Evidence map›Paper›PMID 24791931›Full record

ArticleJournal of the American Chemical Society2014

Substrate deconstruction and the nonadditivity of enzyme recognition.

Sarah Barelier, Jennifer A Cummings, Alissa M Rauwerdink, Daniel S Hitchcock, Jeremiah D Farelli, Steven C Almo, Frank M Raushel, Karen N Allen, Brian K Shoichet

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the American Chemical Society, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.9field-weighted citation impact, top 11% 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

19 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Conformation-dependent ligand hot spots in the spliceosomal RNA helicase BRR2.Acta crystallographica. Section D, Structural biology · 2023
    Article
  6. Class C β-Lactamases: Molecular Characteristics.Clinical microbiology reviews · 2022
    Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Crius: A novel fragment-based algorithm of de novo substrate prediction for enzymes.Protein science : a publication of the Protein Society · 2018
    Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Ligand deconstruction: Why some fragment binding positions are conserved and others are not.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  17. Article
  18. Article
  19. 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

9 authors at 6 institutions in 2 countries.

Sarah BarelierDepartment of Pharmaceutical Chemistry, University of California - San Francisco , 1700 Fourth Street, Byers Hall, San Francisco, California 94158, United States.
Jennifer A Cummings
Alissa M Rauwerdink
Daniel S Hitchcock
Jeremiah D Farelli
Steven C Almo
Frank M Raushel
Karen N Allen
Brian K Shoichet
Texas A&M University · USBoston University · USAlbert Einstein College of Medicine · USBiotechnology Institute · USUniversity of California, San Francisco · USUniversity of Toronto · CA

Funding

Core H: MicrobiologyU54GM093342 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI CRONAN, JOHN E. · 2010 to 2015
$34.6M
NIGMS NIH HHS GM093342NIGMS NIH HHS U54 GM093342
6 · The paper itself

Abstract

Predicting substrates for enzymes of unknown function is a major postgenomic challenge. Substrate discovery, like inhibitor discovery, is constrained by our ability to explore chemotypes; it would be expanded by orders of magnitude if reactive sites could be probed with fragments rather than fully elaborated substrates, as is done for inhibitor discovery. To explore the feasibility of this approach, substrates of six enzymes from three different superfamilies were deconstructed into 41 overlapping fragments that were tested for activity or binding. Surprisingly, even those fragments containing the key reactive group had little activity, and most fragments did not bind measurably, until they captured most of the substrate features. Removing a single atom from a recognized substrate could often reduce catalytic recognition by 6 log-orders. To explore recognition at atomic resolution, the structures of three fragment complexes of the β-lactamase substrate cephalothin were determined by X-ray crystallography. Substrate discovery may be difficult to reduce to the fragment level, with implications for function discovery and for the tolerance of enzymes to metabolite promiscuity. Pragmatically, this study supports the development of libraries of fully elaborated metabolites as probes for enzyme function, which currently do not exist.

Indexed as

Crystallography, X-RayEnzyme InhibitorsEnzymesModels, MolecularMolecular StructureSmall Molecule LibrariesStructure-Activity RelationshipEnzyme InhibitorsEnzymesSmall Molecule Libraries

Identifiers

PMID24791931
PMCPMC4046767
OpenAlexW2050044910

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.