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1.
J Mol Model ; 30(8): 255, 2024 Jul 06.
Article in English | MEDLINE | ID: mdl-38970658

ABSTRACT

CONTEXT: Although quantum mechanical calculations have proven effective in accurately predicting UV absorption and assessing the antioxidant potential of compounds, the utilization of computer-aided drug design (CADD) to support sustainable synthesis research of new sunscreen active ingredients remains an area with limited exploration. Furthermore, there are ongoing concerns about the safety and effectiveness of existing sunscreens. Therefore, it remains crucial to investigate photoprotection mechanisms and develop enhanced strategies for mitigating the harmful effects of UVR exposure, improving both the safety and efficacy of sunscreen products. A previous study conducted synthesis research on eight novel hybrid compounds (I-VIII) for use in sunscreen products by molecular hybridization of trans-resveratrol (RESV), avobenzone (AVO), and octinoxate (OMC). Herein, time-dependent density functional theory (TD-DFT) calculations performed in the gas phase on the isolated hybrid compounds (I-VIII) proved to reproduce the experimental UV absorption. Resveratrol-avobenzone structure-based hybrids (I-IV) present absorption maxima in the UVB range with slight differences between them, while resveratrol-OMC structure-based hybrids (V-VIII) showed main absorption in the UVA range. Among RESV-OMC hybrids, compounds V and VI exhibited higher UV absorption intensity, and compound VIII stood out for its broad-spectrum coverage in our simulations. Furthermore, both in silico and in vitro analyses revealed that compounds VII and VIII exhibited the highest antioxidant activity, with compound I emerging as the most reactive antioxidant within RESV-AVO hybrids. The study suggests a preference for the hydrogen atom transfer (HAT) mechanism over single-electron transfer followed by proton transfer (SET-PT) in the gas phase. With a strong focus on sustainability, this approach reduces costs and minimizes effluent production in synthesis research, promoting the eco-friendly development of new sunscreen active ingredients. METHODS: The SPARTAN'20 program was utilized for the geometry optimization and energy calculations of all compounds. Conformer distribution analysis was performed using the Merck molecular force field 94 (MMFF94), and geometry optimization was carried out using the parametric method 6 (PM6) followed by density functional theory (DFT/B3LYP/6-31G(d)). The antioxidant behavior of the hybrid compounds (I-VIII) was determined using the highest occupied molecular orbital (εHOMO) and the lowest unoccupied molecular orbital (εLUMO) energies, as well as the bond dissociation enthalpy (BDE), ionization potential (IP), and proton dissociation enthalpy (PDE) values, all calculated at the same level of structural optimization. TD-DFT study is carried out to calculate the excitation energy using the B3LYP functional with the 6-31G(d) basis set. The calculated transitions were convoluted with a Gaussian profile using the Gabedit program.


Subject(s)
Antioxidants , Computer-Aided Design , Drug Design , Resveratrol , Sunscreening Agents , Ultraviolet Rays , Sunscreening Agents/chemistry , Antioxidants/chemistry , Antioxidants/pharmacology , Resveratrol/chemistry , Propiophenones/chemistry , Density Functional Theory , Stilbenes/chemistry , Stilbenes/pharmacology , Models, Molecular , Quantum Theory , Molecular Structure
2.
Mol Pharmacol ; 103(5): 255-265, 2023 05.
Article in English | MEDLINE | ID: mdl-36732021

ABSTRACT

The aryl hydrocarbon receptor (AhR) is a ligand-activated transcription factor, expressed in several tissues and involved in the response to environmental stressors. Studies have already associated exposure to environmental factors, such as organic air pollutants, products of the skin microbiota, and solar radiation, with the development/worsening of skin conditions, mediated by AhR. On the other hand, recent studies have shown that synthetic and natural compounds are able to modulate the activation of some AhR signaling pathways, minimizing the harmful response of these environmental stressors in the skin. Thus, AhR constitutes a new therapeutic target for the prevention or treatment of skin conditions induced by the skin exposome. Herein, an overview of potential AhR ligands and their biologic effects in environmentally induced skin conditions are presented. The literature survey pointed out divergences in the mechanism of action from a therapeutic perspective. Although most studies point to the benefits of ligand downregulation of AhR signaling, counteracting the toxic effects of environmental factors on the skin, some studies suggest the AhR ligand activation as a therapeutical mechanism for some skin conditions. Furthermore, both agonist and antagonist profiles were identified in the AhR modulation by the synthetic and natural compounds raised. Despite that, this target is still little explored, and further studies are needed to elucidate the molecular mechanisms involved and identify new AhR ligands with therapeutic potential. SIGNIFICANCE STATEMENT: The aryl hydrocarbon receptor (AhR) is involved in different skin physiological and pathological processes, including toxic mechanisms of environmental factors. Synthetic and natural AhR ligands have demonstrated therapeutic potential for skin conditions induced by these agents. Thus, a comprehensive understanding of the skin toxicity mechanisms involving the AhR, as well as the use of AhR modulators from a therapeutic perspective, provides an alternative approach to the development of new treatments for skin disorders induced by the exposome.


Subject(s)
Receptors, Aryl Hydrocarbon , Skin , Receptors, Aryl Hydrocarbon/metabolism , Ligands , Gene Expression Regulation , Signal Transduction
3.
J Mol Model ; 26(1): 21, 2020 01 06.
Article in English | MEDLINE | ID: mdl-31907622

ABSTRACT

The original version of this article unfortunately contained mistakes. Table 1 was missing and the presentation of Table 2 was incorrect. In Table 2, the second [λexp (nm)] and last [MADa] columns, many values are wrongly in the same cell/line. For example, in column 2, line 2, the first number (342) should be above the other (318).

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