Evidence map›Paper›PMID 25900361›Full record

ReviewBiochimica et biophysica acta2015

Enzyme Function Initiative-Enzyme Similarity Tool (EFI-EST): A web tool for generating protein sequence similarity networks.

John A Gerlt, Jason T Bouvier, Daniel B Davidson, Heidi J Imker, Boris Sadkhin, David R Slater, Katie L Whalen

Abstract readReview
In one paragraph

Review in Biochimica et biophysica acta, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 472 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
472citing papers in PubMed, 1 pooled it
–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

472 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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  7. Review
  8. Article
  9. The structure of the SufBCbioRxiv : the preprint server for biology · 2026
    Article
  10. Article
  11. AI-Assisted Isolation of Bioactive Dipyrimicins fromJournal of natural products · 2026
    Article
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  15. Review
  16. Review
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412 more citing papers are in PubMed but not listed here.

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

7 authors.

John A GerltInstitute for Genomic Biology, University of Illinois, Urbana-Champaign, Urbana, IL 61801 USA; Department of Biochemistry, University of Illinois, Urbana-Champaign, Urbana, IL 61801 USA; Department of Chemistry, University of Illinois, Urbana-Champaign, Urbana, IL 61801 USA. Electronic address: j-gerlt@illinois.edu.
Jason T BouvierInstitute for Genomic Biology, University of Illinois, Urbana-Champaign, Urbana, IL 61801 USA; Department of Biochemistry, University of Illinois, Urbana-Champaign, Urbana, IL 61801 USA.
Daniel B DavidsonInstitute for Genomic Biology, University of Illinois, Urbana-Champaign, Urbana, IL 61801 USA.
Heidi J ImkerInstitute for Genomic Biology, University of Illinois, Urbana-Champaign, Urbana, IL 61801 USA.
Boris SadkhinInstitute for Genomic Biology, University of Illinois, Urbana-Champaign, Urbana, IL 61801 USA.
David R SlaterInstitute for Genomic Biology, University of Illinois, Urbana-Champaign, Urbana, IL 61801 USA.
Katie L WhalenInstitute for Genomic Biology, University of Illinois, Urbana-Champaign, Urbana, IL 61801 USA.

Funding

Core H: MicrobiologyU54GM093342 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI CRONAN, JOHN E. · 2010 to 2015
$34.6M
NIGMS NIH HHS U54 GM093342NIGMS NIH HHS U54GM093342
6 · The paper itself

Abstract

The Enzyme Function Initiative, an NIH/NIGMS-supported Large-Scale Collaborative Project (EFI; U54GM093342; http://enzymefunction.org/), is focused on devising and disseminating bioinformatics and computational tools as well as experimental strategies for the prediction and assignment of functions (in vitro activities and in vivo physiological/metabolic roles) to uncharacterized enzymes discovered in genome projects. Protein sequence similarity networks (SSNs) are visually powerful tools for analyzing sequence relationships in protein families (H.J. Atkinson, J.H. Morris, T.E. Ferrin, and P.C. Babbitt, PLoS One 2009, 4, e4345). However, the members of the biological/biomedical community have not had access to the capability to generate SSNs for their "favorite" protein families. In this article we announce the EFI-EST (Enzyme Function Initiative-Enzyme Similarity Tool) web tool (http://efi.igb.illinois.edu/efi-est/) that is available without cost for the automated generation of SSNs by the community. The tool can create SSNs for the "closest neighbors" of a user-supplied protein sequence from the UniProt database (Option A) or of members of any user-supplied Pfam and/or InterPro family (Option B). We provide an introduction to SSNs, a description of EFI-EST, and a demonstration of the use of EFI-EST to explore sequence-function space in the OMP decarboxylase superfamily (PF00215). This article is designed as a tutorial that will allow members of the community to use the EFI-EST web tool for exploring sequence/function space in protein families.

Indexed as

Databases, ProteinSequence Analysis, ProteinSoftwareInternetOrotidine-5'-Phosphate DecarboxylaseOrotidine-5'-Phosphate DecarboxylaseEnzymeFunction discoveryProtein familyProtein sequence analysisWeb tool

Identifiers

PMID25900361
PMCPMC4457552

What OpenQuestion holds

Textmetadata
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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.