Evidence map›Paper›PMID 23834533›Full record

ArticleThe journal of physical chemistry. A2013

Decoding nitric oxide release rates of amine-based diazeniumdiolates.

Yan-Ni Wang, Jack Collins, Ryan J Holland, Larry K Keefer, Joseph Ivanic

Abstract read
In one paragraph

Article in The journal of physical chemistry. A, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Yan-Ni WangAdvanced Biomedical Computing Center, Information Systems Program, SAIC-Frederick, Inc., Frederick National Laboratory for Cancer Research, Frederick, Maryland 21702, United States.
Jack Collins
Ryan J Holland
Larry K Keefer
Joseph Ivanic

Funding

Using Diazeniumdiolate Chemistry to Design Nitric Oxide-Based TherapiesZIABC005673 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI KEEFER, LARRY K · 2009 to 2015
$5.5M
CCR NIH HHS HHSN261200800001CIntramural NIH HHS Z99 CA999999NCI NIH HHS HHSN261200800001ENCI NIH HHS Y99 CA999999
6 · The paper itself

Abstract

Amine-based diazeniumdiolates (NONOates) have garnered widespread use as nitric oxide (NO) donors, and their potential for nitroxyl (HNO) release has more recently been realized. While NO release rates can vary significantly with the type of amine, half-lives of seconds to days under physiological conditions, there is as yet no way to determine a priori the NO or HNO production rates of a given species, and no discernible trends have manifested other than that secondary amines produce only NO (i.e., no HNO). As a step to understanding these complex systems, here we describe a procedure for modeling amine-based NONOates in water solvent that provides an excellent correlation (R(2) = 0.94) between experimentally measured dissociation rates of seven secondary amine species and their computed NO release activation energies. The significant difference in behavior of NONOates in the gas and solvent phases is also rigorously demonstrated via explicit additions of quantum mechanical water molecules. The presented results suggest that the as-yet unsynthesized simplest amine-based NONOate, the diazeniumdiolated ammonia anion [H2N-N(O)═NO(-)], could serve as an unperturbed HNO donor. These results provide a step forward toward the accurate modeling of general NO and/or HNO donors as well as for the identification of tailored prodrug candidates.

Indexed as

Azo CompoundsFree RadicalsHalf-LifeKineticsNitric OxideNitric Oxide DonorsNitrogen OxidesQuantum TheoryThermodynamicsWaterAzo CompoundsdiazeniumdiolateFree RadicalsNitric OxideNitric Oxide DonorsNitrogen OxidesnitroxylWater

Identifiers

PMID23834533
PMCPMC3763926

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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.