Evidence map›Paper›PMID 30056633›Full record

ArticleProtein science : a publication of the Protein Society2018

The "speed limit" for macromolecular crystal growth.

Renee J Arias, Jens T Kaiser, Douglas C Rees

Abstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

3 authors.

Renee J AriasDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California, 91125.
Jens T KaiserDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California, 91125.
Douglas C ReesDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California, 91125.ORCID 0000-0003-4073-1185

Funding

PREDOCTORAL TRAINING IN BIOLOGY AND CHEMISTRYT32GM007616 · NIGMS · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI STERNBERG, PAUL WARREN · 1985 to 2019
$22.9M
Crystallographic Studies of Electron Tranfer ProteinsR37GM045162 · NIGMS · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI REES, DOUGLAS CHARLES · 2003 to 2012
$3.1M
CRYSTALLOGRAPHIC STUDIES OF ELECTRON TRANSFER PROTEINSR01GM045162 · NIGMS · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI REES, DOUGLAS CHARLES · 1991 to 2018
$2.2M
Howard Hughes Medical InstituteNIGMS NIH HHS R01 GM045162NIGMS NIH HHS R37 GM045162NIGMS NIH HHS T32 GM007616
6 · The paper itself

Abstract

A simple "diffusion-to-capture" model is used to estimate the upper limit to the growth rate of macromolecular crystals under conditions when the rate limiting process is the mass transfer of sample from solution to the crystal. Under diffusion-limited crystal growth conditions, this model predicts that the cross-sectional area of a crystal will increase linearly with time; this prediction is validated by monitoring the growth rate of lysozyme crystals. A consequence of this analysis is that when crystal growth is diffusion-limited, micron-sized crystals can be produced in ~1 s, which would be compatible with the turnover time of many enzymes. Consequently, the ability to record diffraction patterns from sub-micron sized crystals by X-ray Free Electron Lasers and micro-electron diffraction technologies opens the possibility of trapping intermediate enzyme states by crystallization.

Indexed as

CrystallizationHumansMacromolecular SubstancesMuramidaseMacromolecular SubstancesMuramidaseenzyme mechanismmicro-electron diffractionprotein crystallizationprotein nanocrystals

Identifiers

PMID30056633
PMCPMC6222248

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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.