Evidence map›Paper›PMID 19597523›Full record

ArticleActa pharmacologica Sinica2009

Discovery of potent inhibitors for phosphodiesterase 5 by virtual screening and pharmacophore analysis.

Chien-yu Chen, Yea-huey Chang, Da-tian Bau, Hung-jin Huang, Fuu-jen Tsai, Chang-hai Tsai, Calvin Yu-chian Chen

Open access · bronzeAbstract read
In one paragraph

Article in Acta pharmacologica Sinica, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
11.1field-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

11 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
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  3. A literature review onHeliyon · 2023
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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

7 authors at 3 institutions in 1 country.

Chien-yu ChenLaboratory of Pharmacoinformatics and Nanotechnology, Department of Biological Science and Technology, China Medical University, Taichung 40402, Taiwan, China.
Yea-huey Chang
Da-tian Bau
Hung-jin Huang
Fuu-jen Tsai
Chang-hai Tsai
Calvin Yu-chian Chen
China Medical University · TWAsia University · TWChina Medical University Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo explore the potent inhibitor from one of the Traditional Chinese medicine (TCM), Epimedium sagittatum.

methodsWe predicted the potent compound, ES03b, de novo evolution from the four Epimedium sagittatum components were verified by molecular docking, pharmacophore analysis, and analysis of quantitative structure-activity relationship (QSAR) model, which was constructed by multiple linear regression.

resultsES03b was chosen to undergo drug modification via de novo evolution. By analyzing the pharmacophore features, we found that the hydrophobic core in the binding site and the hydrogen bond generated at Asn663 played key roles in designing PDE5 inhibitors. ES03b generated 49 diversities (Evo01-49). Evo48 had high activity in prediction. Although the value of prediction was overestimated, Evo48 was suggested as the potent lead.

conclusionIn this study, we showed that the hydrophobic core in the binding site and hydrogen bond production on Asn663 played key roles to design PDE5 inhibitors. From several require validation analysis, Evo48 was suggested to be a potent inhibitor.

Indexed as

Phosphodiesterase 5 InhibitorsCyclic Nucleotide Phosphodiesterases, Type 5Drugs, Chinese HerbalEpimediumErectile DysfunctionHumansMaleModels, MolecularMolecular StructureProtein BindingQuantitative Structure-Activity RelationshipCyclic Nucleotide Phosphodiesterases, Type 5Drugs, Chinese HerbalPhosphodiesterase 5 Inhibitors

Identifiers

PMID19597523
PMCPMC4006686
OpenAlexW2088439205

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.