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Enhancing Martini 3 for protein self-interaction simulations
Jonas Binder1, Matja Zalar2, Martin Huelsmeyer3
1Department of Pharmacy, Pharmaceutical Technology and Biopharmaceutics, Ludwig-Maximilians-Universität München 81377 Munich, Germany.
Abstract:
Coarse-grained molecular dynamics simulations are highly valuable for studying protein-protein interactions. Unfortunately, commonly used force fields often overestimate these interactions. Here, we investigate the performance of the Martini 3 force field in predicting the self-interaction behavior of lysozyme and subtilisin using Metadynamics. The original Martini 3, despite improvements over its predecessor, overestimates interaction strength. Through reparameterization of bead interactions, we achieve good agreement with experimental data of the second virial coefficient and the diffusion coefficient. The new, refined force field enables more accurate CG-MD simulations, with potential applications in understanding and prediction of protein stability, aggregation tendencies, and solubility, with the possibility to aid in the development of protein-based drugs.
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