Method for Identifying Common Features in Reactive Trajectories of a Transition Path Sampling Ensemble.

Area of Science:

• Biochemistry
• Computational Chemistry
• Enzymology

Background:

• Transition Path Sampling (TPS) generates extensive reactive trajectory data.
• Current TPS postprocessing primarily identifies reaction coordinates, overlooking pre-reaction events.
• Enzymatic mechanisms involve preparatory motions within the reactant well, often missed by standard analyses.

Purpose of the Study:

• To develop a novel scheme for identifying common trends in enzymatic trajectories.
• To uncover motions that prepare enzyme systems for reactions, occurring before the transition state.
• To extend the utility of TPS data for a more comprehensive understanding of enzymatic mechanisms.

Main Methods:

• A new postprocessing scheme was developed for analyzing enzymatic trajectories.
• The scheme focuses on identifying common patterns and motions within the reactant well.
• Applied to formate dehydrogenase and purine nucleoside phosphorylase systems.

Main Results:

• The developed scheme successfully identified significant preparatory motions in enzymatic systems.
• These identified motions occur in the reactant well, prior to reaching the transition state.
• Previously overlooked interactions crucial for reaction preparation were uncovered.

Conclusions:

• The new scheme effectively extracts valuable mechanistic information from TPS data that standard methods miss.
• This approach enhances the understanding of enzyme dynamics and reaction preparation.
• It provides a powerful tool for investigating enzymatic systems and designing more efficient catalysts.