Fast calculation of small-angle scattering profiles of dense protein solutions modeled at the all-atom level

The small-angle scattering (SAS) profile of a dense protein solution contains rich information about interprotein interactions, but extracting this information has been extremely challenging. In previous studies, we developed a fast Fourier transform-based method, FMAPB2, to compute protein pair interactions at the all-atom level. Here, we use FMAPB2 to precompute pair interaction energies and then use the latter to drive simulations of dense protein solutions. The resulting MAEPPI (many-protein atomistic energy from precomputed pair interaction) enables simulations of atomistic proteins at the speed of Lennard-Jones particles. On snapshots sampled from the simulations, we directly calculate the SAS profile. The results reveal artifacts generated by widely used spherical models and support a significant dimer population of bovine serum albumin at high concentrations. Our approach promises to modernize the prediction and interpretation of SAS profiles of dense protein solutions.

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Publication Details

Journal
Proceedings of the National Academy of Sciences
Published
2025-09-25
DOI
https://doi.org/10.1073/pnas.2519265122
Primary Topic
Proteins in Food Systems
Type
article
Field-Weighted Citation Impact
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article

Fast calculation of small-angle scattering profiles of dense protein solutions modeled at the all-atom level

Huan‐Xiang Zhou, Sanbo Qin
Proceedings of the National Academy of Sciences
Proteins in Food Systems
article

Fast calculation of small-angle scattering profiles of dense protein solutions modeled at the all-atom level

Huan‐Xiang Zhou, Sanbo Qin
article en

Abstract

The small-angle scattering (SAS) profile of a dense protein solution contains rich information about interprotein interactions, but extracting this information has been extremely challenging. In previous studies, we developed a fast Fourier transform-based method, FMAPB2, to compute protein pair interactions at the all-atom level. Here, we use FMAPB2 to precompute pair interaction energies and then use the latter to drive simulations of dense protein solutions. The resulting MAEPPI (many-protein atomistic energy from precomputed pair interaction) enables simulations of atomistic proteins at the speed of Lennard-Jones particles. On snapshots sampled from the simulations, we directly calculate the SAS profile. The results reveal artifacts generated by widely used spherical models and support a significant dimer population of bovine serum albumin at high concentrations. Our approach promises to modernize the prediction and interpretation of SAS profiles of dense protein solutions.

Proceedings of the National Academy of SciencesVol. 122(39)
University of Illinois Urbana-Champaign (US), University of Illinois Chicago (US)
Openalex Percentile: Top 69%
Proteins in Food Systems
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Fast calculation of small-angle scattering profiles of dense protein solutions modeled at the all-atom level — Huan‐Xiang Zhou, Sanbo Qin · Proceedings of the National Academy of Sciences (2025) | TGRS Research Map | TGRS