Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 522

The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.

FoXS: a web server for rapid computation and fitting of SAXS profiles

Open access
Schneidman-Duhovny, D., Hammel, M., Sali, A.·2010·Nucleic Acids Research

Abstract

Small angle X-ray scattering (SAXS) is an increasingly common technique for low-resolution structural characterization of molecules in solution. SAXS experiment determines the scattering intensity of a molecule as a function of spatial frequency, termed SAXS profile. SAXS profiles can contribute to many applications, such as comparing a conformation in solution with the corresponding X-ray structure, modeling a flexible or multi-modular protein, and assembling a macromolecular complex from its subunits. These applications require rapid computation of a SAXS profile from a molecular structure. FoXS (Fast X-Ray Scattering) is a rapid method for computing a SAXS profile of a given structure and for matching of the computed and experimental profiles. Here, we describe the interface and capabilities of the FoXS web server (http://salilab.org/foxs).

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1093/nar/gkq461

Cites

29 of 29 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 29 references

Research works printed but not linked: 1

  1. 2009, Photosynthesis Research, 102, 267, 10.1007/s11120-009-9475-6 · doi:10.1007/s11120-009-9475-6

Cited by

See all 522

Metadata

Authors
Schneidman-Duhovny, D., Hammel, M., & Sali, A.
Venue
Nucleic Acids Research
Published
2010-05-27
Volume
38
Issue
Web Server
Pages
W540-W544
ISSN
  • 0305-1048 (ISSN-L)
  • 1362-4962
OpenAlex
W2148557238
Cited by
522
References
29
FWCI
13.75
Type
journal article
Language
en
Open access
gold

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: FoXS: a web server for rapid computation and fitting of SAXS profiles. https://app.cochat.ai/papers/10.1093/nar/gkq461
The paper
Schneidman-Duhovny, D., Hammel, M., & Sali, A. (2010). FoXS: a web server for rapid computation and fitting of SAXS profiles. Nucleic Acids Research. https://doi.org/10.1093/nar/gkq461

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.