Experimental and computational analysis of benzothiophene as a selective inhibitors of diabetes mellitus

IF 2.7 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Shoaib Khan , Mujaddad Ur Rehman , Tayyiaba Iqbal , Zanib Fiaz , Parham Taslimi , Hany W. Darwish , Muhammad Adnan
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引用次数: 0

Abstract

Diabetes mellitus results in chronic hyperglycemia, affecting more than one hundred million people over the world. To treat diabetes mellitus, novel benzothiophene-derived thiadiazole analogues (1-17) were synthesized to biological assess their potential as lead inhibitors of both diabetic enzymes (α-amylase and α-glucosidase). These compounds showed quite remarkable potency against both enzymes and emerged as anti-diabetic agents. As a reference for their biological assessment, acarbose (5.90 ± 0.30 μM, 6.50 ± 1.80 μM) were used and in comparison to it analogue 3 having IC50 of 4.20 ± 0.50 μM, 4.90 ± 1.50 μM, 6 with IC50 of 3.10 ± 1.20 μM, 4.10 ± 0.80 μM, 10 with IC50 of 5.20 ± 1.20 μM, 6.10 ± 2.10 μM and 16 having IC50 of 3.90 ± 2.20 μM, 4.10 ± 1.20 μM emerged as most active analogues among the synthesized derivatives. Versatile attached functionalities such as CF3, F, OH and Cl bind with the target proteins in order to inhibit their normal activity or function. Binding potency (interactive properties) of the leading compounds was also revealed under molecular docking. ADME analysis further unveiled that the potent compounds exhibit drug properties. Moreover, reactivity of these analogues with leading potential was also explored via density functional theory (DFT), revealing their molecular electrostatic potential, electrophilic, nucleophilic, HOMO and LUMO sites.

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来源期刊
Journal of molecular graphics & modelling
Journal of molecular graphics & modelling 生物-计算机:跨学科应用
CiteScore
5.50
自引率
6.90%
发文量
216
审稿时长
35 days
期刊介绍: The Journal of Molecular Graphics and Modelling is devoted to the publication of papers on the uses of computers in theoretical investigations of molecular structure, function, interaction, and design. The scope of the journal includes all aspects of molecular modeling and computational chemistry, including, for instance, the study of molecular shape and properties, molecular simulations, protein and polymer engineering, drug design, materials design, structure-activity and structure-property relationships, database mining, and compound library design. As a primary research journal, JMGM seeks to bring new knowledge to the attention of our readers. As such, submissions to the journal need to not only report results, but must draw conclusions and explore implications of the work presented. Authors are strongly encouraged to bear this in mind when preparing manuscripts. Routine applications of standard modelling approaches, providing only very limited new scientific insight, will not meet our criteria for publication. Reproducibility of reported calculations is an important issue. Wherever possible, we urge authors to enhance their papers with Supplementary Data, for example, in QSAR studies machine-readable versions of molecular datasets or in the development of new force-field parameters versions of the topology and force field parameter files. Routine applications of existing methods that do not lead to genuinely new insight will not be considered.
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