ArticleMedicinal chemistry (Shariqah (United Arab Emirates))2025
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.
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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.
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Who cites it
1 citing paper in PubMed.
- In Silico Identification of Novel Compounds as Anthelmintics AgainstAnimals : an open access journal from MDPI · 2025Article
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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