Quality of force fields and sampling methods in simulating pepX peptides: a case study for intrinsically disordered...

Area of Science:

• Biochemistry
• Computational Biology
• Structural Biology

Background:

• Intrinsically disordered proteins (IDPs) lack stable structures but are vital for cellular functions.
• Molecular dynamics (MD) simulations are key to studying IDP dynamics and conformations.
• Accuracy of MD simulations for IDPs is challenged by force field and sampling algorithm limitations.

Purpose of the Study:

• To evaluate the performance of different force fields and enhanced sampling algorithms for IDP simulations.
• To identify optimal computational methods for accurately predicting IDP behavior.
• To guide future research in simulating intrinsically disordered proteins.

Main Methods:

• Comparative analysis of AMOEBA, AMBER, and CHARMM force fields.
• Evaluation of integrated accelerated molecular dynamics (IaMD) and accelerated molecular dynamics (aMD) sampling algorithms.
• Validation against experimental Nuclear Magnetic Resonance (NMR) observables using short pepX peptides.

Main Results:

• The AMOEBA polarizable force field generated more extended conformational ensembles than classical force fields.
• AMOEBA demonstrated a greater ability to reproduce experimental NMR data.
• IaMD simulations showed better agreement with experimental results compared to aMD.

Conclusions:

• The combination of the AMOEBA force field and IaMD enhanced sampling is recommended for IDP simulations.
• This approach enhances the accuracy of predicting IDP conformational ensembles and dynamics.
• Findings provide crucial insights for developing and applying computational methods for IDPs.