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塔洛罗利德 A 和塔洛肽 A-D:通过密度泛函理论(DFT)和概念性 DFT 研究具有有趣化学和生物活性的潜在海洋衍生治疗肽。

Talarolide A and Talaropeptides A-D: Potential Marine-Derived Therapeutic Peptides with Interesting Chemistry and Biological Activity Studied through Density Functional Theory (DFT) and Conceptual DFT.

机构信息

Departamento de Medio Ambiente y Energía, Centro de Investigación en Materiales Avanzados, Miguel de Cervantes 120, Complejo Industrial Chihuahua, Chihuahua 31136, Mexico.

出版信息

Molecules. 2023 Sep 20;28(18):6708. doi: 10.3390/molecules28186708.

Abstract

Molecules sourced from marine environments hold immense promise for the development of novel therapeutic drugs, owing to their distinctive chemical compositions and valuable medicinal attributes. Notably, Talarolide A and Talaropeptides A-D have gained recent attention as potential candidates for pharmaceutical applications. This study aims to explore the chemical reactivity of Talarolide A and Talaropeptides A-D through the application of molecular modeling and computational chemistry techniques, specifically employing Conceptual Density Functional Theory (CDFT). By investigating their chemical behaviors, the study seeks to contribute to the understanding of the potential pharmacological uses of these marine-derived compounds. The molecular geometry optimizations and frequency calculations were conducted using the Density Functional Tight Binding (DFTBA) method. This was followed by a subsequent round of geometry optimization, frequency analysis, and computation of electronic properties and chemical reactivity descriptors. We employed the MN12SX/Def2TZVP/H2O model chemistry, utilizing the Gaussian 16 program and the SMD solvation model. The analysis of the global reactivity descriptors arising from CDFT was achieved as well as the graphical comparison of the dual descriptor DD revealing the areas of the molecules with more propensity to suffer a nucleophilic or electrophilic attack. Additionally, Molinspiration and SwissTargetPrediction were considered for the calculation of molecular characteristics and predicted biological targets. These include enzymes, nuclear receptors, kinase inhibitors, GPCR ligands, and ion channel modulators. The graphical results show that Talarolide A and the Talaropeptides A-D are likely to behave as protease inhibitors.

摘要

海洋环境中的分子因其独特的化学组成和有价值的药用属性,为新型治疗药物的开发带来了巨大的潜力。特别是 Talarolide A 和 Talaropeptides A-D 作为药物应用的潜在候选物引起了人们的关注。本研究旨在通过应用分子建模和计算化学技术,特别是概念密度泛函理论(CDFT),来探索 Talarolide A 和 Talaropeptides A-D 的化学反应性。通过研究它们的化学行为,本研究旨在为理解这些海洋衍生化合物的潜在药理学用途做出贡献。采用密度泛函紧束缚(DFTBA)方法进行分子几何优化和频率计算。然后进行了一轮几何优化、频率分析以及电子性质和化学反应性描述符的计算。我们采用了 MN12SX/Def2TZVP/H2O 模型化学,使用 Gaussian 16 程序和 SMD 溶剂化模型。还进行了 CDFT 产生的全局反应性描述符的分析,以及双描述符 DD 的图形比较,揭示了分子中更易受到亲核或亲电攻击的区域。此外,还考虑了 Molinspiration 和 SwissTargetPrediction 来计算分子特征和预测的生物靶标。这些靶标包括酶、核受体、激酶抑制剂、GPCR 配体和离子通道调节剂。图形结果表明,Talarolide A 和 Talaropeptides A-D 可能表现为蛋白酶抑制剂。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a03e/10536153/fe3ee7c10425/molecules-28-06708-g001.jpg

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