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计算化学:靶向合成化合物的可及性预测

Computational Chemistry: Prediction of Compound Accessibility of Targeted Synthesized Compounds.

作者信息

Babu Visagamoorthy, Ahmed Sumeer, Rahiman Aziz Kalilur, Kawsar Sarkar M A, Berredjem Malika, Bhat Ajmal Rashid, Basha Kottur Anver

机构信息

Research & Development Centre, Bharathiar University, Coimbatore, India.

Department of Chemistry, Post-Graduate and Research Department of Chemistry, The New College (Autonomous), University of Madras, Chennai 600 014, India.

出版信息

Med Chem. 2025;21(5):334-344. doi: 10.2174/0115734064293464240405050455.

Abstract

INTRODUCTION

In the present work, a series of novel pyridine carboxamides 3(a-h) were synthesized and screened with antibacterial activity. This research explores the application of Density Functional Theory (DFT) in studying biological systems at the quantum mechanical level, particularly in the context of drug design. DFT offers a streamlined approach to quantum mechanical calculations, making it indispensable in various scientific fields, and for its exceptional accuracy, reduced computational time, and cost-effectiveness has become a pivotal tool in computational chemistry. This research work highlights the integration of DFT studies with POM analyses, which effectively identify pharmacophoric sites. Moreover, the research incorporates pharmacokinetics analyses to assess the pharmacokinetic properties of synthesized compounds. The paper focused on a series of compounds previously reported, aiming to provide a comprehensive understanding of their electronic structure, pharmacophoric features, and potential as drug candidates. This study not only contributes to the evolving field of computational chemistry but also holds implications for advancing drug design processes by combining theoretical insights with practical analyses.

METHODS

The compounds 3(a-h) were subjected to Density Functional Theory (DFT) computations using the B3LYP/6-31G(d) basis set to get optimized geometric structures. GaussViewis used to display the contributions of the highest occupied molecular orbital (HOMO) and lowest unoccupied molecular orbital (LUMO). The determination of energy gaps was conducted using Gaussian 09W. The pharmacokinetic profiles were evaluated using existing techniques such as Osiris, Petra, and Molinspiration, as well as a novel platform called POM Analyse.

RESULTS

The computational studies DFT, POM and pharmacokinetics studies revealed that the studied compounds are biologically active, non-toxic, non-carcinogenic in nature and may be utilized as drug candidates.

CONCLUSION

Density functional theory (DFT) investigations emphasize the exceptional stability of complex 3d, which possesses the biggest energy gap and the lowest softness. In contrast, compound 3h demonstrates poorer stability among the tested compounds, characterized by the lowest energy gap and the highest softness values. These findings are further substantiated by absolute energy calculations. The negligible energy difference in compound 3h indicates an increased transfer of electric charge within the molecule, which is associated with its enhanced biological effectiveness. The drug-likeness of the compounds is confirmed by POM and in silico pharmacokinetics investigations, with compound 3h being identified as the most biologically active among the investigated compounds.

摘要

引言

在本研究中,合成了一系列新型吡啶甲酰胺3(a - h)并对其进行抗菌活性筛选。本研究探索了密度泛函理论(DFT)在量子力学水平上研究生物系统的应用,特别是在药物设计背景下。DFT为量子力学计算提供了一种简化方法,在各个科学领域中不可或缺,因其具有卓越的准确性、减少的计算时间和成本效益,已成为计算化学中的关键工具。本研究工作突出了DFT研究与POM分析的整合,这有效地识别了药效团位点。此外,该研究纳入了药代动力学分析以评估合成化合物的药代动力学性质。本文聚焦于一系列先前报道的化合物,旨在全面了解其电子结构、药效团特征以及作为候选药物的潜力。本研究不仅为不断发展的计算化学领域做出贡献,还通过将理论见解与实际分析相结合,对推进药物设计过程具有重要意义。

方法

使用B3LYP/6 - 31G(d)基组对化合物3(a - h)进行密度泛函理论(DFT)计算以获得优化的几何结构。使用GaussView显示最高占据分子轨道(HOMO)和最低未占据分子轨道(LUMO)的贡献。使用Gaussian 09W进行能隙测定。使用现有技术如Osiris、Petra和Molinspiration以及一个名为POM Analyse的新型平台评估药代动力学概况。

结果

DFT计算研究、POM和药代动力学研究表明,所研究的化合物具有生物活性,本质上无毒、无致癌性,可作为候选药物。

结论

密度泛函理论(DFT)研究强调了配合物3d的卓越稳定性,其具有最大的能隙和最低的柔软度。相比之下,化合物3h在测试化合物中表现出较差的稳定性,其特征在于最低的能隙和最高的柔软度值。这些发现通过绝对能量计算得到进一步证实。化合物3h中可忽略不计的能量差异表明分子内电荷转移增加,这与其增强的生物有效性相关。POM和计算机模拟药代动力学研究证实了这些化合物的类药性,化合物3h被确定为所研究化合物中生物活性最高的。

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