Evidence map›Paper›PMID 23619693›Full record

ArticleNature2013

Accurate assessment of mass, models and resolution by small-angle scattering.

Robert P Rambo, John A Tainer

Abstract read
In one paragraph

Article in Nature, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 484 papers.

0numbers the graph read from it
0cells of the map it votes in
484citing 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

484 citing papers in PubMed.

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424 more citing papers are in PubMed but not listed here.

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.

Robert P RamboLife Sciences Division, Advanced Light Source, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA. rprambo@lbl.gov
John A Tainer

Funding

Mesoscale and Nanoscale Technologies Integrated by Structures for DNA Repair Complexes (MANTIS-DRC)R35CA220430 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI John A. Tainer · 2018 to 2026
$7.6M
MINOS (Macromolecular Insights on Nucleic acids Optimized by Scattering)R01GM105404 · NIGMS · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI TAINER, JOHN A. · 2012 to 2015
$2.1M
NCI NIH HHS R35 CA220430NIGMS NIH HHS R01 GM105404NIGMS NIH HHS R01GM105404
6 · The paper itself

Abstract

Modern small-angle scattering (SAS) experiments with X-rays or neutrons provide a comprehensive, resolution-limited observation of the thermodynamic state. However, methods for evaluating mass and validating SAS-based models and resolution have been inadequate. Here we define the volume of correlation, Vc, a SAS invariant derived from the scattered intensities that is specific to the structural state of the particle, but independent of concentration and the requirements of a compact, folded particle. We show that Vc defines a ratio, QR, that determines the molecular mass of proteins or RNA ranging from 10 to 1,000 kilodaltons. Furthermore, we propose a statistically robust method for assessing model-data agreements (χ(2)free) akin to cross-validation. Our approach prevents over-fitting of the SAS data and can be used with a newly defined metric, RSAS, for quantitative evaluation of resolution. Together, these metrics (Vc, QR, χ(2)free and RSAS) provide analytical tools for unbiased and accurate macromolecular structural characterizations in solution.

Indexed as

Models, MolecularScattering, Small AngleAldose-Ketose IsomerasesDNA-Binding ProteinsModels, ChemicalMolecular ConformationMolecular WeightPliabilityReproducibility of ResultsRiboswitchRNA-Binding ProteinsRNA, ViralSolutionsAldose-Ketose IsomerasesDNA-Binding ProteinsRAD51AP1 protein, humanRiboswitchRNA-Binding ProteinsRNA, ViralSolutionsxylose isomerase

Identifiers

PMID23619693
PMCPMC3714217

What OpenQuestion holds

Textmetadata
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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.