Evidence map›Paper›PMID 17166721›Full record

ArticleBioorganic & medicinal chemistry2007

Improved quantitative structure-activity relationship models to predict antioxidant activity of flavonoids in chemical, enzymatic, and cellular systems.

Andrei I Khlebnikov, Igor A Schepetkin, Nina G Domina, Liliya N Kirpotina, Mark T Quinn

Open access · greenAbstract read
In one paragraph

Article in Bioorganic & medicinal chemistry, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
7.8field-weighted citation impact, top 2% 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

40 citing papers in PubMed, 168 citations in OpenAlex.

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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 at 2 institutions in 2 countries.

Andrei I KhlebnikovDepartment of Chemistry, Altai State Technical University, Barnaul 656038, Russia. aikhlebnikov@narod.ru
Igor A Schepetkin
Nina G Domina
Liliya N Kirpotina
Mark T Quinn
Montana State University · USAltai State Technical University · RU

Funding

VIRUSES: FROM PARTICLES TO PROTEOMICSP20RR020185 · NCRR · MONTANA STATE UNIVERSITY - BOZEMAN · PI MEISSNER, NICOLE · 2004 to 2011
$17.0M
NCRR NIH HHS P20 RR020185NCRR NIH HHS RR020185
6 · The paper itself

Abstract

Quantitative structure-activity relationship (QSAR) models are useful in understanding how chemical structure relates to the biological activity of natural and synthetic chemicals and for design of newer and better therapeutics. In the present study, 46 flavonoids and related polyphenols were evaluated for direct/indirect antioxidant activity in three different assay systems of increasing complexity (chemical, enzymatic, and intact phagocytes). Based on these data, two different QSAR models were developed using (i) physicochemical and structural (PC&S) descriptors to generate multiparameter partial least squares (PLS) regression equations derived from optimized molecular structures of the tested compounds and (ii) a partial 3D comparison of the 46 compounds with local fingerprints obtained from fragments of the molecules by the frontal polygon (FP) method. We obtained much higher QSAR correlation coefficients (r) for flavonoid end-point antioxidant activity in all three assay systems using the FP method (0.966, 0.948, and 0.965 for datasets evaluated in the biochemical, enzymatic, and whole cell assay systems, respectively). Furthermore, high leave-one-out cross-validation coefficients (q2) of 0.907, 0.821, and 0.897 for these datasets, respectively, indicated enhanced predictive ability and robustness of the model. Using the FP method, structural fragments (submolecules) responsible for the end-point antioxidant activity in the three assay systems were also identified. To our knowledge, this is the first QSAR model derived for description of flavonoid direct/indirect antioxidant effects in a cellular system, and this model could form the basis for further drug development of flavonoid-like antioxidant compounds with therapeutic potential.

Indexed as

Quantitative Structure-Activity RelationshipAnimalsAntioxidantsDrug DesignFlavonoidsHumansPhagocytesPhenolsPolyphenolsAntioxidantsFlavonoidsPhenolsPolyphenols

Identifiers

PMID17166721
PMCPMC2013303
OpenAlexW2019677167

What OpenQuestion holds

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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.