Resources

Proteomics Databases



Metabolomics Databases

• • Thermal Stability (DSC, DSF) Analysis of Peptide Drugs

  Peptide drugs are biologically active molecules composed of multiple amino acids linked by peptide bonds. Most of them are derived from endogenous or natural peptides, so they have little or no side effects on the human body. In comparison to protein drugs, peptide drugs have advantages such as good stability, high purity, low production cost, and low immunogenicity.

• • Peptide Coverage Analysis of Recombinant Protein Drugs

  Recombinant protein drugs refer to protein products derived from animals and plants through biotechnological research and development, which have certain biological activity 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, which have attracted extensive attention from researchers.

• • Protein Cross-Linking Guide: From Sample Prep to Interaction Analysis

  Protein cross-linking experiment is a commonly used technique to study the interaction between proteins.

• • Comprehensive Analysis of Protein Spot Identification Techniques Using IP and Co-IP Experiments

  Protein is the most fundamental molecular machine in living organisms, participating in almost all biological processes. Therefore, studying the function and interactions of proteins is crucial for understanding the basic principles of biology. Protein identification by gel electrophoresis is a commonly used method that helps us identify and analyze protein interaction networks.

• • Protein Gel Identification: Selection and Comparison of Co-IP and CO-IP-MS Techniques

  Protein-protein interactions are crucial for understanding biological processes and disease mechanisms. Co-immunoprecipitation (Co-IP) followed by mass spectrometry (MS) is a commonly used method to study protein interactions.

• • Mechanism of Ion Mobility in 4D Proteomics

  Advancements in proteomics have opened new avenues for understanding the intricate workings of biological systems. However, conventional proteomics methods encounter significant obstacles when it comes to detecting low-abundance proteins due to inherent technical limitations. Detecting and quantifying these proteins is crucial because they play pivotal roles in various biological processes.

• • Application of 4D Proteomics in Low-Abundance Protein Detection

  Proteomics research seeks to comprehensively understand the structure, function, and interactions of proteins within biological systems. However, traditional proteomics techniques face significant challenges in detecting low-abundance proteins, which often play crucial roles in biological processes. The emergence of 4D proteomics has provided a groundbreaking solution to these challenges.

• • Workflow of 4D Proteomics for Proteome-Wide Protein Quantification

  As proteomics research advances, global proteome quantification techniques have become essential tools in life sciences. Traditional proteomics techniques primarily rely on two-dimensional liquid chromatography (2D-LC) coupled with mass spectrometry (MS). However, in recent years, 4D proteomics has gained significant attention for its enhanced resolution and sensitivity.

• • Principle of 4D Proteomics

  With the rapid advancement of biotechnology, proteomics has become a crucial tool for understanding the functions of biological systems. Proteomics aims to comprehensively analyze the complete set of proteins within cells, tissues, or organisms. However, the inherent complexity and dynamic nature of proteins pose significant challenges for traditional proteomics methods.

• • Advantages and Disadvantages of 4D Proteomics in Low-Abundance Protein Detection

  4D proteomics is an advanced method that combines multidimensional separation techniques with high-resolution mass spectrometry analysis. Compared to traditional proteomics, 4D proteomics offers enhanced capabilities in capturing and analyzing proteins, especially in the detection of low-abundance proteins. Despite its many strengths, the application of 4D proteomics to low-abundance protein detection presents certain challenges.