2022
DOI: 10.3390/cimb44100329
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Pharmacophore-Model-Based Virtual-Screening Approaches Identified Novel Natural Molecular Candidates for Treating Human Neuroblastoma

Abstract: The mortality of cancer patients with neuroblastoma is increasing due to the limited availability of specific treatment options. Few drug candidates for combating neuroblastoma have been developed, and identifying novel therapeutic candidates against the disease is an urgent issue. It has been found that muc-N protein is amplified in one-third of human neuroblastomas and expressed as an attractive drug target against the disease. The myc-N protein interferes with the bromodomain and extraterminal (BET) family … Show more

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Cited by 8 publications
(3 citation statements)
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“…The existence of hydrogen bonds, lipophilic or hydrophilic interactions, andionizable charges affect the binding affinity of the protein and ligand interactions. ( Opo et al, 2022 ). Findings insinuate the motive that CBZ toxicity can be minimized by using moringa and flaxseed oil.…”
Section: Discussionmentioning
confidence: 99%
“…The existence of hydrogen bonds, lipophilic or hydrophilic interactions, andionizable charges affect the binding affinity of the protein and ligand interactions. ( Opo et al, 2022 ). Findings insinuate the motive that CBZ toxicity can be minimized by using moringa and flaxseed oil.…”
Section: Discussionmentioning
confidence: 99%
“…Quantitative and qualitative evaluations of mutagenicity, carcinogenicity, LD50 value, and immunotoxicity were performed. Toxicological profiles were calculated using the ProTox-II web server ( Opo et al, 2022 ).…”
Section: Methodsmentioning
confidence: 99%
“…Based on the pharmacophore model, the structurally novel and active molecules can be identified by the completion of virtual screening. Chemical databases such as Zinc database (https://zinc.docking.org/, accessed on 7 May 2020) can be used to identify possible lead compounds [24]. Compounds from the database can be searched using the structural information, name of the compound, or chemical smile ID.…”
Section: Dataset Generation For Pharmacophore-base Screeningmentioning
confidence: 99%