An Empirical Biasing Force Constant to Minimize Overfitting in Cryo-EM Flexible Fitting Refinement

Reliable modeling of protein structures from a cryo-EM density map is one of the central issues in structural biology. Typically, the constructed model is refined using a flexible fitting method combined with molecular dynamics, where a biasing potential is introduced to guide the protein structure toward the density map. However, the appropriate force constant for the biasing potential is generally unknown a priori. Here, we propose an empirical force constant that enables flexible fitting refinement with minimal overfitting. The rule is derived from systematic flexible fitting calculations performed on 29 selected systems (map resolution = 3.0-6.8 Å) using a range of force constants from weak to strong values. The refined structures are evaluated based on the MolProbity score and secondary-structure-forming tendencies. Our analysis shows that in most systems, the MolProbity score increases monotonically as the force constant increases. In addition, α-helix and β-strand tend to collapse beyond a certain force constant depending on the system size or number of fitting atoms (<i>N</i><sub>atom</sub>). Based on these findings, we propose that a suitable choice for the biasing force constant in the cross-correlation coefficient-based flexible fitting refinement is 3<i>N</i><sub>atom</sub> kcal/mol. This provides a practical guideline for an initial selection of the force constant, aiding in the search for a more suitable value and serving as a useful default parameter in flexible fitting protocols to achieve reliable models with minimal overfitting.

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Journal
Journal of Chemical Information and Modeling
Published
2025-09-04
DOI
https://doi.org/10.1021/acs.jcim.5c01424
Primary Topic
Advanced Electron Microscopy Techniques and Applications
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article
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article

An Empirical Biasing Force Constant to Minimize Overfitting in Cryo-EM Flexible Fitting Refinement

Daisuke Matsuoka, Takaharu Mori, Yuji Sugita
Journal of Chemical Information and Modeling
Advanced Electron Microscopy Techniques and Applications
article

An Empirical Biasing Force Constant to Minimize Overfitting in Cryo-EM Flexible Fitting Refinement

Daisuke Matsuoka, Takaharu Mori, Yuji Sugita
article en

Abstract

Reliable modeling of protein structures from a cryo-EM density map is one of the central issues in structural biology. Typically, the constructed model is refined using a flexible fitting method combined with molecular dynamics, where a biasing potential is introduced to guide the protein structure toward the density map. However, the appropriate force constant for the biasing potential is generally unknown a priori. Here, we propose an empirical force constant that enables flexible fitting refinement with minimal overfitting. The rule is derived from systematic flexible fitting calculations performed on 29 selected systems (map resolution = 3.0-6.8 Å) using a range of force constants from weak to strong values. The refined structures are evaluated based on the MolProbity score and secondary-structure-forming tendencies. Our analysis shows that in most systems, the MolProbity score increases monotonically as the force constant increases. In addition, α-helix and β-strand tend to collapse beyond a certain force constant depending on the system size or number of fitting atoms (<i>N</i><sub>atom</sub>). Based on these findings, we propose that a suitable choice for the biasing force constant in the cross-correlation coefficient-based flexible fitting refinement is 3<i>N</i><sub>atom</sub> kcal/mol. This provides a practical guideline for an initial selection of the force constant, aiding in the search for a more suitable value and serving as a useful default parameter in flexible fitting protocols to achieve reliable models with minimal overfitting.

Journal of Chemical Information and ModelingVol. 65(18)
Pioneer (United States) (US), Tokyo University of Science (JP), Pioneer (Japan) (JP), RIKEN (JP), RIKEN Advanced Science Institute (JP), RIKEN Center for Computational Science (JP)
Openalex Percentile: Top 89%
Advanced Electron Microscopy Techniques and Applications
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An Empirical Biasing Force Constant to Minimize Overfitting in Cryo-EM Flexible Fitting Refinement — Daisuke Matsuoka, Takaharu Mori, et al. · Journal of Chemical Information and Modeling (2025) | TGRS Research Map | TGRS