Evidence map›Paper›PMID 30097089›Full record

ArticleMethods in enzymology2018

Atlas of the Radical SAM Superfamily: Divergent Evolution of Function Using a "Plug and Play" Domain.

Gemma L Holliday, Eyal Akiva, Elaine C Meng, Shoshana D Brown, Sara Calhoun, Ursula Pieper, Andrej Sali, Squire J Booker, Patricia C Babbitt

Open access · greenAbstract read
In one paragraph

Article in Methods in enzymology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers.

0numbers the graph read from it
0cells of the map it votes in
91citing papers in PubMed
33.4field-weighted citation impact, top 1% 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

91 citing papers in PubMed, 123 citations in OpenAlex.

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  7. Review
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  12. RadicalJournal of the American Chemical Society · 2025
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  14. Structural Evidence for DUF512 as a RadicalACS bio & med chem Au · 2024
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  15. Review
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  19. mSphere · 2024
    Article
  20. CNature communications · 2024
    Article

31 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

9 authors at 3 institutions in 1 country.

Gemma L HollidayDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA, United States. Electronic address: gemma.l.holliday@gmail.com.
Eyal AkivaDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA, United States.
Elaine C MengResource for Biocomputing, Visualization, and Informatics, Department of Pharmaceutical Chemistry, School of Pharmacy, University of California, San Francisco, CA, United States.
Shoshana D BrownDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA, United States.
Sara CalhounDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA, United States; Graduate Program in Biophysics, University of California, San Francisco, CA, United States.
Ursula PieperDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA, United States.
Andrej SaliDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA, United States; Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, United States; Quantitative Biosciences Institute, University of California, San Francisco, CA, United States.
Squire J BookerDepartment of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA, United States; Department of Chemistry, The Pennsylvania State University, University Park, PA, United States; The Howard Hughes Medical Institute, The Pennsylvania State University, University Park, PA, United States.
Patricia C BabbittDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA, United States; Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, United States; Quantitative Biosciences Institute, University of California, San Francisco, CA, United States. Electronic address: babbitt@cgl.ucsf.edu.
University of California, San Francisco · USBiocom · USPennsylvania State University · US

Funding

Core H: MicrobiologyU54GM093342 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI CRONAN, JOHN E. · 2010 to 2015
$34.6M
Resource for Biocomputing Visualization and InformaticsP41GM103311 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FERRIN, THOMAS E · 2012 to 2017
$8.2M
Laying the Foundation of Genomic EnzymologyR01GM060595 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BABBITT, PATRICIA CLEMENT · 2000 to 2018
$5.4M
Radical Mechanisms of Iron-Sulfur ProteinsR35GM122595 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI SQUIRE J. BOOKER · 2017 to 2026
$3.4M
Howard Hughes Medical InstituteNIGMS NIH HHS P41 GM103311NIGMS NIH HHS R01 GM060595NIGMS NIH HHS R35 GM122595NIGMS NIH HHS U54 GM093342
6 · The paper itself

Abstract

The radical SAM superfamily contains over 100,000 homologous enzymes that catalyze a remarkably broad range of reactions required for life, including metabolism, nucleic acid modification, and biogenesis of cofactors. While the highly conserved SAM-binding motif responsible for formation of the key 5'-deoxyadenosyl radical intermediate is a key structural feature that simplifies identification of superfamily members, our understanding of their structure-function relationships is complicated by the modular nature of their structures, which exhibit varied and complex domain architectures. To gain new insight about these relationships, we classified the entire set of sequences into similarity-based subgroups that could be visualized using sequence similarity networks. This superfamily-wide analysis reveals important features that had not previously been appreciated from studies focused on one or a few members. Functional information mapped to the networks indicates which members have been experimentally or structurally characterized, their known reaction types, and their phylogenetic distribution. Despite the biological importance of radical SAM chemistry, the vast majority of superfamily members have never been experimentally characterized in any way, suggesting that many new reactions remain to be discovered. In addition to 20 subgroups with at least one known function, we identified additional subgroups made up entirely of sequences of unknown function. Importantly, our results indicate that even general reaction types fail to track well with our sequence similarity-based subgroupings, raising major challenges for function prediction for currently identified and new members that continue to be discovered. Interactive similarity networks and other data from this analysis are available from the Structure-Function Linkage Database.

Indexed as

Amino Acid SequenceComputational BiologyEnzymesEvolution, MolecularFree RadicalsPhylogenyProtein DomainsS-AdenosylmethionineSequence AlignmentStructure-Activity RelationshipEnzymesFree RadicalsS-AdenosylmethionineClassification of Radical SAM enzymes by sequence similarityMultiple domain structures of radical SAM superfamily enzymesPhylogenetic representationRadical SAM superfamily censusSequence similarity networksStructure–function mappingSubgroups and families in the radical SAM superfamily

Identifiers

PMID30097089
PMCPMC6445391
OpenAlexW2883050635

What OpenQuestion holds

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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.