Computational design of an improved photoswitchable psychedelic based on light absorption, membrane permeation and protein binding

IF 2.9 3区 化学 Q3 CHEMISTRY, PHYSICAL
Vito F. Palmisano, Claudio Agnorelli, Shirin Faraji and Juan J. Nogueira
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Abstract

Psychedelic compounds can induce rapid-acting and long-lasting antidepressant benefits. Understanding the role of their hallucinatory effects is crucial for shaping the future trajectory of antidepressant drug development. Photoswitchable compounds targeting the 5-HT2AR offer precise spatio-temporal control over the activation of different downstream pathways. In this work, we computationally discovered PQ-azo-N,N-DMT (34), a photoswitch with improved features compared to the previously synthesized azo-N,N-DMT (1). The new compound shows tight binding to the 5-HT2AR, retaining all important interactions of lysergic acid diethylamide (LSD), exhibits positive membrane permeability, and has a strong red-shifted absorption that would allow photocontrol in the visible spectrum.

Abstract Image

基于光吸收、膜渗透和蛋白质结合的改进型光开关致幻剂的计算设计
迷幻化合物可以诱导快速和持久的抗抑郁作用。了解它们的幻觉作用对塑造抗抑郁药物发展的未来轨迹至关重要。靶向5-HT2AR的光开关化合物对不同下游通路的激活提供精确的时空控制。在这项工作中,我们通过计算发现了PQ-azo-N,N-DMT(34),这是一种与之前合成的azo-N,N-DMT(1)相比具有改进特性的光开关。新化合物与5-HT2AR紧密结合,保留了麦角酸二乙基酰胺(LSD)的所有重要相互作用,具有正膜通透性,并且具有强红移吸收,可以在可见光谱中进行光控制。
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来源期刊
Physical Chemistry Chemical Physics
Physical Chemistry Chemical Physics 化学-物理:原子、分子和化学物理
CiteScore
5.50
自引率
9.10%
发文量
2675
审稿时长
2.0 months
期刊介绍: Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.
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