Evidence map›Paper›PMID 40999685›Full record

ArticleBiophysical journal2025

SAXS Assistant: Automated SAXS analysis for structural discovery in biologics and polymeric nanoparticles.

Cesar Ramirez, Elena Di Mare, James Byrnes, Eman Ahmed, Maria Pineiro-Goncalves, Cristian Lopez, N Sanjeeva Murthy, Adam J Gormley

Abstract read
In one paragraph

Article in Biophysical journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. SASBDB reaches 5000 data sets: empowering open science and next-generation SAS analysis.Acta crystallographica. Section D, Structural biology · 2026
    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

8 authors.

Cesar RamirezRutgers, The State University of New Jersey, Department of Biomedical Engineering, Piscataway, New Jersey.
Elena Di MareRutgers, The State University of New Jersey, Department of Biomedical Engineering, Piscataway, New Jersey.
James ByrnesEnergy & Photon Sciences Directorate, National Synchrotron Light Source II, Brookhaven National Laboratory, Upton, New York.
Eman AhmedRutgers, The State University of New Jersey, Department of Biomedical Engineering, Piscataway, New Jersey.
Maria Pineiro-GoncalvesRutgers, The State University of New Jersey, Department of Biomedical Engineering, Piscataway, New Jersey.
Cristian LopezRutgers, The State University of New Jersey, Department of Biomedical Engineering, Piscataway, New Jersey.
N Sanjeeva MurthyRutgers, The State University of New Jersey, Laboratory for Biomaterials Research, Department of Chemistry and Chemical Biology, Piscataway, New Jersey. Electronic address: nsmurthy@chem.rutgers.edu.
Adam J GormleyRutgers, The State University of New Jersey, Department of Biomedical Engineering, Piscataway, New Jersey. Electronic address: adam.gormley@rutgers.edu.

Funding

X-ray Scattering Technology CoreP30GM133893 · NIGMS · BROOKHAVEN SCIENCE ASSOC-BROOKHAVEN LAB · PI Vivian Stojanoff · 2019 to 2026
$38.6M
Tuning multivalency for optimized ligand presentationR35GM138296 · NIGMS · RUTGERS, THE STATE UNIV OF N.J. · PI GORMLEY, ADAM JOSEPH · 2020 to 2024
$2.3M
A Simultaneous SAXS/WAXS Detector System for Solving Biological StructuresS10OD012331 · OD · STATE UNIVERSITY NEW YORK STONY BROOK · PI ALLAIRE, MARC · 2012 to 2012
$1.1M
NIGMS NIH HHS P30 GM133893NIGMS NIH HHS R35 GM138296NIH HHS S10 OD012331
6 · The paper itself

Abstract

Small-angle x-ray scattering (SAXS) is a powerful technique for assessing macromolecular structure. High-throughput SAXS is limited by the time-consuming and, at times, subjective nature of SAXS data interpretation. We present SAXS Assistant, a Python-based script that streamlines SAXS data analysis to extract features for machine learning (ML) and key structural parameters, including the Guinier radius of gyration (R

Indexed as

Biological ProductsNanoparticlesPolymersScattering, Small AngleX-Ray DiffractionAutomationMachine LearningBiological ProductsPolymers

Identifiers

PMID40999685
PMCPMC12677192

What OpenQuestion holds

Textmetadata
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.