Evidence map›Paper›PMID 20948600›Full record

ArticleF1000 biology reports2009

Prediction of function in protein superfamilies.

Shelley D Copley

Abstract read
In one paragraph

Article in F1000 biology reports, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

1 author.

Shelley D CopleyDepartment of Molecular, Cellular & Developmental Biology and Cooperative Institute for Research in Environmental Sciences, University of Colorado at Boulder Campus Box 216, Boulder, CO 80309 USA. shelley@cires.colorado.edu

Funding

Elucidation and Evolutionary Potential of a Latent Pathway for PLP SynthesisR01GM083285 · NIGMS · UNIVERSITY OF COLORADO · PI COPLEY, SHELLEY D. · 2008 to 2016
$2.3M
NIGMS NIH HHS R01 GM083285
6 · The paper itself

Abstract

Assignment of function for enzymes encoded in sequenced genomes is a challenging task. Predictions of enzyme function can be made using clues from superfamily assignment, structure, genome context, phylogenetic conservation, and virtual screening to identify potential ligands. Ultimately, confident assignment of function requires experimental verification as well as an understanding of the physiological role of an enzyme in the context of the metabolic network.

Identifiers

PMID20948600
PMCPMC2948282

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.