Evidence map›Paper›PMID 40996797›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

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

Sanbo Qin, Huan-Xiang Zhou

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Fast calculation of small-angle scattering profiles of dense protein solutions modeled at the all-atom level.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Sanbo QinDepartment of Chemistry, University of Illinois, Chicago, IL 60607.
Huan-Xiang ZhouDepartment of Chemistry, University of Illinois, Chicago, IL 60607.ORCID 0000-0001-9020-0302

Funding

Quantitative, Mechanistic Studies of Biomolecular RecognitionR35GM118091 · NIGMS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI Huan-Xiang Zhou · 2016 to 2026
$6.5M
HHS | NIH | National Institute of General Medical Sciences (NIGMS) GM118091NIGMS NIH HHS R35 GM118091
6 · The paper itself

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.

Indexed as

ProteinsScattering, Small AngleAnimalsCattleFourier AnalysisMolecular Dynamics SimulationSerum Albumin, BovineSolutionsProteinsSerum Albumin, BovineSolutionsdense protein solutioninterprotein interactionsmolecular simulationssmall-angle scattering

Identifiers

PMID40996797
PMCPMC12501182

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.