Evidence mapPaperPMID 40069715Full record

ArticleBMC urology2025

Comparison of PDE-5 inhibitors used in erectile dysfunction with some candidate molecules: A study involving molecular docking, ADMET, DFT, biological target, and activity.

Süleyman Sağır, Velid Unsal, Erkan Oner, Reşit Yıldız, Başak Doğru Mert

Abstract readComparative Study
In one paragraph

Article in BMC urology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Evaluation ofFood science & nutrition · 2025
    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.

Süleyman SağırDepartment of Urology, Faculty of Medicine, Mardin Artuklu University, Mardin, 47200, Türkiye.
Velid UnsalDepartment of Nutrition and Dietetics, Faculty of Health Sciences, Mardin Artuklu University, Mardin, 47200, Türkiye. velidunsal@artuklu.edu.tr.ORCID http://orcid.org/0000-0003-1415-0563
Erkan OnerDepartment of Biochemistry, Faculty of Pharmacy, Adıyaman University, Adıyaman, 02000, Türkiye.
Reşit YıldızDepartment of Nutrition and Dietetics, Faculty of Health Sciences, Mardin Artuklu University, Mardin, 47200, Türkiye.
Başak Doğru MertEnergy Systems Engineering Department, Engineering Faculty, Adana Alparslan Türkeş Science and Technology University, Adana, 01250, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Erectile dysfunction (ED) is a urological condition defined as the inability of a man to achieve or maintain an erection. This condition negatively affects his sexual performance and the performance of his partner. Phosphodiesterase type 5 (PDE5) inhibitors are commonly used to treat ED. Arginase II plays an important role in regulating L-arginine to NO synthase in the smooth muscle of the human corpus cavernosum of the penis. NO is a molecule essential for regulating a variety of functions, including arterial blood pressure, penile erection, and energy balance. Substances such as vardenafil, alprostadil, papaverine, and resveratrol increase NO production, thereby supporting sexual function and vascular health. Additionally, NO donors such as L-arginine, L-citrulline, and α-lipoic acid provide effective alternatives when used in combination with PDE5 inhibitors. Medications used in the treatment of ED include vardenafil, alprostadil, and papaverine. In addition, although molecules such as L-arginine, citrulline, resveratrol, alpha-lipoic acid, and rutin are thought to play a role in ED, their pharmacological and molecular effects have not been sufficiently elucidated. The aim of this study was to investigate the effects of these molecules in the treatment of ED by computer-based calculations, to obtain new information about them and to inspire new treatment strategies for ED. The physicochemical, molecular and pharmacokinetic properties of the compounds were determined by SwissADME software, and ADMET (absorption, distribution, metabolism, excretion and toxicity) data were determined by ADMETlab 3.0 software. Biological target and activity data were obtained by MolPredictX and PASS Online software. While the Gaussian 09 program was used for DFT calculations, PyMOL, AutodockTools 4.2.6, AutoDock Vina, and Biovia Discovery programs were used for molecular docking studies. It was found that L-arginine, citrulline, resveratrol and α-lipoic acid were well absorbed from the intestine, while rutin showed limited absorption. When their metabolic risks were evaluated, L-arginine and citrulline were found to have lower toxicity. Molecular docking results of rutin and resveratrol were remarkable. The electronic properties of the compounds were explained by DFT calculations. L-arginine and citrulline were found to have low toxicity and positive therapeutic effects. L-arginine and citrulline stand out as promising candidates for future research. Although resveratrol data are promising, unfortunately their potential toxicity and metabolic interactions require further investigation. It is important to learn more about these compounds or conduct research to improve their therapeutic efficacy. Although computer-based calculations play an important role in toxicity predictions, drug interactions, pharmacokinetics and toxicity properties should be carefully evaluated.

Indexed as

Erectile DysfunctionMolecular Docking SimulationPhosphodiesterase 5 InhibitorsDensity Functional TheoryHumansMaleResveratrolRutinThioctic AcidPhosphodiesterase 5 InhibitorsResveratrolRutinThioctic AcidADMETArginase IIErectile dysfunctionMolecular dockingNOSPDE-5 inhibitors

Identifiers

PMID40069715
PMCPMC11895370

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.