Evidence map›Paper›PMID 22675232›Full record

ArticleJournal of applied crystallography2012

PROSPERO: online prediction of crystallographic success from experimental results and sequence.

Frank H Zucker, Hae Young Kim, Ethan A Merritt

Open access · hybridAbstract read
In one paragraph

Article in Journal of applied crystallography, 2012. 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
–field-weighted citation impact, top 86% 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, 0 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

3 authors at 1 institution in 1 country.

Frank H ZuckerBiomolecular Structure Center, Department of Biochemistry, University of Washington, Seattle, WA 98195-7742, USA.
Hae Young Kim
Ethan A Merritt
University of Washington · US

Funding

Structural Genomics of Pathogenic ProtozoaP50GM064655 · NIGMS · UNIVERSITY OF WASHINGTON · PI HOL, WILHELMUS G. J. · 2001 to 2004
$25.3M
Target Selection and Ligand DiscoveryP01AI067921 · NIAID · UNIVERSITY OF WASHINGTON · PI HOL, WILHELMUS G. J. · 2006 to 2008
$6.7M
Prediction of Protein Crystallization and Diffraction QualityR21GM088518 · NIGMS · UNIVERSITY OF WASHINGTON · PI MERRITT, ETHAN A · 2009 to 2010
$427k
NIAID NIH HHS P01 AI067921NIGMS NIH HHS P50 GM064655NIGMS NIH HHS R21 GM088518
6 · The paper itself

Abstract

The growth of diffracting crystals from purified proteins is often a major bottleneck in determining structures of biological and medical interest. The PROSPERO web server, http://skuld.bmsc.washington.edu/prospero, is intended both to provide a means of organizing the potentially large numbers of experimental characterizations measured from such proteins, and to provide useful guidance for structural biologists who have succeeded in purifying their target protein but have reached an impasse in the difficult and poorly understood process of turning purified protein into well diffracting crystals. These researchers need to decide which of many possible rescue options are worth pursuing, given finite resources. This choice is even more crucial when attempting to solve high-priority but relatively difficult structures of eukaryotic proteins. The site currently uses the HyGX1 predictor, which was trained and validated on protein samples from pathogenic protozoa (eukaryotes) using results from six types of experiment. PROSPERO allows users to store, analyze and display multiple results for each sample, to group samples into projects, and to share results and predictions with collaborators.

Identifiers

PMID22675232
PMCPMC3359727
OpenAlexW2168808946

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.