What does this research mean for the field?

Energy transfer efficiency during collisional activation of protein ions depends primarily on collision gas type, relative collision speed, and the ion's total vibrational energy, which can be modeled using a derived pseudo-atom mass function to improve cross-instrument translatability. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

Determine the physical parameters dictating energy transfer efficiency during collisional activation to improve the quantitative comparability of collision-induced dissociation and unfolding experiments across diverse mass spectrometers.

September 10, 2026Journal of the American Society for Mass Spectrometry

Modeling Energy Transfer Efficiency in Collision-Induced Dissociation and Unfolding Using Molecular Dynamics Simulations

View Full Paper

Ask AI

Bookmark

Authors

AGAustin W. Green JPJames S. Prell

Discussion

Member takes

Overview

Computational simulation study reveals collision speed-dependent energy transfer efficiency in native protein ions, highlighting improved cross-instrument calibration for mass spectrometry.

Key Points

Determine the physical parameters dictating energy transfer efficiency during collisional activation to improve the quantitative comparability of collision-induced dissociation and unfolding experiments across diverse mass spectrometers.
Simulated collision events using molecular dynamics for native charge states across three distinct protein ions.
Evaluated energy transfer efficiency across variations in collision gas type, relative impact velocity, ion vibrational temperature, interaction potential, and impact geometry.
Derived an empirical pseudo-atom mass function and incorporated it into the IonSPA modeling software to calculate thermochemical activation barriers.
Demonstrated that energy transfer efficiency approaches unity at near-zero collision velocities, reaches a minimum at moderate speeds, and rises toward highly inelastic behavior at elevated collision speeds.
Identified background gas composition, relative collision speed, and total ion vibrational energy as the primary determinants of collisional energy transfer.
Successfully parameterized a pseudo-atom mass function in IonSPA, enabling predictable calculations of thermochemical barriers in collision-induced dissociation and unfolding.

Cite This Study

Green et al. (2026) studied this question.

synapsesocial.com/papers/6aa27a9f58559d80afc73506 https://doi.org/10.1021/jasms.6c00292

View Full Paper

Ask AI

Bookmark

September 10, 2026Journal of the American Society for Mass Spectrometry

Modeling Energy Transfer Efficiency in Collision-Induced Dissociation and Unfolding Using Molecular Dynamics Simulations

View Full Paper

Ask AI

Bookmark

Authors

AGAustin W. Green JPJames S. Prell

Discussion

Member takes

Overview

Computational simulation study reveals collision speed-dependent energy transfer efficiency in native protein ions, highlighting improved cross-instrument calibration for mass spectrometry.

Key Points

Determine the physical parameters dictating energy transfer efficiency during collisional activation to improve the quantitative comparability of collision-induced dissociation and unfolding experiments across diverse mass spectrometers.
Simulated collision events using molecular dynamics for native charge states across three distinct protein ions.
Evaluated energy transfer efficiency across variations in collision gas type, relative impact velocity, ion vibrational temperature, interaction potential, and impact geometry.
Derived an empirical pseudo-atom mass function and incorporated it into the IonSPA modeling software to calculate thermochemical activation barriers.
Demonstrated that energy transfer efficiency approaches unity at near-zero collision velocities, reaches a minimum at moderate speeds, and rises toward highly inelastic behavior at elevated collision speeds.
Identified background gas composition, relative collision speed, and total ion vibrational energy as the primary determinants of collisional energy transfer.
Successfully parameterized a pseudo-atom mass function in IonSPA, enabling predictable calculations of thermochemical barriers in collision-induced dissociation and unfolding.

Cite This Study

Green et al. (2026) studied this question.

synapsesocial.com/papers/6aa27a9f58559d80afc73506 https://doi.org/10.1021/jasms.6c00292

View Full Paper

Ask AI

Bookmark