Evidence map›Paper›PMID 37748827›Full record

ArticleMethods in enzymology2023

Interpreting macromolecular diffraction through simulation.

Iris D Young, Derek Mendez, Billy K Poon, Johannes P Blaschke, Felix Wittwer, Michael E Wall, Nicholas K Sauter

Open access · greenAbstract read
In one paragraph

Article in Methods in enzymology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.7field-weighted citation impact, top 29% of its field
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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 2 institutions in 1 country.

Iris D YoungMolecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States.
Derek MendezMolecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States; Stanford Synchrotron Radiation Lightsource, SLAC National Accelerator Laboratory, Menlo Park, CA, United States.
Billy K PoonMolecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States.
Johannes P BlaschkeNational Energy Research Scientific Computing Center, Lawrence Berkeley National Laboratory, Berkeley, CA, United States.
Felix WittwerNational Energy Research Scientific Computing Center, Lawrence Berkeley National Laboratory, Berkeley, CA, United States.
Michael E WallComputer, Computational and Statistical Sciences Division, Los Alamos, NM, United States.
Nicholas K SauterMolecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States. Electronic address: nksauter@lbl.gov.
Lawrence Berkeley National Laboratory · USNational Energy Research Scientific Computing Center · US

Funding

A Synchrotron Radiation Structural Biology ResourcesP30GM133894 · NIGMS · STANFORD UNIVERSITY · PI Ritimukta Sarangi · 2020 to 2026
$43.3M
DIALS: New Computational Methods to Enable Challenging Crystallographic ExperimentsR01GM117126 · NIGMS · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI SAUTER, NICHOLAS K · 2016 to 2023
$6.1M
NIGMS NIH HHS P30 GM133894NIGMS NIH HHS R01 GM117126
6 · The paper itself

Abstract

This chapter discusses the use of diffraction simulators to improve experimental outcomes in macromolecular crystallography, in particular for future experiments aimed at diffuse scattering. Consequential decisions for upcoming data collection include the selection of either a synchrotron or free electron laser X-ray source, rotation geometry or serial crystallography, and fiber-coupled area detector technology vs. pixel-array detectors. The hope is that simulators will provide insights to make these choices with greater confidence. Simulation software, especially those packages focused on physics-based calculation of the diffraction, can help to predict the location, size, shape, and profile of Bragg spots and diffuse patterns in terms of an underlying physical model, including assumptions about the crystal's mosaic structure, and therefore can point to potential issues with data analysis in the early planning stages. Also, once the data are collected, simulation may offer a pathway to improve the measurement of diffraction, especially with weak data, and might help to treat problematic cases such as overlapping patterns.

Indexed as

Data AnalysisSoftwareComputer SimulationCrystallographyMacromolecular SubstancesMacromolecular Substancesdiffraction patterndiffuse scatteringsimulated diffractionX-ray crystallography

Identifiers

PMID37748827
PMCPMC11801407
OpenAlexW4385743594

What OpenQuestion holds

Textmetadata
LicenceTDM
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.