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Chem Biol Drug Des. 2017 Mar;89(3):365-370. doi: 10.1111/cbdd.12861. Epub 2016 Oct 26.

Isonicotinohydrazones as inhibitors of alkaline phosphatase and ecto-5'-nucleotidase.

Author information

1
Department of Chemistry, Quaid-I-Azam University, Islamabad, Pakistan.
2
Centre for Advanced Drug Research, COMSATS Institute of Information Technology, Abbottabad, Pakistan.
3
Département de microbiologie-infectiologie et d'immunologie, Faculté de Médecine, Université Laval, Québec, QC, Canada.
4
Centre de Recherche du CHU de Québec - Université Laval, Québec, QC, Canada.
5
Department of Life Science Informatics, B-IT, LIMES Program Unit Chemical Biology and Medicinal Chemistry, Rheinische Friedrich-Wilhelms-Universität, Bonn, Germany.

Abstract

A series of isonicotinohydrazide derivatives was synthesized and tested against recombinant human and rat ecto-5'-nucleotidases (h-e5'NT and r-e5'NT) and alkaline phosphatase isozymes including both bovine tissue-non-specific alkaline phosphatase (b-TNAP) and tissue-specific calf intestinal alkaline phosphatase (c-IAP). These enzymes are implicated in vascular calcifications, hypophosphatasia, solid tumors, and cancers, such as colon, lung, breast, pancreas, and ovary. All tested compounds were active against both enzymes. The most potent inhibitor of h-e5'NT was derivative (E)-N'-(1-(3-(4-fluorophenyl)-5-phenyl-4,5-dihydro-1H-pyrazol-1-yl)ethylidene)isonicotinohydrazide (3j), whereas derivative (E)-N'-(4-hydroxy-3-methoxybenzylidene)isonicotinohydrazide (3g) exhibited significant inhibitory activity against r-e5'NT. In addition, the derivative (E)-N'-(4'-chlorobenzylidene)isonicotinohydrazide (3a) was most potent inhibitor against calf intestinal alkaline phosphatase and the derivative (E)-N'-(4-hydroxy-3-methoxybenzylidene)isonicotinohydrazide (3g) was found to be most potent inhibitor of bovine tissue-non-specific alkaline phosphatase. Furthermore, putative binding modes of potent compounds against e5'NT (human and rat e5'NT) and AP (including b-TNAP and c-IAP) were determined computationally.

KEYWORDS:

biological screening; drug discovery; molecular modeling

PMID:
27589035
DOI:
10.1111/cbdd.12861
[Indexed for MEDLINE]

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