Synthesis, anti-tuberculosis activity, and 3D-QSAR study of 4-(adamantan-1-yl)-2-substituted quinolines
Structural optimization of the previously identified 4-(adamantan-1-yl)-2-quinolinecarbohydrazide (AQCH, MIC = 6.25 μg/mL, 99% inhibition, Mycobacterium tuberculosis H37Rv) has led to two series of 4-(adamantan-1-yl)-2-substituted quinolines (Series 1–2). All new derivatives were evaluated in vitro...
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Published in | Bioorganic & medicinal chemistry Vol. 15; no. 2; pp. 626 - 640 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
England
Elsevier Ltd
15.01.2007
|
Subjects | |
Online Access | Get full text |
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Summary: | Structural optimization of the previously identified 4-(adamantan-1-yl)-2-quinolinecarbohydrazide (AQCH, MIC
=
6.25
μg/mL, 99% inhibition,
Mycobacterium tuberculosis H37Rv) has led to two series of 4-(adamantan-1-yl)-2-substituted quinolines (Series 1–2). All new derivatives were evaluated in vitro for antimycobacterial activities against drug-sensitive
M. tuberculosis H37Rv strain. Several 4-adamantan-1-yl-quinoline-2-carboxylic acid
N′-alkylhydrazides (Series 1) described herein showed promising inhibitory activity. In particular, analogs
7,
9,
20, and
21 displayed MIC of 3.125
μg/mL. Further investigation of AQCH by its reaction with various aliphatic, aromatic, and heteroaromatic aldehydes led to the synthesis of 4-adamantan-1-yl-quinoline-2-carboxylic acid alkylidene hydrazides (Series 2). Analogs
42–
44 and
48 have produced promising antimycobacterial activities (99% inhibition) at 3.125
μg/mL against drug-sensitive
M. tuberculosis H37Rv strain. The most potent analog
35 of the series produced 99% inhibition at 1.00
μg/mL against drug-sensitive strain, and MIC of 3.125
μg/mL against isoniazid-resistant TB strain. To understand the relationship between structure and activity, a 3D-QSAR analysis has been carried out by three methods—comparative molecular field analysis (CoMFA), CoMFA with inclusion of a hydropathy field (HINT), and comparative molecular similarity indices analysis (CoMSIA). Several statistically significant CoMFA, CoMFA with HINT, and CoMSIA models were generated. Prediction of the activity of a test set of molecules was the best for the CoMFA model generated with database alignment. Based on the CoMFA contours, we have tried to explain the structure–activity relationships of the compounds reported herein. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0968-0896 1464-3391 |
DOI: | 10.1016/j.bmc.2006.10.064 |