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Fourfold Filtered Statistical/Computational Approach for the Identification of Imidazole Compounds as HO-1 Inhibitors from Natural Products.

Authors :
Floresta G
Amata E
Gentile D
Romeo G
Marrazzo A
PittalĂ  V
Salerno L
Rescifina A
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.

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