Resources

Proteomics Databases



Metabolomics Databases

• • Biolayer Interferometry Data Analysis

  Biolayer interferometry data analysis is a high-precision technique that utilizes the principles of optical interference to monitor biomolecular interactions in real time. By detecting the rate and extent of molecule binding or dissociation on a solid surface, it provides quantitative information on kinetic parameters such as the association rate constant (kon), dissociation rate constant (koff), and affinity constant (KD). Biolayer interferometry is an indispensable analytical tool in biochemical and......

• • Plasma Amino Acid Analysis for Diagnosis

  Plasma amino acid analysis for diagnosis is a laboratory method used to identify potential metabolic disorders or underlying diseases by precisely measuring the concentration and ratio of various amino acids in plasma. Amino acids, as fundamental components of proteins, also independently engage in numerous physiological processes such as energy metabolism, neural signaling, hormone synthesis, and immune regulation. Variations in their levels can indicate the health status of an organism. Given their ......

• • MALDI-TOF Mass Spectrometry for Microorganism Identification

  MALDI-TOF mass spectrometry for microorganism identification is a technique that utilizes matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) to identify and classify microorganisms. The core principle involves desorbing and ionizing protein molecules in a sample using laser energy, followed by determining their mass-to-charge ratio (m/z) based on their time of flight. This process generates characteristic fingerprint spectra that represent the protein compositi......

• • MALDI-TOF for protein identification

  MALDI TOF for protein identification is a technique that combines matrix-assisted laser desorption/ionization (MALDI) with time-of-flight mass spectrometry (TOF). In proteomics research, understanding and identifying the structure and function of proteins is essential. MALDI TOF for protein identification determines the composition and structural information of proteins by analyzing their mass-to-charge ratio (m/z), with the key advantage of enabling accurate mass measurement without compromising prot......

• • In Silico Drug Target Identification

  In silico drug target identification employs advanced computational techniques to predict and discover molecular structures or sites within organisms that are likely to interact with pharmaceuticals. This approach relies on precise three-dimensional modeling of biological macromolecules, enabling researchers to simulate molecular interactions and predict potential binding sites. Common methods involved in this process include molecular dynamics simulations, binding free energy calculations, and molecu......

• • What Determines the Isoelectric Point of Proteins

  The isoelectric point of proteins (pI) is the pH at which a protein has no net charge, meaning it is electrically neutral. Understanding the isoelectric point of proteins is essential for various biochemical processes, including protein purification and understanding protein behavior in different pH environments. The isoelectric point is determined by factors such as the amino acid composition of the protein and the pKa values of individual amino acids.   Amino Acid Composition The isoelectric point o......

• • Oligonucleotide Analysis

  Oligonucleotides, including deoxyribonucleic acid (DNA) and ribonucleic acid (RNA), are increasingly being utilized in diagnostics and therapeutics. For instance, DNA can be introduced into immune cells to genetically modify them, enabling the expression of chimeric antigen receptor (CAR) proteins for cell-based immunotherapy. Various types of RNA, including messenger RNA (mRNA) and small interfering RNA (siRNA), are also employed for transient protein expression and protein expression interference, r......

• • Processing Proteomics Data with R

  Processing proteomics data is an important aspect of bioinformatics, and R programming language is widely used due to its powerful capabilities in statistical computation and graphical visualization. In proteomics data analysis, R can be applied to a variety of tasks, including but not limited to data preprocessing, mass spectrometry data analysis, protein identification, quantification, biomarker discovery, as well as functional and pathway analysis. Below are some R packages and resources that may b......

• • How the Coefficient of Variation (CV) Is Calculated in Proteomics

  In proteomics, the coefficient of variation (CV) is a statistical metric used to quantify the degree of variation in repeated measurements of protein expression levels.   CV Calculation Formula The CV is calculated using the following formula: CV = (σ / μ) × 100%   where σ represents the standard deviation of the dataset, and μ denotes the mean value. The CV is expressed as a percentage and reflects the extent of dispersion relative to the mean. A lower CV indicates less variation, suggesting higher r......

• • A Detailed Workflow of TMT-Based Quantitative Proteomics

  TMT-based quantitative proteomics is an advanced technique employed for the quantitative analysis of protein expression. This method utilizes specific chemical tags to label protein samples, enabling comparative analysis of protein expression across different samples via mass spectrometry. The standard experimental workflow for TMT-based quantitative proteomics comprises the following steps:   1. Sample Preparation (1) Protein Extraction: Proteins are extracted from cells, tissues, or biological fluid......