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bioRxiv · 10.1101/2025.03.31.646350

Robust conformational space exploration of cyclic peptides by combining different MD protocols and force fields

Murail, S.·Sawmynaden, J.·Zemirli, A.·Jusot, M.·Pietrucci, F.·Chomilier, J.·Tuffery, P.·Stratmann, D.
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Abstract

Cyclic peptides are an important class of pharmaceutical drugs. We used here replica-exchange molecular dynamics (REMD) and simulated tempering (ST) simulations to explore the conformational landscape of a set of nine cyclic peptides. The N-ter to C-ter backbone cyclized peptides of seven to ten residues were previously designed for a high conformational stability with a mixture of L and D amino acids. Their experimental NMR structures were available in the protein data bank (PDB). For each peptide we tested several force fields, Amber96, Amber14, RSFF2C and Charmm36m in implicit and explicit solvent. We find that the variability of the free energy maps obtained from several protocols is larger than the variability obtained by just repeating the same protocol. Running multiple protocols is therefore important for the convergence assessment of REMD or ST simulations. The majority of the free energy maps showed clusters with a high RMSD to the native structures, revealing the residual flexibility of this set of cyclic peptides. The high RMSD clusters had in some cases the lowest free energy, rendering the prediction of the native structure more difficult with a single protocol. Fortunately, the combination of four implicit solvent REMD and ST simulations, mixing the Amber96 and Am-ber14 force fields, predicted robustly the native structure. As implicit solvent in the REMD or ST setup are up to one hundred times faster than explicit solvent simulations, so running four implicit solvent simulations is a good practical choice. We checked that the use of an explicit solvent REMD or ST simulation, taken alone or combined with implicit solvent simulations, did not significantly improved our results. It results that our combination of four implicit solvent simulations is tied in terms of success rate with much more expensive combinations that include explicit solvent simulations. This may be used as guideline for further studies of cyclic peptide conformations.

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Murail, S., Sawmynaden, J., Zemirli, A., Jusot, M., Pietrucci, F., Chomilier, J., Tuffery, P., Stratmann, D.. 2025-04-05. Robust conformational space exploration of cyclic peptides by combining different MD protocols and force fields. https://doi.org/10.1101/2025.03.31.646350

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