Evidence map›Paper›PMID 21605682›Full record

ArticleJournal of structural biology2011

Recording information on protein complexes in an information management system.

Marc Savitsky, Jonathan M Diprose, Chris Morris, Susanne L Griffiths, Edward Daniel, Bill Lin, Susan Daenke, Benjamin Bishop, Christian Siebold, Keith S Wilson and 3 more

Abstract read
In one paragraph

Article in Journal of structural biology, 2011. 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. Automation in biological crystallization.Acta crystallographica. Section F, Structural biology communications · 2014
    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

13 authors.

Marc SavitskyDivision of Structural Biology, Wellcome Trust Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford OX37BN, UK.
Jonathan M Diprose
Chris Morris
Susanne L Griffiths
Edward Daniel
Bill Lin
Susan Daenke
Benjamin Bishop
Christian Siebold
Keith S Wilson
Richard Blake
David I Stuart
Robert M Esnouf

Funding

Biotechnology and Biological Sciences Research Council BBC5121291Biotechnology and Biological Sciences Research Council BBC5121371Biotechnology and Biological Sciences Research Council BBC5121451Biotechnology and Biological Sciences Research Council BB/F020228/1Medical Research Council G0701506Medical Research Council G1000099Medical Research Council G1100525Medical Research Council G19/3Wellcome Trust 075491/Z/04Wellcome Trust 090532
6 · The paper itself

Abstract

The Protein Information Management System (PiMS) is a laboratory information management system (LIMS) designed for use with the production of proteins in a research environment. The software is distributed under the CCP4 licence, and so is available free of charge to academic laboratories. Like most LIMS, the underlying PiMS data model originally had no support for protein-protein complexes. To support the SPINE2-Complexes project the developers have extended PiMS to meet these requirements. The modifications to PiMS, described here, include data model changes, additional protocols, some user interface changes and functionality to detect when an experiment may have formed a complex. Example data are shown for the production of a crystal of a protein complex. Integration with SPINE2-Complexes Target Tracker application is also described.

Indexed as

Database Management SystemsMultiprotein ComplexesProtein ConformationDatabases, ProteinInformation ManagementUser-Computer InterfaceWorkflowMultiprotein Complexes

Identifiers

PMID21605682
PMCPMC3477311

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.