PSFF-PTM: A Coarse-Grained Force-Field Parameter Patch for Modeling Post-Translational Modification Effects on Biomolecular Condensates

Intrinsically disordered proteins (IDPs) are fundamental drivers of biomolecular condensate formation via phase separation (PS). It is well established that post-translational modifications (PTMs) of IDPs significantly modulate PS, serving as critical regulatory switches. However, a comprehensive molecular understanding of how specific PTMs alter residue-level interactions remains elusive. This gap is largely attributed to the limitation of current residue-level coarse-grained molecular dynamics (CGMD) force fields, which typically lack parametrized potentials for modified residues. In this study, we developed interaction parameters for five common PTM types: phosphorylated serine (pSer), threonine (pThr), and tyrosine (pTyr); acetylated lysine (AcLys); and asymmetric dimethylarginine (aDMA). Using all-atom umbrella sampling simulations, we computed residue-specific potentials of mean force (PMFs) between modified and canonical amino acid residues. These PMF-derived parameters were systematically integrated into the established slab-geometry coarse-grained models (CALVADOS and Mpipi) via an additive module termed as PSFF-PTM. We used PSFF-PTM to study several typical IDP-involving PS systems and found that PSFF-PTM is able to capture the effects of PTMs on IDP phase behavior while remaining fully compatible with existing PS simulation frameworks. Furthermore, PSFF-PTM enables the identification of new molecular grammars of IDP-driven phase separation modulated by PTMs beyond simple "charge accumulation" model to sequence and spatial distribution of both charge and aromatic residues.

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Publication Details

Journal
Journal of Chemical Theory and Computation
Published
2026-06-25
DOI
https://doi.org/10.1021/acs.jctc.6c00469
Primary Topic
Lipid Membrane Structure and Behavior
Type
article
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article

PSFF-PTM: A Coarse-Grained Force-Field Parameter Patch for Modeling Post-Translational Modification Effects on Biomolecular Condensates

Junxi Mu, Luhua Lai
Journal of Chemical Theory and Computation
Lipid Membrane Structure and Behavior
article

PSFF-PTM: A Coarse-Grained Force-Field Parameter Patch for Modeling Post-Translational Modification Effects on Biomolecular Condensates

Junxi Mu, Luhua Lai
article en

Abstract

Intrinsically disordered proteins (IDPs) are fundamental drivers of biomolecular condensate formation via phase separation (PS). It is well established that post-translational modifications (PTMs) of IDPs significantly modulate PS, serving as critical regulatory switches. However, a comprehensive molecular understanding of how specific PTMs alter residue-level interactions remains elusive. This gap is largely attributed to the limitation of current residue-level coarse-grained molecular dynamics (CGMD) force fields, which typically lack parametrized potentials for modified residues. In this study, we developed interaction parameters for five common PTM types: phosphorylated serine (pSer), threonine (pThr), and tyrosine (pTyr); acetylated lysine (AcLys); and asymmetric dimethylarginine (aDMA). Using all-atom umbrella sampling simulations, we computed residue-specific potentials of mean force (PMFs) between modified and canonical amino acid residues. These PMF-derived parameters were systematically integrated into the established slab-geometry coarse-grained models (CALVADOS and Mpipi) via an additive module termed as PSFF-PTM. We used PSFF-PTM to study several typical IDP-involving PS systems and found that PSFF-PTM is able to capture the effects of PTMs on IDP phase behavior while remaining fully compatible with existing PS simulation frameworks. Furthermore, PSFF-PTM enables the identification of new molecular grammars of IDP-driven phase separation modulated by PTMs beyond simple "charge accumulation" model to sequence and spatial distribution of both charge and aromatic residues.

Journal of Chemical Theory and Computation
Peking University (CN), Beijing National Laboratory for Molecular Sciences (CN), Center for Interdisciplinary Studies (IN), Center for Life Sciences (CN)
Openalex Percentile: Top 11%
Lipid Membrane Structure and Behavior
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