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Published on: April 25, 2025
Flexibility of the bacterial chaperone trigger factor in microsecond-timescale molecular dynamics simulations
Andrew S Thomas1, Suifang Mao, Adrian H Elcock
1Department of Biochemistry, University of Iowa, Iowa City, USA.
Trigger factor (TF), a bacterial chaperone, exhibits significant conformational flexibility. Molecular dynamics simulations reveal domain reorientations and domain contacts, offering insights into TF
Area of Science:
- Biochemistry
- Molecular Biology
- Computational Biophysics
Background:
- Trigger factor (TF) is the primary chaperone interacting with nascent polypeptide chains exiting the ribosome.
- Experimental data suggest TF possesses substantial conformational flexibility.
- Understanding TF's dynamic behavior is crucial for elucidating its role in protein folding.
Purpose of the Study:
- To investigate the atomic-level conformational flexibility of bacterial trigger factor (TF).
- To compare the effects of different molecular dynamics simulation force fields on TF dynamics.
- To rationalize experimental observations of TF's conformational states.
Main Methods:
- Performed two independent 1.5-μs molecular dynamics simulations of TF in explicit solvent.
- Utilized two distinct simulation force fields: OPLS-AA/L and AMBER ff99SB-ILDN.
- Conducted simulations involving force field swapping to assess sampling effects.
Main Results:
- Both simulations demonstrated significant TF flexibility, with large deviations from the crystallographic structure due to domain reorientations.
- Predicted extensive contacts between TF's peptidyl-prolyl isomerase (PPIase) domain and the nascent-chain-binding Arm 1 domain.
- Observed distinct conformational behaviors: rapid compacting in OPLS-AA/L versus sustained dynamics in AMBER ff99SB-ILDN, potentially due to sampling differences.
Conclusions:
- Molecular dynamics simulations provide atomic-level insights into TF's conformational flexibility and domain interactions.
- Discrepancies between force fields highlight the importance of adequate sampling in simulating TF.
- Simulation findings offer potential explanations for experimental observations and inform future modeling of TF function on translating ribosomes.
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