Evidence map›Paper›PMID 37572273›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

Structural Characterization of Nucleic Acid Nanoparticles Using SAXS and SAXS-Driven MD.

James Byrnes, Kriti Chopra, Lewis A Rolband, Leyla Danai, Shirish Chodankar, Lin Yang, Kirill A Afonin

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

James ByrnesBrookhaven National Laboratory, Upton, NY, USA. jbyrnes@bnl.gov.
Kriti ChopraBrookhaven National Laboratory, Upton, NY, USA.
Lewis A RolbandUniversity of North Carolina at Charlotte, Charlotte, NC, USA.
Leyla DanaiUniversity of North Carolina at Charlotte, Charlotte, NC, USA.
Shirish ChodankarBrookhaven National Laboratory, Upton, NY, USA.
Lin YangBrookhaven National Laboratory, Upton, NY, USA.
Kirill A AfoninUniversity of North Carolina at Charlotte, Charlotte, NC, USA.

Funding

X-ray Scattering Technology CoreP30GM133893 · NIGMS · BROOKHAVEN SCIENCE ASSOC-BROOKHAVEN LAB · PI Sean McSweeney · 2019 to 2026
$38.6M
SMART NANPs: new molecular platform for communication with human immune system and modulation of therapeutic responsesR35GM139587 · NIGMS · UNIVERSITY OF NORTH CAROLINA CHARLOTTE · PI AFONIN, KIRILL A · 2021 to 2025
$1.8M
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 GM139587NIH HHS S10 OD012331
6 · The paper itself

Abstract

Structural characterization of nucleic acid nanoparticles (NANPs) in solution is critical for validation of correct assembly and for quantifying the size, shape, and flexibility of the construct. Small-angle X-ray scattering (SAXS) is a well-established method to obtain structural information of particles in solution. Here, we present a procedure for the preparation of NANPs for SAXS. This procedure outlines the steps for a successful SAXS experiment and the use of SAXS-driven molecular dynamics to generate an ensemble of structures that best explain the data observed in solution. We use an RNA NANP as an example, so the reader can prepare the sample for data collection, analyze the results, and perform SAXS-driven MD on similar NANPs.

Indexed as

NanoparticlesNucleic AcidsMolecular Dynamics SimulationScattering, Small AngleX-Ray DiffractionNucleic AcidsMolecular dynamicsRNASAXSSAXS-driven molecular dynamicsWAXS

Identifiers

PMID37572273
PMCPMC10484297

What OpenQuestion holds

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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.