Evidence map›Paper›PMID 20525940›Full record

ArticleMolecular & cellular proteomics : MCP2010

Computational tools for the interactive exploration of proteomic and structural data.

John H Morris, Elaine C Meng, Thomas E Ferrin

Abstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. European journal of biology · 2023
    Article
  2. Article
  3. Article
  4. Structural bioinformatics of the interactome.Annual review of biophysics · 2014
    Review
  5. Article
  6. 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

3 authors.

John H MorrisResource for Biocomputing, Visualization, and Informatics, Department of Pharmaceutical Chemistry, University of California, San Francisco, California 94158-2517, USA.
Elaine C Meng
Thomas E Ferrin

Funding

XRAY CRYSTALLOGRAPHIC STRUCTURE ANALYSIS: PROTEIN SORTINGP41RR001081 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI COHEN, BRUCE E · 1985 to 2011
$17.6M
NCRR NIH HHS P41 RR001081NCRR NIH HHS P41 RR01081
6 · The paper itself

Abstract

Linking proteomics and structural data is critical to our understanding of cellular processes, and interactive exploration of these complementary data sets can be extremely valuable for developing or confirming hypotheses in silico. However, few computational tools facilitate linking these types of data interactively. In addition, the tools that do exist are neither well understood nor widely used by the proteomics or structural biology communities. We briefly describe several relevant tools, and then, using three scenarios, we present in depth two tools for the integrated exploration of proteomics and structural data.

Indexed as

Databases, ProteinAnimalsHumansModels, MolecularMutant ProteinsProtein BindingProteinsProteomicsSaccharomyces cerevisiaeSoftwareMutant ProteinsProteins

Identifiers

PMID20525940
PMCPMC2938059

What OpenQuestion holds

Textmetadata
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.