Detection

      Antibody glycosylation detection is a technology used to analyze the glycan structure and composition on antibody molecules. Glycosylation is a common post-translational modification process of proteins, which is crucial to the function of antibodies, including their stability, recognition, and antigen binding ability. In the biopharmaceutical industry, especially in the process of developing and producing monoclonal antibody drugs

    • • DIA Proten Omics

      Data-Independent Acquisition Proteomics (DIA) is an omics technology used to systematically analyze the proteins in biological samples. Compared with traditional Data-Dependent Acquisition (DDA) methods, DIA technology can analyze more proteins and peptides at the same time, improving the comprehensiveness and repeatability of detection.

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