Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Tandem Mass Spectrometry01:21

Tandem Mass Spectrometry

3.0K
Tandem mass spectrometry is a technique that uses multiple mass analyzers in series to obtain a higher selectivity and reduce chemical noise during analyte detection. Instruments with multiple analyzers separated by an interaction cell enable secondary fragmentation and selected study of the fragment ions.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...
3.0K
Proteomics01:33

Proteomics

7.5K
A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
7.5K
Peptide Identification Using Tandem Mass Spectrometry01:33

Peptide Identification Using Tandem Mass Spectrometry

6.2K
Tandem mass spectrometry, also known as MS/MS or MS2, is an analytical technique that employs two mass analyzers. Essentially it is a series of mass spectrometers that helps isolate a particular biomolecule and then helps study its chemical properties.
This technique helps gather information regarding the protein from which the peptide was obtained and to study the peptides’ amino acid sequence. Identifying peptides from a complex mixture is an important component of the growing field of...
6.2K
Mass Spectrometry: Overview01:19

Mass Spectrometry: Overview

8.2K
Mass spectrometry is an analytical technique used to determine the molecular mass and molecular formula of a compound. The basic principle of mass spectrometry is to generate ions from the analyte molecule and measure these ion abundances against their molecular mass. One common type of ionization, known as electron ionization or EI, bombards the analyte molecules in the gas phase with high-energy electron beams. The electron beams displace an electron from the molecule and leave behind a...
8.2K
Mass Spectrometry: Complex Analysis01:21

Mass Spectrometry: Complex Analysis

2.1K
Mass spectrometry is an important technique for the identification of pure compounds. However, it has some limitations for the analysis of complex mixtures, often due to excessive fragmentation making the spectrum too complicated to decipher. Mass spectrometry can be combined with suitable separation methods in sequence, forming hyphenated methods, which are useful in the analysis of complex mixtures.
GC–MS is a powerful hyphenated method commonly used in forensics and environmental...
2.1K
MALDI-TOF Mass Spectrometry01:19

MALDI-TOF Mass Spectrometry

5.8K
Mass spectrometry is a powerful characterization technique that can identify and separate a wide variety of compounds ranging from chemical to biological entities, based on their mass-to-charge ratio (m/z). The instruments that allow this detection, known as mass spectrometers, have three components: an ion source, a mass analyzer, and a detector. These spectrometers differ based on the nature of their ion source and analyzers.Matrix-assisted laser desorption ionization (MALDI) is a commonly...
5.8K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

What will be the future of computational biology for macromolecules in the era of AI?

PLoS computational biology·2026
Same author

Liquid-liquid phase separation enables chromatography-free purification and high-performance spidroin-amyloid hybrid silk fibers.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Membrane protein solubilization and structure determination using de novo-designed proteins.

Science (New York, N.Y.)·2026
Same author

Native mass spectrometry meets X-rays for the elucidation of protein structures.

Biochemical Society transactions·2026
Same author

Limitations of the refolding pipeline for de novo protein design.

Protein science : a publication of the Protein Society·2026
Same author

The effects of external electric fields on proteins.

Chemical Society reviews·2026

Related Experiment Video

Updated: May 2, 2026

Analyzing Protein Architectures and Protein-Ligand Complexes by Integrative Structural Mass Spectrometry
07:33

Analyzing Protein Architectures and Protein-Ligand Complexes by Integrative Structural Mass Spectrometry

Published on: October 15, 2018

15.8K

Mass spectrometry integrates protein design into structural biology method development.

Alexander Stevens1, Hannah Osterholz1, Vsevolod Viliuga2,3

  • 1Department of Cell and Molecular Biology, Uppsala University, Sweden.

QRB Discovery
|May 1, 2026
PubMed
Summary

Machine learning (ML) advances protein design, but experimental validation using mass spectrometry (MS) is crucial. This synergy improves artificial protein engineering and applications in synthetic biology.

Keywords:
biophysical methodsion mobility mass spectrometrymachine learningprotein structure analysisstructure prediction

More Related Videos

Analyzing Large Protein Complexes by Structural Mass Spectrometry
15:35

Analyzing Large Protein Complexes by Structural Mass Spectrometry

Published on: June 19, 2010

26.6K
Combining Chemical Cross-linking and Mass Spectrometry of Intact Protein Complexes to Study the Architecture of Multi-subunit Protein Assemblies
10:01

Combining Chemical Cross-linking and Mass Spectrometry of Intact Protein Complexes to Study the Architecture of Multi-subunit Protein Assemblies

Published on: November 28, 2017

20.6K

Related Experiment Videos

Last Updated: May 2, 2026

Analyzing Protein Architectures and Protein-Ligand Complexes by Integrative Structural Mass Spectrometry
07:33

Analyzing Protein Architectures and Protein-Ligand Complexes by Integrative Structural Mass Spectrometry

Published on: October 15, 2018

15.8K
Analyzing Large Protein Complexes by Structural Mass Spectrometry
15:35

Analyzing Large Protein Complexes by Structural Mass Spectrometry

Published on: June 19, 2010

26.6K
Combining Chemical Cross-linking and Mass Spectrometry of Intact Protein Complexes to Study the Architecture of Multi-subunit Protein Assemblies
10:01

Combining Chemical Cross-linking and Mass Spectrometry of Intact Protein Complexes to Study the Architecture of Multi-subunit Protein Assemblies

Published on: November 28, 2017

20.6K

Area of Science:

  • Protein Engineering
  • Biochemistry
  • Computational Biology

Background:

  • Machine learning (ML) enables novel protein engineering and de novo design.
  • Experimental validation of protein design features (oligomerization, folding, binding, dynamics) is essential.
  • Mass spectrometry (MS) is a key technique for characterizing proteins.

Purpose of the Study:

  • To outline how mass spectrometry (MS) complements machine learning (ML)-driven protein design.
  • To highlight the role of engineered proteins as testbeds for MS method development.
  • To emphasize the synergistic feedback loop between ML protein design and MS analysis.

Main Methods:

  • Utilizing mass spectrometry (MS) to corroborate protein design objectives.
  • Employing engineered proteins to develop and test MS methods for structural features, charge effects, and weak interactions.
  • Integrating ML predictions with native MS data.

Main Results:

  • MS effectively corroborates a wide range of protein design goals.
  • Engineered proteins serve as valuable tools for advancing MS capabilities.
  • A feedback loop is established where design challenges drive analytical improvements, and analytical insights refine predictions.

Conclusions:

  • The integration of ML and native MS accelerates advancements in protein engineering.
  • This synergy is critical for expanding applications in synthetic biology and artificial protocell development.
  • Future protein design will benefit from enhanced analytical techniques informed by experimental data.