Resources

Proteomics Databases



Metabolomics Databases

• • Nuclear Magnetic Resonance Analysis of Antibody Drug

  Monoclonal antibodies, artificially synthesized antibodies used to treat diseases, specifically bind to target molecules to achieve therapeutic effects. 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, immune regulation, and ophthalmic diseases.

• • Infrared Spectral 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 activities and can prevent, diagnose, and treat human, animal, and plant diseases. Compared to small molecule drugs, recombinant protein drugs have advantages such as high activity, high specificity, and low toxicity, making them favored by researchers.

• • Application of Cross-Linking Protein Interaction Analysis

  Protein-protein interactions are critical in the life processes of organisms. To gain deeper insights into these interactions, scientists have developed various analytical methods, with cross-linking technology being particularly notable for stabilizing transient or weak interactions.

• • Mechanism of Cross-Linking Protein Interaction Analysis

  In the field of life sciences, understanding protein-protein interactions (PPIs) is crucial. These interactions reveal the molecular basis of biological processes and offer critical insights into the mechanisms underlying various diseases. Cross-linking technology is a vital tool for studying PPIs. By introducing covalent bonds between proteins or protein complexes, it stabilizes their interactions, enabling researchers to identify the components and spatial arrangements of these complexes.

• • Workflow of Cross-Linking Protein Interaction Analysis

  Protein-protein interactions are vital in biological research, providing insight into cellular signaling networks, protein functions, and regulatory mechanisms. Cross-linking is a crucial technique in this field, stabilizing protein interactions through covalent bond formation, thus preserving these interactions for detailed analysis.

• • Principle of Cross-Linking Protein Interaction Analysis

  Proteins play a central role in executing various biological functions within cells. They interact with each other to form intricate signaling networks, maintain cellular structures, and regulate numerous biological processes. A deep understanding of protein-protein interactions (PPIs) is essential for unraveling biological processes and disease mechanisms. Cross-linking is a crucial tool that allows researchers to capture and study these interactions in detail.

• • Application of Protein-Protein Interaction Analysis

  Protein-protein interaction (PPI) is a crucial subject in biological research, revealing how proteins collaborate both inside and outside of cells to carry out various biological functions. By analyzing these interactions, scientists can better understand the complex signaling pathways, metabolic pathways, and other critical biological processes within cells.

• • Mechanism of Protein-Protein Interaction

  Protein-protein interactions (PPIs) are fundamental to many critical processes within organisms, such as signal transduction, cell cycle control, and metabolic regulation. Therefore, understanding how proteins interact with each other is essential for comprehending biological functions and the mechanisms underlying diseases. With advancements in biotechnology, various techniques have been developed to analyze and elucidate these complex interactions.

• • Workflow of Protein-Protein Interaction Analysis

  Protein-Protein Interactions (PPI) are fundamental in biological research, offering insights into the complex networks within organisms and identifying new targets for disease treatment and drug development. An accurate and systematic analysis of PPIs is crucial in modern life sciences. This article details the typical workflow for protein-protein interaction analysis.

• • Phosphoproteomics Data Analysis

  Phosphoproteomics data analysis is a complex process involving the identification of phosphorylation sites and quantification of changes in phosphorylation levels from a large amount of experimental data. It also aims to decipher the impact of phosphorylation on protein function and cellular signal transduction.