Evidence map›Paper›PMID 39950276›Full record

ArticleMedicinal chemistry (Shariqah (United Arab Emirates))2025

Hassan Bin Waseem, Muhammad Shakeel, Faiz-Ul Hassan, Asma Yaqoob, Azhar Iqbal, Amna Khalid, Hafiza Nisha Akram, Noshaba Dilbar, Saad Qamar, Rana Adnan Tahir and 1 more

Abstract read
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In one paragraph

Article in Medicinal chemistry (Shariqah (United Arab Emirates)), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. In Silico Identification of Novel Compounds as Anthelmintics AgainstAnimals : an open access journal from MDPI · 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

11 authors.

Hassan Bin WaseemDepartment of Bioinformatics, Institute of Biochemistry, Biotechnology and Bioinformatics, The Islamia University of Bahawalpur, Bahawalpur, Punjab, Pakistan.
Muhammad ShakeelDepartment of Biochemistry and Molecular Biology, Institute of Biochemistry, Biotechnology and Bioinformatics, The Islamia University of Bahawalpur, Bahawalpur, Punjab, Pakistan.
Faiz-Ul HassanDepartment of Breeding and Genetics, Faculty of Animal Production and Technology, Cholistan University of Veterinary and Animal Sciences, Bahawalpur, Pakistan.
Asma YaqoobDepartment of Biochemistry and Molecular Biology, Institute of Biochemistry, Biotechnology and Bioinformatics, The Islamia University of Bahawalpur, Bahawalpur, Punjab, Pakistan.
Azhar IqbalDepartment of Biotechnology, University of Okara, Okara, Punjab, Pakistan.
Amna KhalidDepartment of Biotechnology, University of Okara, Okara, Punjab, Pakistan.
Hafiza Nisha AkramDepartment of Biotechnology, Institute of Biochemistry, Biotechnology and Bioinformatics, The Islamia University of Bahawalpur, Bahawalpur, Punjab, Pakistan.
Noshaba DilbarDepartment of Biochemistry and Molecular Biology, Institute of Biochemistry, Biotechnology and Bioinformatics, The Islamia University of Bahawalpur, Bahawalpur, Punjab, Pakistan.
Saad QamarDepartment of Biochemistry and Molecular Biology, Institute of Biochemistry, Biotechnology and Bioinformatics, The Islamia University of Bahawalpur, Bahawalpur, Punjab, Pakistan.
Rana Adnan TahirDepartment of Biology, Sultan Qaboos University, Muscat, Oman.
Sheikh Arslan SehgalDepartment of Genomics and Bioinformatics, Cholistan University of Veterinary and Animal Sciences, Bahawalpur, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionLiver cancer is considered one of the most common types of cancer and a major cause of ephemerality worldwide having a higher prevalence rate in Asia and sub-Saharan Africa. The alpha-fetoprotein (AFP) is a serum glycoprotein that belongs to a class of oncodevelopmental proteins and is also involved in tumor formation.

methodsIn the current effort, a hybrid approach of virtual screening followed by pharmacophore generation and molecular dynamic simulation analyses were performed. The screened top-ranked 10 docked compounds from the selected anti-cancer compound library were utilized to generate the ligand-based pharmacophore. Virtual screening was performed two-dimensional similarity search against the selected natural compound library based on their physicochemical properties. It was observed that all the compounds from the anti-cancer compound library and natural compound library showed similar binding resides.

resultsTherefore, the top-ranked screened compounds that showed the least binding energy and highest binding affinity against AFP, obtained through the anti-cancer drug library and natural compound library were reported. The molecular docking analyses revealed that Leu-219, His-222, Lys-242, Lys-246, His-316, Glu-318, Ala-366, Val-367, Gly-475, Ile-479, Ala-471, Asp-478 were observed as potential residues for interaction.

conclusionThe observed results of virtual screening, molecular docking, and MD simulation analyses entail noteworthy observations illustrating that NC002 was a potent inhibitor. The proposed compound NC002 may have potential against liver cancer by targeting AFP based on MD simulation analyses, PCA, and MM-GBSA.

Indexed as

alpha-FetoproteinsAntineoplastic AgentsLiver NeoplasmsComputer SimulationDrug Screening Assays, AntitumorHumansMolecular Docking SimulationMolecular Dynamics SimulationMolecular StructureStructure-Activity Relationshipalpha-FetoproteinsAntineoplastic Agentsanti-cancer compoundanti-cancer drugComputational screeninginhibitorsliver cancerpharmacophore.potential AFP

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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.