Evidence map›Paper›PMID 30713164›Full record

ArticleActa crystallographica. Section F, Structural biology communications2019

Iterative screen optimization maximizes the efficiency of macromolecular crystallization.

Harrison G Jones, Daniel Wrapp, Morgan S A Gilman, Michael B Battles, Nianshuang Wang, Sofia Sacerdote, Gwo Yu Chuang, Peter D Kwong, Jason S McLellan

Abstract read
In one paragraph

Article in Acta crystallographica. Section F, Structural biology communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. The FUSION protein crystallization screen.Journal of applied crystallography · 2022
    Article
  3. Article
  4. 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

9 authors.

Harrison G JonesDepartment of Biochemistry and Cell Biology, Geisel School of Medicine at Dartmouth, Hanover, NH 03755, USA.
Daniel WrappDepartment of Biochemistry and Cell Biology, Geisel School of Medicine at Dartmouth, Hanover, NH 03755, USA.
Morgan S A GilmanDepartment of Biochemistry and Cell Biology, Geisel School of Medicine at Dartmouth, Hanover, NH 03755, USA.
Michael B BattlesDepartment of Biochemistry and Cell Biology, Geisel School of Medicine at Dartmouth, Hanover, NH 03755, USA.
Nianshuang WangDepartment of Biochemistry and Cell Biology, Geisel School of Medicine at Dartmouth, Hanover, NH 03755, USA.
Sofia SacerdoteDepartment of Biochemistry and Cell Biology, Geisel School of Medicine at Dartmouth, Hanover, NH 03755, USA.ORCID 0000-0002-5606-3452
Gwo Yu ChuangVaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
Peter D KwongVaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
Jason S McLellanDepartment of Biochemistry and Cell Biology, Geisel School of Medicine at Dartmouth, Hanover, NH 03755, USA.

Funding

Understanding the role of RNA-binding protein mutations in cancerP20GM113132 · NIGMS · DARTMOUTH COLLEGE · PI MADDEN, DEAN R · 2016 to 2025
$25.9M
Molecular and Cellular Biology at DartmouthT32GM008704 · NIGMS · DARTMOUTH COLLEGE · PI COMPTON, DUANE A. · 1998 to 2018
$6.8M
HOST-MICROBE INTERACTIONST32AI007519 · NIAID · DARTMOUTH COLLEGE · PI DEBORAH A HOGAN · 1997 to 2026
$5.9M
Computational Tools for Structural AnalysisZICAI005112 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI RAWI, REDA · 2010 to 2025
$4.1M
NIAID NIH HHS T32 AI007519NIGMS NIH HHS P20 GM113132NIGMS NIH HHS T32 GM008704
6 · The paper itself

Abstract

Advances in X-ray crystallography have streamlined the process of determining high-resolution three-dimensional macromolecular structures. However, a rate-limiting step in this process continues to be the generation of crystals that are of sufficient size and quality for subsequent diffraction experiments. Here, iterative screen optimization (ISO), a highly automated process in which the precipitant concentrations of each condition in a crystallization screen are modified based on the results of a prior crystallization experiment, is described. After designing a novel high-throughput crystallization screen to take full advantage of this method, the value of ISO is demonstrated by using it to successfully crystallize a panel of six diverse proteins. The results suggest that ISO is an effective method to obtain macromolecular crystals, particularly for proteins that crystallize under a narrow range of precipitant concentrations.

Indexed as

CrystallizationCrystallography, X-RayHigh-Throughput Screening AssaysHumansModels, MolecularProtein ConformationProteinsProteinsautomated liquid handlingcrystallization screeningmacromolecular crystallographySweet16

Identifiers

PMID30713164
PMCPMC6360444

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Registered trials

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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.