Evidence map›Paper›PMID 17371801›Full record

ArticleDrug metabolism and disposition: the biological fate of chemicals2007

Computational and experimental analyses of mammalian arylamine N-acetyltransferase structure and function.

Jason M Walraven, John O Trent, David W Hein

Open access · greenAbstract read
In one paragraph

Article in Drug metabolism and disposition: the biological fate of chemicals, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
6.4field-weighted citation impact, top 4% 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

10 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Biochemical Characterization of ArylamineFrontiers in microbiology · 2020
    Article
  3. Arylamine N-acetyltransferases: a structural perspective.British journal of pharmacology · 2013
    Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Review
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

3 authors at 1 institution in 1 country.

Jason M WalravenDepartment of Pharmacology, University of Louisville School of Medicine, Louisville, KY 40292, USA.
John O Trent
David W Hein
University of Louisville · US

Funding

UOFL ENVIRONMENTAL HEALTH SCIENCES TRAINING PROGRAMT32ES011564 · NIEHS · UNIVERSITY OF LOUISVILLE · PI David W Hein, John Pierce Wise · 2004 to 2026
$7.1M
PHARMACOGENETICS OF DRUG &CARCINOGEN METABOLISMR01CA034627 · NCI · UNIVERSITY OF NORTH DAKOTA · PI HEIN, DAVID W · 1985 to 2009
$3.1M
NCI NIH HHS CA34627NCI NIH HHS R01 CA034627NIEHS NIH HHS ES011564NIEHS NIH HHS T32 ES011564
6 · The paper itself

Abstract

Arylamine N-acetyltransferases (NATs) play an important role in the metabolism of arylamine and hydrazine drugs and many arylamine procarcinogens. The two human N-acetyltransferases, NAT1 and NAT2, are widely distributed in human tissues and are highly polymorphic. Although many xenobiotic procarcinogens and drugs are known mammalian NAT substrates, it is unclear what physiological roles these enzymes might play, what endogenous substrates they primarily act upon, or the mechanisms underlying the functional effects of specific NAT gene coding region single-nucleotide polymorphisms. Analyses of mammalian NAT protein structures can greatly help to answer these questions. Homology modeling techniques can be used to approximate mammalian NAT structures using known bacterial NAT crystal structures as templates. In comparison to the bacterial template NATs used for homology modeling, mammalian NATs have a 17-residue insert of unknown structure and function. Homology modeling analyses yielded two different alignments (Modeler 8v1 or 3DCoffee algorithms) that placed this insert in two likely alternative locations. Secondary structure prediction techniques and experimental analyses of a series of human NAT2 mutants with artificial deletions/replacements of the insert region distinguished one of these alternatives as the most likely insert location and provided a better understanding of its structure and function. This study demonstrates both the utility and limitations of computational structural modeling with proteins that differ as much as the mammalian and bacterial NATs.

Indexed as

Models, MolecularAlphaproteobacteriaAmino Acid SequenceArylamine N-AcetyltransferaseBacterial ProteinsHumansMolecular Sequence DataMutationProtein Structure, SecondaryPseudomonas aeruginosaSalmonella typhiSequence Homology, Amino AcidSulfamethazineArylamine N-AcetyltransferaseBacterial ProteinsNAT2 protein, humanSulfamethazine

Identifiers

PMID17371801
PMCPMC2085365
OpenAlexW2131377165

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.