(2022) In silico and in vitro studies of thiosemicarbazone-indole hybrid compounds as potent alpha-glycosidase inhibitors. COMPUTATIONAL BIOLOGY AND CHEMISTRY. ISSN 1476-9271 1476-928X J9 - COMPUT BIOL CHEM
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Abstract
It is essential to study alpha-glucosidase enzyme (EC 3.2.1.20) inhibitors because of their physiological role as well as their clinical relevance. In previous research, a novel series of thiosemicarbazone-indole hybrid compounds were synthesized and reported. In the current research, alpha-glucosidase inhibitory activity of the derivatives was evaluated and then in silico studies were carried out on screened compounds. All derivatives exhibited a magnificent alpha-glucosidase inhibitory activity (IC50 = 27.0 +/- 1.0-97.4 +/- 1.5 mu M) toward the acarbose as reference drug (IC50 = 750.0 +/- 1.5 mu M). Compound 1i having phenyl ring at the thiosemicarbazone moiety and the tri-methoxymethyl substituent at phenyl moiety of C2 position of indole ring was the most potent compound (IC50 = 27.0 +/- 1.0 mu M) among other compounds. A kinetic study of 1i revealed that is a competitive inhibitor against alpha-glucosidase. Moreover, the molecular docking studies established that screened derivatives interacted with the essential amino acids in the active site. Finally, based on the molecular dynamics simulations and free binding energy calculations, complexes 1d, 1i and 1k with alpha-glucosidase showed a good stability in the active site. Van der Waals and electrostatic interactions also exhibited the most contributions to the stability of these complexes. Moreover, all the screened compounds showed agreeable ADME properties for oral bio-availability, and good drug-likeness.
Item Type: | Article |
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Keywords: | Thiosemicarbazone-indole hybrids alpha-Glycosidase Molecular dynamic MM/PBSA Drug-likeness MOLECULAR DOCKING GLUCOSIDASE INHIBITION BIOLOGICAL EVALUATION IDENTIFICATION DERIVATIVES ANTICANCER BINDING UREASE TOOL |
Journal or Publication Title: | COMPUTATIONAL BIOLOGY AND CHEMISTRY |
Journal Index: | ISI |
Volume: | 97 |
Identification Number: | https://doi.org/10.1016/j.compbiolchem.2022.107642 |
ISSN: | 1476-9271 1476-928X J9 - COMPUT BIOL CHEM |
Depositing User: | Zahra Otroj |
URI: | http://eprints.mui.ac.ir/id/eprint/16145 |
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