Evidence map›Paper›PMID 18817429›Full record

ArticleJournal of proteome research2008

The collaboratory for MS3D: a new cyberinfrastructure for the structural elucidation of biological macromolecules and their assemblies using mass spectrometry-based approaches.

Eizadora T Yu, Arie Hawkins, Irwin D Kuntz, Larry A Rahn, Andrew Rothfuss, Kenneth Sale, Malin M Young, Christine L Yang, Carmen M Pancerella, Daniele Fabris

Open access · greenAbstract read
In one paragraph

Article in Journal of proteome research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.5field-weighted citation impact, top 12% 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

16 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Protein Structural Analysis via Mass Spectrometry-Based Proteomics.Advances in experimental medicine and biology · 2016
    Review
  7. Review
  8. Article
  9. OMA and OPA--software-supported mass spectra analysis of native and modified nucleic acids.Journal of the American Society for Mass Spectrometry · 2013
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. 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

10 authors at 1 institution in 1 country.

Eizadora T YuBiosystems Research, Advanced Software R&D, and Exploratory Computer and Software Engineering Departments, Sandia National Laboratories, P.O. Box 969, Livermore, California 94551-0969, USA.
Arie Hawkins
Irwin D Kuntz
Larry A Rahn
Andrew Rothfuss
Kenneth Sale
Malin M Young
Christine L Yang
Carmen M Pancerella
Daniele Fabris
University of Maryland, Baltimore County · US

Funding

Data Portal Enabling New Protein Structure CollaborationR01RR019864 · NCRR · SANDIA CORP-SANDIA NATIONAL LABORATORIES · PI PANCERELLA, CARMEN M · 2004 to 2008
$2.6M
NCRR NIH HHS R01 RR019864NCRR NIH HHS RR019864-01
6 · The paper itself

Abstract

Modern biomedical research is evolving with the rapid growth of diverse data types, biophysical characterization methods, computational tools and extensive collaboration among researchers spanning various communities and having complementary backgrounds and expertise. Collaborating researchers are increasingly dependent on shared data and tools made available by other investigators with common interests, thus forming communities that transcend the traditional boundaries of the single research laboratory or institution. Barriers, however, remain to the formation of these virtual communities, usually due to the steep learning curve associated with becoming familiar with new tools, or with the difficulties associated with transferring data between tools. Recognizing the need for shared reference data and analysis tools, we are developing an integrated knowledge environment that supports productive interactions among researchers. Here we report on our current collaborative environment, which focuses on bringing together structural biologists working in the area of mass spectrometric based methods for the analysis of tertiary and quaternary macromolecular structures (MS3D) called the Collaboratory for MS3D (C-MS3D). C-MS3D is a Web-portal designed to provide collaborators with a shared work environment that integrates data storage and management with data analysis tools. Files are stored and archived along with pertinent meta data in such a way as to allow file handling to be tracked (data provenance) and data files to be searched using keywords and modification dates. While at this time the portal is designed around a specific application, the shared work environment is a general approach to building collaborative work groups. The goal of this is to not only provide a common data sharing and archiving system, but also to assist in the building of new collaborations and to spur the development of new tools and technologies.

Indexed as

Cooperative BehaviorInternetResearch PersonnelAmino Acid SequenceBase SequenceComputational BiologyDatabase Management SystemsInformation Storage and RetrievalMass SpectrometryMolecular Sequence DataNucleic AcidsProteinsProtein Structure, QuaternaryProtein Structure, TertiarySoftwareSystems IntegrationNucleic AcidsProteins

Identifiers

PMID18817429
PMCPMC2677910
OpenAlexW2037345818

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.