Resources

Proteomics Databases



Metabolomics Databases

• • Advantages and Limitations of Peptidomics in Biological Sample Analysis

  Peptidomics, a large-scale analysis technique focused on peptide molecules, has gained widespread application in biomedical research in recent years. As a vital branch of proteomics, peptidomics provides in-depth insights into specific physiological or pathological states by directly studying peptide molecules in biological samples. Scientists mainly analyze naturally occurring small peptides within biological specimens, such as blood, urine, and cerebrospinal fluid.

• • Aseptic Testing of Recombinant Protein Vaccines

  Recombinant protein vaccines are a type of vaccine that does not contain complete pathogens, but is formulated with specific protein antigens produced in heterologous expression systems. Recombinant protein vaccines have become increasingly popular among researchers in recent years due to their advantages such as good safety, strong stability, and low cost.

• • Measurement of Optical Rotation in Antibody Drugs

  Antibody drugs are a class of drugs that are synthesized artificially to treat diseases by specifically binding to target molecules. Common types of antibody drugs include monoclonal antibodies, artificially synthesized antibody fragments, immunotoxins, and antibody-drug conjugates. Antibody drugs have shown significant efficacy in treating various diseases such as cancer, autoimmune diseases, inflammatory diseases, immunomodulation, and ophthalmic diseases.

• • AUC Analysis of Recombinant Protein Drugs

  Recombinant protein drugs refer to protein products derived from animals and plants through biotechnological research and development, which possess certain biological activities and can prevent and diagnose diseases in humans, animals, and plants. Compared to small molecule drugs, recombinant protein drugs have advantages such as high activity, high specificity, and low toxicity, making them favored by many researchers.

• • Mechanism of Peptide Biomarker-Based Diagnostics

  Peptide biomarkers have recently demonstrated significant potential in early disease diagnosis, monitoring disease progression, and evaluating prognosis. Due to their involvement in various pathological processes, peptide biomarkers are extensively used in detecting diseases such as cancer, cardiovascular conditions, and neurodegenerative disorders.

• • Application of Peptide Biomarker Discovery in Disease Diagnostics

  With the advancement of biotechnology and medicine, early disease diagnosis and precision medicine have become increasingly significant. The discovery and application of biomarkers have greatly advanced clinical detection methods. Peptides, as an important class of biomolecules, have gradually become a valuable tool in disease diagnosis due to their stability, specificity, and ease of detection.

• • Mechanism of Mass Spectrometry-Based Peptide Identification

  Mass spectrometry (MS), a highly sensitive and specific analytical tool, has found widespread applications in proteomics research. Particularly, MS-based peptide identification technology enables the efficient and accurate detection of peptides in biological samples, providing critical data for protein quantification and functional studies.

• • Workflow of Peptide Biomarker Discovery and Validation

  Peptide biomarkers are small molecular fragments derived from the breakdown of proteins and play a crucial role in disease diagnosis, therapeutic monitoring, and drug development. With the rapid advancements in proteomics, the discovery and validation of peptide biomarkers have become a critical field in life sciences research.

• • Application of Mass Spectrometry-Based Peptide Identification

  Mass spectrometry (MS), a high-sensitivity, high-specificity, and high-throughput analytical technique, has become a powerful tool in proteomics. In particular, MS is widely used for peptide identification, providing qualitative and quantitative analysis of peptides generated from protein digestion.

• • Workflow of Mass Spectrometry-Based Peptide Identification

  Mass spectrometry (MS) is a widely used analytical tool in proteomics research, especially for peptide identification. Through MS, protein samples can be deeply analyzed to reveal expression levels, modification states, and protein-protein interactions. The workflow for peptide identification using mass spectrometry involves a series of steps, ranging from sample preparation to data analysis.