偶氮-艾司西酞普兰的表面跳变和半经验光异构动力学研究。

IF 2.8 2区 化学 Q3 CHEMISTRY, PHYSICAL The Journal of Physical Chemistry B Pub Date : 2025-01-09 Epub Date: 2024-12-21 DOI:10.1021/acs.jpcb.4c06924
Hans Georg Gallmetzer, Eduarda Sangiogo Gil, Leticia González
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引用次数: 0

摘要

偶氮艾司西酞普兰是一种合成的人血清素转运体的光开关抑制剂,研究了它在气相和水中的光异构动力学。我们使用在SHARC中实现的轨迹表面跳变方法与浮动占位分子轨道-构型相互作用半经验方法相结合来计算动态能量、力和耦合。使用静电量子力学/分子力学框架使显式水分子的包含成为可能。我们发现反式偶氮-艾西酞普兰的光异构量子产率与波长和环境有关,n→π*激发比π→π*激发产生更高的量子产率。此外,我们观察到在最热稳定的反式异构体的光异构过程中形成两种不同的顺式异构体,其形成速率受激发窗口和周围环境的影响。我们预测比偶氮苯更长的激发态寿命,这表明艾司西酞普兰部分有助于延长寿命和减缓扭转运动。
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Photoisomerization Dynamics of Azo-Escitalopram Using Surface Hopping and a Semiempirical Method.

The photoisomerization dynamics of azo-escitalopram, a synthetic photoswitchable inhibitor of the human serotonin transporter, is investigated in both gas-phase and water. We use the trajectory surface hopping method─as implemented in SHARC─interfaced with the floating occupation molecular orbital-configuration interaction semiempirical method to calculate on-the-fly energies, forces, and couplings. The inclusion of explicit water molecules is enabled using an electrostatic quantum mechanics/molecular mechanics framework. We find that the photoisomerization quantum yield of trans-azo-escitalopram is wavelength- and environment-dependent, with n → π* excitation yielding higher quantum yields than π → π* excitation. Additionally, we observe the formation of two distinct cis-isomers in the photoisomerization from the most thermodynamically stable trans-isomer, with formation rates influenced by both the excitation window and the surrounding environment. We predict longer excited-state lifetimes than those reported for azobenzene, suggesting that the escitalopram moiety contributes to prolonged lifetimes and slower torsional motions.

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来源期刊
CiteScore
5.80
自引率
9.10%
发文量
965
审稿时长
1.6 months
期刊介绍: An essential criterion for acceptance of research articles in the journal is that they provide new physical insight. Please refer to the New Physical Insights virtual issue on what constitutes new physical insight. Manuscripts that are essentially reporting data or applications of data are, in general, not suitable for publication in JPC B.
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