Leu-Enkephalin阿片肽神经递质化学反应特性和生物活性评分的概念密度泛函理论研究

J. Frau, N. Flores-Holguín, D. Glossman-Mitnik
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引用次数: 10

摘要

SMD溶剂化模型(基于密度的溶剂化模型)和八个密度泛函,CAM-B3LYP、LC-ωPBE、M11、MN12SX、N12SX、ωB97、ωB97X和ωB97XD,结合Def2TZVP基组进行评估,用于计算Leu-Enkephalin阿片肽神经递质的结构及其分子性质。通过概念密度泛函理论(CDFT),计算了系统的整个化学描述符。亲电、亲核和自由基攻击所需分子的活性区是通过将它们与相应的福井函数连接来选择的。此外,对肽的pKa值的预测非常准确,并且所研究的分子具有作为高级糖化终产物(AGEs)形成的有效抑制剂的能力,这包括开发预防阿尔茨海默病、糖尿病和帕金森病的药物的有用知识。最后,通过各种方法预测了所研究肽的生物活性评分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Conceptual Density Functional Theory Study of the Chemical Reactivity Properties and Bioactivity Scores of the Leu-Enkephalin Opioid Peptide Neurotransmitter
The SMD solvation model (Solvation Model based on the Density) and eight density functionals, CAM-B3LYP, LC-ωPBE, M11, MN12SX, N12SX, ωB97, ωB97X, and ωB97XD, were assessed in link with the Def2TZVP basis set for the calculation of the structure of the Leu-Enkephalin Opioid Peptide Neurotransmitter as well as their molecular properties. Through the Conceptual Density Functional Theory (CDFT), the entire chemical descriptors for the system were calculated. The active regions of the molecules necessary for electrophilic, nucleophilic and radical attacks were chosen through linking them with the corresponding Fukui functions. Furthermore, the prediction of the pKa value for the peptide is done with great accuracy as well as the ability of the studied molecule in acting as an efficient inhibitor of the formation of Advanced Glycation Endproducts (AGEs), which comprises of a useful knowledge for the development of drugs for preventing Alzheimer, Diabetes and Parkinson diseases. Lastly, the bioactivity scores for the studied peptides are predicted via various methodologies.
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