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Fourfold Filtered Statistical/Computational Approach for the Identification of Imidazole Compounds as HO-1 Inhibitors from Natural Products.
- Source :
-
Marine drugs [Mar Drugs] 2019 Feb 12; Vol. 17 (2). Date of Electronic Publication: 2019 Feb 12. - Publication Year :
- 2019
-
Abstract
- Over-regulation of Heme oxygenase 1 (HO-1) has been recently identified in many types of human cancer, and in these cases, poor clinical outcomes are normally reported. Indeed, the inhibition of HO-1 is being considered as an anticancer approach. Imidazole scaffold is normally present in most of the classical HO-1 inhibitors and seems indispensable to the inhibitory activity due to its strong interaction with the Fe(II) of the heme group. In this paper, we searched for new potentially HO-1 inhibitors among three different databases: Marine Natural Products (MNP), ZINC Natural Products (ZNP) and Super Natural II (SN2). 484,527 compounds were retrieved from the databases and filtered through four statistical/computational filters (2D descriptors, 2D-QSAR pharmacophoric model, 3D-QSAR pharmacophoric model, and docking). Different imidazole-based compounds were suggested by our methodology to be potentially active in inhibiting the HO-1, and the results have been rationalized by the bioactivity of the filtered molecules reported in the literature.<br />Competing Interests: The authors declare no conflict of interest.
- Subjects :
- Biological Products chemistry
Computer Simulation
Databases, Factual
Enzyme Inhibitors chemistry
High-Throughput Screening Assays
Imidazoles chemistry
Ligands
Models, Molecular
Molecular Docking Simulation
Molecular Structure
Quantitative Structure-Activity Relationship
Biological Products pharmacology
Enzyme Inhibitors pharmacology
Heme Oxygenase-1 antagonists & inhibitors
Imidazoles pharmacology
Subjects
Details
- Language :
- English
- ISSN :
- 1660-3397
- Volume :
- 17
- Issue :
- 2
- Database :
- MEDLINE
- Journal :
- Marine drugs
- Publication Type :
- Academic Journal
- Accession number :
- 30759842
- Full Text :
- https://doi.org/10.3390/md17020113