Related Experiment Video
Updated: Jul 4, 2025

Characterization of Synthetic Polymers via Matrix Assisted Laser Desorption Ionization Time of Flight MALDI-TOF Mass Spectrometry
Published on: June 10, 2018
PyMIDA: A Graphical User Interface for Mass Isotopomer Distribution Analysis
Naveed Ziari1, Marc K Hellerstein1
1Department of Nutritional Sciences & Toxicology, College of Natural Resources, University of California, Berkeley, 94720 California, United States.
Abstract:
Mass isotopomer distribution analysis (MIDA) is an analytical technique that measures the synthesis rate of biological polymers using combinatorial probabilities and stable isotope labeling. Over the past few decades, this method has been developed and applied to a wide range of uses that have increased our understanding of metabolism and the etiology and monitoring of disease. There is currently no publicly available piece of software for performing MIDA calculations in a targeted manner without its functionality being limited to a specific use case. We present a cross-platform Python graphical user interface implementation for research to obtain kinetic parameters easily from stable-isotope labeling studies and provide the code and user manual on GitHub.
More Related Videos
08:40Using a Cyclic Ion Mobility Spectrometer for Tandem Ion Mobility Experiments
Published on: January 20, 2022
09:34Improved Polymerase Chain Reaction-restriction Fragment Length Polymorphism Genotyping of Toxic Pufferfish by Liquid Chromatography/Mass Spectrometry
Published on: September 20, 2016
Related Concept Videos
Mass Spectrometry: Isotope Effect
Mass Analyzers: Common Types
Mass Analyzers: Overview
High-Resolution Mass Spectrometry (HRMS)
Mass Spectrum: Interpretation
To...
Tandem Mass Spectrometry
Secondary fragmentations occur in the interaction cell and can be induced by various factors. Fragmentation induced by collision with inert gases, such as N2, Ar, He, etc., is called collision-induced...