---

Duello
Virial Coefficient and Dissociation Constant Estimation for Rigid Macromolecules

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Table of Contents

• Quick Start
• Installation
• Overview
• Commands
  • duello scan -- Two-Body Scan
  • duello atom-scan -- Atom Scan
  • duello diffusion -- Rotational Diffusion
• Input Formats
  • PDB / mmCIF (recommended)
  • Pre-generated XYZ
  • Topology File
• Tuning and Options
  • Angular Resolution
  • Adaptive Resolution
  • Cutoff Settings
  • Spline Grid
  • Compute Backends
• Interaction Models
• Theory
• Examples
• Development

Quick Start

Install via pip:

pip install duello

Run a two-body scan between two lysozyme molecules, starting directly from a PDB file:

duello scan \
    --mol1 4lzt.pdb \
    --mol2 4lzt.pdb \
    --rmin 24 --rmax 80 --dr 0.5 \
    --molarity 0.05

This computes the potential of mean force w(R) and reports the second virial coefficient B2 and dissociation constant Kd. The output is written to pmf.dat by default.

Duello automatically coarse-grains PDB/CIF structures using the Calvados 3 force field at pH 7.0. To override these defaults:

duello scan \
    --mol1 4lzt.pdb --mol2 4lzt.pdb \
    --rmin 24 --rmax 80 --dr 0.5 \
    --molarity 0.05 \
    --ph 4.5 --model calvados3 --cg multi

Installation

Binary packages are available through PyPI:

pip install duello

Alternatively, build from source with a Rust toolchain:

cargo install --git https://github.com/mlund/duello

Overview

Duello calculates the potential of mean force (PMF) between two rigid bodies by explicitly evaluating the partition function over inter-molecular orientations on a subdivided icosphere mesh.

For each mass center separation R, the angular partition function is:

$$ \mathcal{Z}(R) = \sum_{\mathbf{\Omega}} e^{-V(R,\mathbf{\Omega})/k_BT} $$

yielding the potential of mean force:

$$ w(R) = -k_BT \ln \mathcal{Z}(R) $$

and the thermally averaged energy:

$$ U(R) = \frac{\sum V(R,\mathbf{\Omega}) e^{-V(R,\mathbf{\Omega})/k_BT}} {\mathcal{Z}(R)} $$

where $V(R,\mathbf{\Omega})$ is the total inter-body interaction energy and $\mathbf{\Omega}$ represents the 5D angular space (two spherical coordinates per body plus a dihedral angle around the inter-molecular axis).

From w(R), duello derives the osmotic second virial coefficient B2 and, for net-attractive systems, the dissociation constant Kd. See Theory for the full expressions.

Commands

Duello provides three subcommands:

Command	Purpose
duello scan	6D scan between two rigid bodies; computes w(R), B2, Kd
duello atom-scan	3D scan between a rigid body and a single atom type
duello diffusion	Rotational diffusion analysis from a saved 6D energy table

duello scan -- Two-Body Scan

The primary command. Scans all inter-molecular orientations at each mass center separation to compute w(R), B2, and Kd.

From PDB/CIF (simplest):

duello scan \
    --mol1 4lzt.pdb --mol2 4lzt.pdb \
    --rmin 24 --rmax 80 --dr 0.5 \
    --molarity 0.05

From pre-generated XYZ (full control):

duello scan \
    --mol1 cppm-p18.xyz --mol2 cppm-p18.xyz \
    --rmin 37 --rmax 50 --dr 0.5 \
    --top topology.yaml \
    --max-ndiv 3 \
    --cutoff 30 \
    --molarity 0.05 \
    --temperature 298.15 \
    --backend auto \
    --grid "type=powerlaw2,size=200,shift=true"

Key Options

Flag	Default	Description
-1, --mol1	(required)	First structure (PDB, CIF, or XYZ)
-2, --mol2	(required)	Second structure (PDB, CIF, or XYZ)
--rmin, --rmax, --dr	(required)	Radial scan range and step size (angstrom)
-a, --top	--	Topology YAML (required for XYZ, auto-generated for PDB/CIF)
-M, --molarity	0.1	1:1 salt concentration (mol/L)
-T, --temperature	298.15	Temperature (K)
--cutoff	30.0	Short-range spline cutoff (angstrom)
--sr-cutoff	= --cutoff	Fine-tuned SR potential range (angstrom)
--max-ndiv	3	Icosphere subdivision level (see Angular Resolution)
--gradient-threshold	0.5	Adaptive resolution threshold (1/rad)
--backend	auto	Compute backend: auto, gpu, simd, reference
--grid	(see below)	Spline grid settings (see Spline Grid)
--pmf	pmf.dat	Output PMF file
--savetable	--	Save 6D binary table (.bin.gz for compression)
--fixed-dielectric	--	Override dielectric constant

PDB/CIF-only options:

Flag	Default	Description
--ph	7.0	pH for coarse-graining
--model	calvados3	Force field model
--cg	single	Coarse-graining policy: single or multi
--scale-hydrophobic	--	Hydrophobic scaling, e.g. lambda:1.2 or epsilon:0.8
--chain	(all)	Keep only these chain IDs (repeatable: --chain A --chain B)

duello atom-scan -- Atom Scan

Computes a 3D energy table (R, theta, phi) between a rigid body and a single test atom type. Useful for rigid body + mobile ion simulations where the full 6D scan is unnecessary.

duello atom-scan \
    --mol1 4lzt.xyz \
    --atom Na \
    --rmin 2.0 --rmax 60 --dr 0.5 \
    --top topology.yaml \
    --molarity 0.02 \
    --cutoff 150

The output is a flat binary table (Table3DFlat) with barycentric interpolation on the icosphere mesh.

Flag	Default	Description
--mol1	(required)	Rigid body structure
--atom	(required)	Atom type name (from topology)
-o, --output	atom_table.bin.gz	Output binary table
--pmf	pmf.dat	Output PMF file

All other radial, topology, backend, and PDB/CIF flags are shared with duello scan.

duello diffusion -- Rotational Diffusion

Note: This subcommand is experimental. Output format and methods may change in future releases.

Estimates the normalized rotational diffusion coefficient D_r / D_r^0 from a previously saved 6D energy table, without re-scanning. Two methods are used:

1. Zwanzig formula -- transport coefficient from energy landscape roughness
2. Spectral gap -- slowest relaxation rate from sparse Lanczos eigendecomposition

duello diffusion table.bin.gz \
    -T 300 \
    -o diffusion.csv \
    -j 4

The temperature can differ from the scan temperature since energies are stored in absolute units (kJ/mol).

Flag	Default	Description
<TABLE>	(required)	Path to 6D binary table (.bin or .bin.gz)
-T	298.15	Temperature (K)
-o	diffusion.csv	Output CSV
-j	0 (all cores)	Thread count (fewer = less memory)
--cmin/--cmax	--	Concentration scan range (mol/L)
--cn	20	Number of concentration points
--cell-output	cell_diffusion.csv	Output CSV for cell-model D(c)
--export-matrices	--	Export generator matrices (Matrix Market)

Output Columns

Column	Description
R	Mass center separation (angstrom)
D/D^0	Normalized rotational diffusion (Zwanzig, full 5D). 1 = free, 0 = locked
D_A/D_A^0	Per-molecule-A Zwanzig (marginalized over B and dihedral)
D_B/D_B^0	Per-molecule-B Zwanzig (marginalized over A and dihedral)
D_w/D_w^0	Per-dihedral Zwanzig (marginalized over both molecules)
separability	D/D^0 / (D_A x D_B x D_w). 1 = independent, 0 = coupled
lambda_k	Eigenvalue magnitude of mode k
f_Ak, f_Bk, f_wk	Coordinate fractions for mode k (mol A / mol B / dihedral)
n_active	Number of finite-energy grid points at this R

Interpretation: D/D^0 near 1 means nearly free rotation; values near 0 indicate a rugged energy landscape that locks orientations. The separability column reveals whether molecular rotations are independent or coupled. For homo-dimers, D_A ~ D_B by symmetry.

Input Formats

PDB / mmCIF (recommended)

Pass PDB or CIF files directly. Duello coarse-grains them on the fly using cgkitten, generating .xyz and _topology.yaml files alongside the input. Charges are computed using Monte Carlo titration.

If your PDB has missing atoms or residues, pre-process with pdbfixer:

pip install pdbfixer
pdbfixer 4lzt.pdb --add-atoms=all --add-residues

Pre-generated XYZ

For XYZ input, a topology file (--top) must be provided. You can generate XYZ and topology files from PDB using cgkitten:

cargo install cgkitten
cgkitten 4lzt.pdb convert --ph 7.0

Topology File

The topology is a YAML file defining atom properties and the pair potential. Example:

atoms:
  - {name: ALA, charge: 0.0, mass: 71.07, σ: 5.04, ε: 0.8368, hydrophobicity: !Lambda 0.34}
  - {name: LYS, charge: 1.0, mass: 128.17, σ: 6.36, ε: 0.8368, hydrophobicity: !Lambda 0.14}
  # ... one entry per bead type

system:
  energy:
    nonbonded:
      # Coulomb/Yukawa is always added automatically -- do NOT specify it here
      default:
        - !AshbaughHatch {mixing: arithmetic, cutoff: 20.0}

Each atom entry defines charge, mass, Lennard-Jones-like size (sigma) and well depth (epsilon), and model-specific properties. The nonbonded section specifies the short-range pair potential; different potentials can be assigned to specific atom pairs if needed.

Warning: The electrostatic Coulomb/Yukawa term is always added automatically. Do not include it in the topology.

Tuning and Options

Angular Resolution

The --max-ndiv flag sets the icosphere subdivision level, controlling angular mesh density:

--max-ndiv	Vertices	Approx. angular spacing
0	12	1.0 rad
1	42	0.55 rad
2	92	0.37 rad
3 (default)	162	0.28 rad

Higher levels give more accurate angular integration at the cost of more energy evaluations per radial slice.

Adaptive Resolution

Duello automatically classifies each radial slab into tiers based on the angular energy gradient:

Tier	Description
Repulsive	All Boltzmann weights negligible; zero storage, returns infinity
Scalar	Nearly isotropic surface; collapsed to a single value
Nearest-vertex	Smooth surface; nearest-vertex lookup, no interpolation
Interpolated	Full barycentric interpolation on icosphere faces

The --gradient-threshold flag (default: 0.5 1/rad) controls when resolution is reduced. A summary is printed after table generation.

Cutoff Settings

The --cutoff flag (default 30 angstrom) sets the spline range for short-range pair potentials in GPU/SIMD backends. Beyond this distance the spline returns zero. It does not affect the analytical Coulomb/Yukawa evaluation, which has no cutoff.

Important rules:

• --cutoff must be >= the largest cutoff defined in the topology (otherwise the spline silently truncates the potential).
• Setting --cutoff much larger than needed wastes spline points but is otherwise harmless.
• Use --sr-cutoff to match the actual SR potential range for best accuracy (e.g. --sr-cutoff 20 when AshbaughHatch has cutoff 20).
• The reference backend ignores --cutoff and evaluates potentials with their native cutoffs.

Spline Grid

The --grid flag controls spline interpolation of short-range potentials (GPU/SIMD backends):

Key	Values	Default	Description
type	powerlaw2, invr2	powerlaw2	Grid spacing (invr2 avoids sqrt in lookup)
size	integer	200	Number of grid points
shift	true, false	true	Shift energy to zero at cutoff
energy_cap	float or none	none	Cap repulsive wall (kJ/mol) for f32 precision

Example: --grid "type=invr2,size=1000,shift=false,energy_cap=50"

Compute Backends

Duello automatically selects the best available backend. Performance on the Calvados3 lysozyme benchmark (2.4M poses, 128 atoms/molecule, Apple M4):

Backend	Description	Poses/ms	Speedup
reference	Exact potentials (validation)	48	1.0x
simd	NEON (aarch64) / AVX2 (x86)	131	2.7x
gpu	wgpu compute shaders	1065	22x

auto (default) selects GPU if available, otherwise SIMD. GPU and SIMD backends use cubic Hermite splines for short-range potentials and evaluate Coulomb/Yukawa analytically.

Interaction Models

Each macromolecule is represented by a rigid constellation of beads with properties defined in the topology. The inter-molecular energy $V(R,\Omega)$ is the sum of all pairwise bead-bead interactions.

Provided examples use:

• Calvados 3: Screened Coulomb + AshbaughHatch
• CPPM: Screened Coulomb + WeeksChandlerAndersen

Many additional pair potentials are available through the interatomic library (LennardJones, HardSphere, etc.). Different pair potentials can be assigned to specific atom pairs in the topology.

Theory

The osmotic second virial coefficient reports on two-body interactions:

$$ \begin{align} B_2 & = -\frac{1}{16\pi^2} \int_{\mathbf{\Omega}} \int_0^{\infty} \left ( e^{-V(R,\mathbf{\Omega})/k_BT} - 1 \right ) R^2 dR d\mathbf{\Omega}\\ & = -2\pi \int_0^{\infty} \left ( e^{-w(R)/k_BT} -1 \right )R^2 dR \\ & = B_2^{hs} -2\pi \int_{\sigma}^{\infty} \left ( e^{-w(R)/k_BT} -1 \right )R^2 dR\\ \end{align} $$

where $B_2^{hs} = 2\pi\sigma^3/3$ is the hard-sphere contribution and $\sigma$ is the distance of closest approach where $w(R\lt \sigma)=\infty$.

For systems with net attractive interactions, the dissociation constant is estimated by:

$$ K_d^{-1} = 2 N_A\left (B_2^{hs} - B_2\right ) $$

The rotational diffusion coefficient is estimated via the Zwanzig formula:

$$ D_r / D_r^0 = \frac{1}{\langle e^{\beta U} \rangle \cdot \langle e^{-\beta U} \rangle} $$

where the averages are over the 5D angular grid.

Examples

Ready-to-run examples are provided in scripts/ and examples/:

Path	Description
scripts/cppm.sh	Spherical, multipolar particles using the CPPM model
scripts/calvados3.sh	Two coarse-grained lysozyme molecules with Calvados 3

A Google Colab notebook is also available:

Development

Publishing to PyPI via Docker

Run on macOS, Linux (x86 and arm) to cover all architectures:

docker run --rm -v $(pwd):/io ghcr.io/pyo3/maturin:v1.11.5 publish -u __token__ -p PYPI_TOKEN

Local Maturin build

pip install ziglang pipx
pipx install maturin
maturin publish -u __token__ -p PYPI_TOKEN --target=x86_64-unknown-linux-gnu --zig

macOS targets can be built without --zig:

rustup target add x86_64-apple-darwin aarch64-apple-darwin
maturin publish -u __token__ -p PYPI_TOKEN --target=aarch64-apple-darwin