Evidence map›Paper›PMID 24129576›Full record

ArticleThe Journal of biological chemistry2013

High accuracy in silico sulfotransferase models.

Ian Cook, Ting Wang, Charles N Falany, Thomas S Leyh

Abstract read
In one paragraph

Article in The Journal of biological chemistry, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Sulfation pathways from red to green.The Journal of biological chemistry · 2019
    Review
  9. Allosteres to regulate neurotransmitter sulfonation.The Journal of biological chemistry · 2019
    Article
  10. Review
  11. Article
  12. Article
  13. The NSAID allosteric site of human cytosolic sulfotransferases.The Journal of biological chemistry · 2017
    Article
  14. Tetrahydrobiopterin regulates monoamine neurotransmitter sulfonation.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  15. Review
  16. Article
  17. The structure of the catechin-binding site of human sulfotransferase 1A1.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  18. Article
  19. Article
  20. Controlling Sulfuryl-Transfer Biology.Cell chemical biology · 2016
    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

4 authors.

Ian CookFrom the Department of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, New York 10461-1926 and.
Ting Wang
Charles N Falany
Thomas S Leyh

Funding

SULFATE ADENYLATION-BIOCHEMISTRY &ENZYMOLOGYR01GM054469 · NIGMS · YESHIVA UNIVERSITY · PI LEYH, THOMAS S. · 1995 to 2011
$4.7M
HUMAN CYTOSOLIC SULFOTRANSFERASESR01GM038953 · NIGMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI FALANY, CHARLES N · 1992 to 2013
$3.3M
HUMAN PLATELET PHENOL SULFOTRANSFERASESR29GM038953 · NIGMS · UNIVERSITY OF ROCHESTER · PI FALANY, CHARLES N · 1987 to 1991
–
NIGMS NIH HHS GM38953NIGMS NIH HHS GM54469NIGMS NIH HHS R01 GM038953NIGMS NIH HHS R01 GM054469
6 · The paper itself

Abstract

Predicting enzymatic behavior in silico is an integral part of our efforts to understand biology. Hundreds of millions of compounds lie in targeted in silico libraries waiting for their metabolic potential to be discovered. In silico "enzymes" capable of accurately determining whether compounds can inhibit or react is often the missing piece in this endeavor. This problem has now been solved for the cytosolic sulfotransferases (SULTs). SULTs regulate the bioactivities of thousands of compounds--endogenous metabolites, drugs and other xenobiotics--by transferring the sulfuryl moiety (SO3) from 3'-phosphoadenosine 5'-phosphosulfate to the hydroxyls and primary amines of these acceptors. SULT1A1 and 2A1 catalyze the majority of sulfation that occurs during human Phase II metabolism. Here, recent insights into the structure and dynamics of SULT binding and reactivity are incorporated into in silico models of 1A1 and 2A1 that are used to identify substrates and inhibitors in a structurally diverse set of 1,455 high value compounds: the FDA-approved small molecule drugs. The SULT1A1 models predict 76 substrates. Of these, 53 were known substrates. Of the remaining 23, 21 were tested, and all were sulfated. The SULT2A1 models predict 22 substrates, 14 of which are known substrates. Of the remaining 8, 4 were tested, and all are substrates. The models proved to be 100% accurate in identifying substrates and made no false predictions at Kd thresholds of 100 μM. In total, 23 "new" drug substrates were identified, and new linkages to drug inhibitors are predicted. It now appears to be possible to accurately predict Phase II sulfonation in silico.

Indexed as

Computer SimulationArylsulfotransferaseCytosolEnzyme InhibitorsHumansMetabolic Detoxication, Phase IIMolecular Dynamics SimulationProtein BindingSmall Molecule LibrariesSubstrate SpecificitySulfatesSulfotransferasesalcohol sulfotransferaseArylsulfotransferaseEnzyme InhibitorsSmall Molecule LibrariesSulfatesSulfotransferasesSULT1A1 protein, humanBindingEnzyme InhibitorsEnzyme MechanismsIn SilicoMetabolismMolecular DynamicsPhase II MetabolismReactivitySulfotransferase

Identifiers

PMID24129576
PMCPMC3843064

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.