Piecewise Constraintsfor Exact End Point Samplingwith λ-Dynamics

Abstract λ-Dynamics simulations are used to explore differences between distinct chemical states through interpolation with a λ parameter. Existing algorithms for λ-dynamics treat the thermodynamic coupling parameter λ as an additional degree of freedom and integrate its motion along with all other physical degrees of freedom in the molecular system. This coupling parameter is constrained to 0 ≤ λ ≤ 1 to represent interpolation between two chemical end-states. In this paper, we present a mapping scheme which numerically satisfies this constraint and has desirable properties when generalized to the multiend-state constraint problem of satisfying both 0 ≤ λi ≤ 1 and ∑iλi = 1. Relative to the existing mapping schemes which implicitly satisfy these constraints, the introduced method samples the λ = {0, 1} end-states exactly and performs well as the number of end-states increases. The exact end-state sampling removes the need to approximate end-states with a finite-width histogram bin and produces unbiased free energy estimates. This new constraint was used within the framework of multisite λ-dynamics (MSλD) and led to improved sampling with many end-states. This was shown through calculations of single and multisite systems with a range of substituents at each site in relative small molecule solvation and protein side-chain mutations. This development makes MSλD calculations with many end-states more reliable and opens the door to more ambitious design projects in the future.

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Publication Details

Journal
Journal of Chemical Theory and Computation
Published
2026-08-18
DOI
https://doi.org/10.1021/acs.jctc.6c00953
Primary Topic
Protein Structure and Dynamics
Type
article
Field-Weighted Citation Impact
0.00

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article

Piecewise Constraintsfor Exact End Point Samplingwith λ-Dynamics

Ryan L. Hayes, Matthew J. Speranza, Abigail Luong, Olive Dooley
Journal of Chemical Theory and Computation
Protein Structure and Dynamics
article

Piecewise Constraintsfor Exact End Point Samplingwith λ-Dynamics

Ryan L. Hayes, Matthew J. Speranza, Abigail Luong, Olive Dooley
article en

Abstract

Abstract λ-Dynamics simulations are used to explore differences between distinct chemical states through interpolation with a λ parameter. Existing algorithms for λ-dynamics treat the thermodynamic coupling parameter λ as an additional degree of freedom and integrate its motion along with all other physical degrees of freedom in the molecular system. This coupling parameter is constrained to 0 ≤ λ ≤ 1 to represent interpolation between two chemical end-states. In this paper, we present a mapping scheme which numerically satisfies this constraint and has desirable properties when generalized to the multiend-state constraint problem of satisfying both 0 ≤ λi ≤ 1 and ∑iλi = 1. Relative to the existing mapping schemes which implicitly satisfy these constraints, the introduced method samples the λ = {0, 1} end-states exactly and performs well as the number of end-states increases. The exact end-state sampling removes the need to approximate end-states with a finite-width histogram bin and produces unbiased free energy estimates. This new constraint was used within the framework of multisite λ-dynamics (MSλD) and led to improved sampling with many end-states. This was shown through calculations of single and multisite systems with a range of substituents at each site in relative small molecule solvation and protein side-chain mutations. This development makes MSλD calculations with many end-states more reliable and opens the door to more ambitious design projects in the future.

Journal of Chemical Theory and Computation
University of California, Irvine (US), Irvine University (US)
University of California, Irvine
Peace, Justice and strong institutions
Openalex Percentile: Top 17%
Protein Structure and Dynamics
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Piecewise Constraintsfor Exact End Point Samplingwith λ-Dynamics — Ryan L. Hayes, Matthew J. Speranza, et al. · Journal of Chemical Theory and Computation (2026) | TGRS Research Map | TGRS