Martini 3 OliGo̅mers: A Scalable Approach for Multimers and Fibrils in GROMACS

Journal article
Forcefield
Proteins
Self-assembly
Author

Ksenia Korshunova, Julius Kiuru, Juho Liekkinen, Giray Enkavi, Ilpo Vattulainen and Bart M. H. Bruininks

Doi

Citation (APA 7)

Korshunova, K., Kiuru, J., Liekkinen, J., Enkavi, G., Vattulainen, I., & Bruininks, B. M. (2024). Martini 3 OliGo̅mers: A Scalable Approach for Multimers and Fibrils in GROMACS. Journal of Chemical Theory and Computation.

Abstract

Martini 3 is a widely used coarse-grained simulation method for large-scale biomolecular simulations. It can be combined with a Go̅ model to realistically describe higher-order protein structures while allowing the folding and unfolding events. However, as of today, this method has largely been used only for individual monomers. In this article, we describe how the Go̅ model can be implemented within the framework of Martini 3 for a multimer system, taking into account both intramolecular and intermolecular interactions in an oligomeric protein system. We demonstrate the method by showing how it can be applied to both structural stability maintenance and assembly/disassembly of protein oligomers, using aquaporin tetramer, insulin dimer, and amyloid-β fibril as examples. We find that addition of intermolecular Go̅ potentials stabilizes the quaternary structure of proteins. The strength of the Go̅ potentials can be tuned so that the internal fluctuations of proteins match the behavior of atomistic simulation models, however, the results also show that the use of too strong intermolecular Go̅ potentials weakens the chemical specificity of oligomerization. The Martini-Go̅ model presented here enables the use of Go̅ potentials in oligomeric molecular systems in a computationally efficient and parallelizable manner, especially in the case of homopolymers, where the number of identical protein monomers is high. This paves the way for coarse-grained simulations of large protein complexes, such as viral protein capsids and prion fibrils, in complex biological environments.