Suppr超能文献

BN 和 AlN 纳米载体上抗 COVID-19 药物 Molnupiravir 的吸附:DFT 研究。

Adsorption of Molnupiravir anti-COVID-19 drug over BN and AlN nanocarriers: a DFT study.

机构信息

Computational Chemistry Laboratory, Chemistry Department, Faculty of Science, Minia University, Minia, Egypt.

School of Health Sciences, University of KwaZulu-Natal, Westville, Durban, South Africa.

出版信息

J Biomol Struct Dyn. 2023;41(22):12923-12937. doi: 10.1080/07391102.2023.2169763. Epub 2023 Jan 23.

Abstract

The potentiality of BN and AlN nanocarriers to adsorb Molnupiravir anti-COVID-19 drug, for the first time, was herein elucidated using a series of quantum mechanical calculations. Density function theory (DFT) was systematically utilized. Interaction () and adsorption () energies showed higher negative values for Molnupiravir···AlN complexes compared with Molnupiravir···BN analogs. Symmetry-adapted perturbation theory (SAPT) results proclaimed that the adsorption process was predominated by electrostatic forces. Notably, the alterations in the distributions of the molecular orbitals ensured that the BN and AlN nanocarriers were efficient candidates for delivering the Molnupiravir drug. From the thermodynamic perspective, the adsorption process of Molnupiravir drug over BN and AlN nanocarriers had spontaneous and exothermic nature. The ESP, QTAIM, NCI, and DOS observations exposed the tendency of BN and AlN to adsorb the Molnupiravir drug. Overall, these findings proposed that the BN and AlN nanocarriers are efficient aspirants for the development of the Molnupiravir anti-COVID-19 drug delivery process.Communicated by Ramaswamy H. Sarma.

摘要

本文首次利用一系列量子力学计算阐明了 BN 和 AlN 纳米载体吸附 Molnupiravir 抗 COVID-19 药物的潜力。系统地采用了密度泛函理论 (DFT)。相互作用()和吸附()能对于 Molnupiravir···AlN 配合物显示出比 Molnupiravir···BN 类似物更高的负值。对称自适应微扰理论 (SAPT) 的结果宣称,吸附过程主要由静电力主导。值得注意的是,分子轨道分布的变化确保了 BN 和 AlN 纳米载体是输送 Molnupiravir 药物的有效候选者。从热力学角度来看,BN 和 AlN 纳米载体上 Molnupiravir 药物的吸附过程具有自发和放热的性质。ESP、QTAIM、NCI 和 DOS 的观察表明 BN 和 AlN 倾向于吸附 Molnupiravir 药物。总体而言,这些发现表明 BN 和 AlN 纳米载体是开发 Molnupiravir 抗 COVID-19 药物输送过程的有效候选者。由 Ramaswamy H. Sarma 传达。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验