Evidence map›Paper›PMID 22069325›Full record

ReviewThe Journal of biological chemistry2012

Inference of functional properties from large-scale analysis of enzyme superfamilies.

Shoshana D Brown, Patricia C Babbitt

Abstract readReview
In one paragraph

Review in The Journal of biological chemistry, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Evolutionary and molecular foundations of multiple contemporary functions of the nitroreductase superfamily.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  12. Review
  13. Article
  14. Comparative Protein Structure Modeling Using MODELLER.Current protocols in bioinformatics · 2016
    Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. The evolution of enzyme function in the isomerases.Current opinion in structural biology · 2014
    Review
  20. The Structure-Function Linkage Database.Nucleic acids research · 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

2 authors.

Shoshana D BrownDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, California, 94158-2330.
Patricia C BabbittDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, California, 94158-2330; Pharmaceutical Chemistry, School of Pharmacy; California Institute for Quantitative Biosciences, University of California, San Francisco, California 94158-2330. Electronic address: babbitt@cgl.ucsf.edu.

Funding

Core H: MicrobiologyU54GM093342 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI GERLT, JOHN A · 2010 to 2015
$34.6M
XRAY CRYSTALLOGRAPHIC STRUCTURE ANALYSIS: PROTEIN SORTINGP41RR001081 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FERRIN, THOMAS E · 1985 to 2011
$17.6M
Laying the Foundation of Genomic EnzymologyR01GM060595 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BABBITT, PATRICIA CLEMENT · 2000 to 2018
$5.4M
NCRR NIH HHS P41 RR001081NIGMS NIH HHS R01 GM060595NIGMS NIH HHS R01 GM60595NIGMS NIH HHS U54 GM093342
6 · The paper itself

Abstract

As increasingly large amounts of data from genome and other sequencing projects become available, new approaches are needed to determine the functions of the proteins these genes encode. We show how large-scale computational analysis can help to address this challenge by linking functional information to sequence and structural similarities using protein similarity networks. Network analyses using three functionally diverse enzyme superfamilies illustrate the use of these approaches for facile updating and comparison of available structures for a large superfamily, for creation of functional hypotheses for metagenomic sequences, and to summarize the limits of our functional knowledge about even well studied superfamilies.

Indexed as

CarbonComputational BiologyEnzymesEukaryotaHumansIntestinesMetagenomeCarbonEnzymes

Identifiers

PMID22069325
PMCPMC3249087

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.