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Research Articles

Biological Activity and Molecular Docking Study of Some Bicyclic Structures: Antidiabetic and Anticholinergic Potentials

ORCID Icon, , , , , , , , & ORCID Icon show all
Pages 6003-6016 | Received 15 Mar 2021, Accepted 07 Aug 2021, Published online: 24 Sep 2021
 

Abstract

Bicyclic structures were synthesized by LACASA-DA cycloaddition reaction using (S)-BINOL as a chiral inductor. The N-2 pyridazine position was protected; the hydroxyl group was carbonylated to form the new bicyclic structure. The protective group was removed, the double bond dehydroxylated leading to the target compound. Removing of the protective group was performed using newly found ecofriendly catalyst for N-Boc deprotection. The obtained features from the model against AChE enzyme suggest that a lower the size of the ring, number of –NH-NH- groups, number of secondary aromatic amines, number of aromatic ketone groups may contribute to the inhibitory activity. The features obtained from the model against BChE enzyme suggest that the sum of topological distances between two nitrogen atoms, number of secondary aromatic amides, may be more favorable for inhibition. The features obtained from selectivity-based model suggest that the number of aromatic ethers, unsaturation content related to their molecular size and molecular shape may be more specific for the inhibition of the AChE enzyme in comparison to the BChE enzyme. Similarly, these aromatic structures inhibited the α-glucosidase enzyme at the micromolar level due to its structural feature. Inhibition values were found to be statistically significant, especially for cholinesterase enzymes. Molecular docking method was used to compare the biological activities of molecules against enzymes. The enzymes used in this study are α-glycosidase, butyrylcholinesterase, acetylcholinesterase, respectively. ADME/T analysis was performed to use some bicyclic molecules as drugs in the future.

Disclosure statement

The authors declare that no conflicts of interests.

Additional information

Funding

This work is supported by the Scientific Research Project Fund of Sivas Cumhuriyet University under the project number RGD-020. This research was made possible by TUBITAK ULAKBIM, High Performance and Grid Computing Center (TR-Grid e-Infrastructure).

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