English

From populations to absolute binding affinities in molecular simulations: exact volumetric terms and practical estimators

Computational Physics 2026-08-05 v1 Applied Physics Biological Physics Chemical Physics Data Analysis, Statistics and Probability

Abstract

We present a statistical-mechanics framework for computing equilibrium binding constants KK in the dilute limit. From first principles, we derive a general expression relating KK to the relative populations of the bound and unbound states. Its transparency has twofold advantage: it makes the origin of the unbound-state volumetric term explicit, and it allows one to track exactly how an imposed volume restraint propagates through the expression. This makes KK directly computable, as restrained simulations can account for the volumetric contribution exactly, under the physically mild assumption of a homogeneous unbound state. The resulting estimators are computable from histograms of any suitably defined reaction coordinate, and determine unambiguously how the boundaries of the thermodynamic states of interest must be defined. We apply our framework to the cucurbit[7]uril/1-adamantanol host--guest complex and the galactonate--DgoT ligand--protein complex. Our results show that commonly used single-bin estimators depart from the theoretically correct one by 1\approx 1~kcal/mol in both systems. This shift originates in the definition of the bound state: by anchoring that definition to what state-of-the-art experiments resolve, the theory turns it from a hidden assumption into a controlled input, and provides a principled route to absolute binding affinities from molecular simulations.

Keywords

Cite

@article{arxiv.2608.04834,
  title  = {From populations to absolute binding affinities in molecular simulations: exact volumetric terms and practical estimators},
  author = {Davide Mandelli and Emiliano Ippoliti and Charles Plate},
  journal= {arXiv preprint arXiv:2608.04834},
  year   = {2026}
}

Comments

Manuscript: 22 pages, 4 figures, 3 tables. Supporting Information: 27 pages, 10 figures, 2 tables