Docking, Synthesis, and In vitro Anti-depressant Activity of Certain Isatin Derivatives.

IF 1.5 4区 医学 Q4 CHEMISTRY, MEDICINAL Current computer-aided drug design Pub Date : 2024-01-01 DOI:10.2174/1573409919666230523114134
Thulasingam Muthukumaran, K Asok Kumar, M Saleshier Francis
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Abstract

Background: In vitro, the molecular docking method has been suggested for estimating the biological affinity of the pharmacophores with physiologically active compounds. It is the latter stage in molecular docking, and the docking scores are examined using the AutoDock 4.2 tool program. The chosen compounds can be evaluated for in vitro activity based on the binding scores, and the IC50 values can be computed.

Objective: The purpose of this work was to create methyl isatin compounds as potential antidepressants, compute physicochemical characteristics, and carry out docking analysis.

Methods: The protein data bank of the RCSB (Research Collaboratory for Structural Bioinformatics) was used to download the PDB structures of monoamine oxidase (PDB ID: 2BXR) and indoleamine 2,3-dioxygenase (PDB ID: 6E35). Based on the literature, methyl isatin derivatives were chosen as the lead chemicals. By determining their IC50 values, the chosen compounds were tested for in vitro anti-depressant activity.

Results: The binding scores for the interactions of SDI 1 and SD 2 with indoleamine 2,3 dioxygenase were found to be -10.55 kcal/mol and -11.08 kcal/mol, respectively, while the scores for their interactions with monoamine oxidase were found to be -8.76 kcal/mol and -9.28 kcal/mol, respectively, using AutoDock 4.2. The relationship between biological affinity and pharmacophore electrical structure was examined using the docking technique. The chosen compounds were tested for their ability to inhibit MAO, and the IC50 values for each were found to be 51.20 and 56, respectively.

Conclusion: This investigation has identified many novel and effective MAO-A inhibitors from the family of chemicals known as methyl isatin derivatives. Lead optimization was applied to the SDI 1 and SDI 2 derivatives. The superior bioactivity, pharmacokinetic profile, BBB penetration, pre-ADMET profiles, such as HIA (human intestinal absorption) and MDCK (Madin-Darby canine kidney), plasma protein binding, toxicity assessment, and docking outcomes, have been obtained. According to the study, synthesised isatin 1 and SDI 2 derivatives exhibited a stronger MAO inhibitory activity and effective binding energy, which may help prevent stress-induced depression and other neurodegenerative disorders caused by a monoamine imbalance.

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某些靛红衍生物的对接、合成和体外抗抑郁活性。
背景:在体外,人们建议采用分子对接法来估算药效物质与生理活性化合物的生物亲和力。这是分子对接的后期阶段,使用 AutoDock 4.2 工具程序检查对接得分。根据结合得分可对所选化合物进行体外活性评估,并计算出 IC50 值:本研究的目的是将甲基靛红化合物作为潜在的抗抑郁药物,计算其理化特性并进行对接分析:方法:利用 RCSB(结构生物信息学研究合作机构)蛋白质数据库下载了单胺氧化酶(PDB ID:2BXR)和吲哚胺 2,3-二氧化酶(PDB ID:6E35)的 PDB 结构。根据文献,我们选择了甲基靛红衍生物作为先导化学品。通过测定其 IC50 值,对所选化合物进行了体外抗抑郁活性测试:使用 AutoDock 4.2 计算发现,SDI 1 和 SD 2 与吲哚胺 2,3 二氧合酶的结合分数分别为 -10.55 kcal/mol 和 -11.08 kcal/mol,而与单胺氧化酶的结合分数分别为 -8.76 kcal/mol 和 -9.28 kcal/mol。利用对接技术研究了生物亲和力与药代电性结构之间的关系。对所选化合物抑制 MAO 的能力进行了测试,发现每个化合物的 IC50 值分别为 51.20 和 56:这项研究从甲基异汀衍生物这一化学家族中发现了许多新型有效的 MAO-A 抑制剂。对 SDI 1 和 SDI 2 衍生物进行了先导优化。研究结果表明,SDI 1 和 SDI 2 衍生物的生物活性、药代动力学特征、BBB 穿透性、HIA(人肠道吸收)和 MDCK(Madin-Darby 犬肾)等前 ADMET 特征、血浆蛋白结合、毒性评估和对接结果均优于其他衍生物。研究结果表明,合成的isatin 1和SDI 2衍生物具有更强的MAO抑制活性和有效的结合能,有助于预防压力引起的抑郁症和其他由单胺失衡引起的神经退行性疾病。
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来源期刊
Current computer-aided drug design
Current computer-aided drug design 医学-计算机:跨学科应用
CiteScore
3.70
自引率
5.90%
发文量
46
审稿时长
>12 weeks
期刊介绍: Aims & Scope Current Computer-Aided Drug Design aims to publish all the latest developments in drug design based on computational techniques. The field of computer-aided drug design has had extensive impact in the area of drug design. Current Computer-Aided Drug Design is an essential journal for all medicinal chemists who wish to be kept informed and up-to-date with all the latest and important developments in computer-aided methodologies and their applications in drug discovery. Each issue contains a series of timely, in-depth reviews, original research articles and letter articles written by leaders in the field, covering a range of computational techniques for drug design, screening, ADME studies, theoretical chemistry; computational chemistry; computer and molecular graphics; molecular modeling; protein engineering; drug design; expert systems; general structure-property relationships; molecular dynamics; chemical database development and usage etc., providing excellent rationales for drug development.
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