Evidence map›Paper›PMID 40303924›Full record

ArticleFrontiers in pharmacology2025

Identification of novel amides and alkaloids as putative inhibitors of dopamine transporter for schizophrenia using computer-aided virtual screening.

Iqra Ahmad, Anam Tassawer, Muhammad Umer Khan, Muhammad Shehroz, Umar Nishan, Sheheryar Sheheryar, Hanna Dib, Mohamed A O Abdelfattah, Mohibullah Shah

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Inhibition Profiling ofMolecules (Basel, Switzerland) · 2025
    Article
  3. Article
  4. 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

9 authors.

Iqra Ahmad *Department of Biochemistry, Bahauddin Zakariya University, Multan, Pakistan.
Anam Tassawer *Department of Biochemistry, Bahauddin Zakariya University, Multan, Pakistan.
Muhammad Umer KhanInstitute of Molecular Biology and Biotechnology, The University of Lahore, Lahore, Pakistan.
Muhammad ShehrozDepartment of Bioinformatics, Kohsar University Murree, Murree, Pakistan.
Umar NishanHainan International Joint Research Center of Marine Advanced Photoelectric Functional Materials, College of Chemistry and Chemical Engineering, Hainan Normal University, Haikou, China.
Sheheryar SheheryarDepartment of Animal Science, Federal University of Ceara, Fortaleza, Brazil.
Hanna DibCollege of Engineering and Technology, American University of the Middle East, Egaila 54200, Kuwait.
Mohamed A O AbdelfattahCollege of Engineering and Technology, American University of the Middle East, Egaila 54200, Kuwait.
Mohibullah ShahDepartment of Biochemistry, Bahauddin Zakariya University, Multan, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Schizophrenia is a complex psychiatric disorder marked by delusions, memory impairments, hallucinations, disorganized behavior, and severe cognitive deficits. Targeting the dopamine transporter (DAT) protein is promising for treating cognitive symptoms, especially in patients resistant to antipsychotic treatments. In this study, phytochemicals from six medicinal plants underwent virtual screening, and molecular dynamics simulation to identify potential agents targeting DAT. Key drug-like properties, safety, and biological activity were evaluated for identified hits. Pharmacokinetic simulation and pharmacophoric analysis were also performed. Among 990 screened phytochemicals, three alkaloids and six amides, predominantly from

Indexed as

antipsychotic treatmentdrug designingin-silicomedicinal plantsphytochemicals

Identifiers

PMID40303924
PMCPMC12039762

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.