Journal of Chemical Information and ModelingBiophysicsPeer-reviewed journal article
Optimized Protein-Excipient Interactions in the Martini 3 Force Field
Tobias M. PrassiD, Kresten Lindorff‐LarseniD, Patrick GarideliD, Michaela BlechiD, Lars V. SchäferiD
Abstract
The high doses of drugs required for biotherapeutics, such as monoclonal antibodies (mAbs), and the small volumes that can be administered to patients by subcutaneous injections pose challenges due to high concentration formulations. The addition of excipients, such as arginine and glutamate, to high concentration protein formulations can increase solubility and reduce the tendency of protein particle formation. Molecular dynamics (MD) simulations can provide microscopic insights into the mode of action of excipients in mAb formulations but require large system sizes and long time scales that are currently beyond reach at the fully atomistic level. Computationally efficient coarse-grained models such as the Martini 3 force field can tackle this challenge but require careful parametrization, testing, and validation. This study extends the popular Martini 3 force field towards realistic protein-excipient interactions of arginine and glutamate excipients, using the Fab domains of the therapeutic mAbs trastuzumab and omalizumab as model systems. A novel all-atom to coarse-grained mapping of the amino acid excipients is introduced, which explicitly captures the zwitterionic character of the backbone. The Fab-excipient interactions of arginine and glutamate are characterized concerning molecular contacts with the Fabs at the single-residue level. The Martini 3 simulations are compared with results from all-atom simulations as a reference. Our findings reveal an overestimation of Fab-excipient contacts with the default interaction parameters of Martini 3, suggesting a too strong attraction between protein residues and excipients. Therefore, we reparametrized the protein-excipient interaction parameters in Martini 3 against all-atom simulations. The excipient interactions obtained with the new Martini 3 mapping and Lennard-Jones (LJ) interaction parameters, coined Martini 3-exc, agree closely with the all-atom reference data. This work presents an improved parameter set for mAb-arginine and mAb-glutamate interactions in the Martini 3 coarse-grained force field, a key step towards large-scale coarse-grained MD simulations of high-concentration mAb formulations and the stabilizing effects of excipients.
- assay: protein structure
- research focus: protein folding & dynamics
- research focus: drug response / drug discovery
- approach: deep learning
- approach: statistical model
- Citations
- 5
- FWCI
- 1.49
- Field percentile
- top 20%
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