Evidence map›Paper›PMID 22693608›Full record

ArticlePloS one2012

Prediction of molecular targets of cancer preventing flavonoid compounds using computational methods.

Hanyong Chen, Ke Yao, Janos Nadas, Ann M Bode, Margarita Malakhova, Naomi Oi, Haitao Li, Ronald A Lubet, Zigang Dong

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
6.6field-weighted citation impact, top 3% 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

14 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
  2. Flavonoids as inhibitors of human neutrophil elastase.Journal of enzyme inhibition and medicinal chemistry · 2021
    Review
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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

9 authors at 3 institutions in 1 country.

Hanyong ChenThe Hormel Institute, University of Minnesota, Austin, Minnesota, United States of America.
Ke Yao
Janos Nadas
Ann M Bode
Margarita Malakhova
Naomi Oi
Haitao Li
Ronald A Lubet
Zigang Dong
Hormel (United States) · USUniversity of Minnesota · USNational Cancer Institute · US

Funding

The role of histone phosphorylation in arsenic-induced cell transformation and skR01ES016548 · NIEHS · UNIVERSITY OF MINNESOTA · PI DONG, ZIGANG · 2008 to 2012
$1.7M
Anticarcinogenic Mechanisms of Tea ConstituentsR37CA081064 · NCI · UNIVERSITY OF MINNESOTA · PI DONG, ZIGANG · 2008 to 2012
$1.5M
Inhibition of Carcinogenesis by Tea and Tea ConstituentsR01CA120388 · NCI · UNIVERSITY OF MINNESOTA · PI DONG, ZIGANG · 2006 to 2010
$1.3M
NCI NIH HHS 261200533001C-NO1-CN-53301NCI NIH HHS CA0227501NCI NIH HHS CA120388NCI NIH HHS N01 CN053301NCI NIH HHS R01 CA120388NCI NIH HHS R37 CA081064NIEHS NIH HHS ES016548NIEHS NIH HHS R01 ES016548
6 · The paper itself

Abstract

Plant-based polyphenols (i.e., phytochemicals) have been used as treatments for human ailments for centuries. The mechanisms of action of these plant-derived compounds are now a major area of investigation. Thousands of phytochemicals have been isolated, and a large number of them have shown protective activities or effects in different disease models. Using conventional approaches to select the best single or group of best chemicals for studying the effectiveness in treating or preventing disease is extremely challenging. We have developed and used computational-based methodologies that provide efficient and inexpensive tools to gain further understanding of the anticancer and therapeutic effects exerted by phytochemicals. Computational methods involving virtual screening, shape and pharmacophore analysis and molecular docking have been used to select chemicals that target a particular protein or enzyme and to determine potential protein targets for well-characterized as well as for novel phytochemicals.

Indexed as

Computational BiologyMolecular Targeted TherapyAnticarcinogenic AgentsCell Line, TumorDrug Screening Assays, AntitumorFlavonoidsHumansModels, MolecularNeoplasm ProteinsProtein ConformationUser-Computer InterfaceAnticarcinogenic AgentsFlavonoidsNeoplasm Proteins

Identifiers

PMID22693608
PMCPMC3365021
OpenAlexW2157730094

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.