HPLC Peptide Mapping Analysis of Recombinant Protein Drugs
Recombinant protein drugs are produced by biotechnological means, especially gene recombination technology. These drugs have high specificity and activity, and can produce precise pharmacological effects on target molecules. Since they are prepared based on biological processes, their purity, stability, and structural integrity are key quality attributes. Accurate and reliable analysis and quality control of these drugs is crucial to ensure their safety and efficacy. Peptide mapping, also known as peptide fingerprint analysis, is a standard protein research method that is extremely important in protein drug analysis. Through peptide mapping analysis, the specific distribution of peptide segments after enzymatic digestion is clarified, which is also of great importance for in-depth research on protein drugs. In addition, peptide mapping is very suitable for validating sequences and identifying sequence variations, such as point mutations.
HPLC peptide mapping analysis is a key technology used to analyze and characterize recombinant protein drugs. It uses high performance liquid chromatography (HPLC) to separate the peptide segments of proteins, thus providing us with important information about the amino acid sequence, modification, and structure of the protein. Through peptide mapping analysis, the consistency and stability of protein drugs in the production process can be ensured, and it also helps to confirm whether the product is contaminated or degraded.
MtoZ Biolabs provides customers with drug quality research services that comply with global pharmaceutical regulations. We have established an HPLC peptide mapping and HPLC mass peptide mapping analysis platform based on our own high performance liquid chromatograph and liquid chromatograph-mass spectrometer, which can provide you with direct HPLC peptide mapping/HPLC mass peptide mapping analysis services and complete method establishment & verification & transfer services. Free consultation is welcome!
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