Pub Date : 2025-12-04DOI: 10.1007/s00894-025-06585-4
Tyler Locke, Amanda Ferrante, Deng Li, Michael N. Weaver, Mona S. Minkara
Context
Surfactant protein B (SP-B) is a critically important component of pulmonary surfactant (PS), responsible for much of the lipid restructuring activity necessary to maintain proper respiratory function. Despite its functional and biological importance, there is a significant lack of knowledge regarding the structural characteristics of SP-B, exacerbated by a lack of a complete, experimentally determined structure. Comparative modeling with homologous saposin-family proteins was used to generate predicted structures for SP-B in both an open (hydrophobic residues exposed) and closed (hydrophobic residues buried) conformation. These structures were then used for further study with molecular dynamics. Five replicate simulation systems were prepared for both conformations in different solvent conditions, including water and chloroform, a hydrophobic solvent. These simulations indicate the relative stability of the closed conformation protein in water, with the open conformation structure undergoing a large conformational change due to hydrophobic forces in water quantified by relevant intramolecular distances. Solvent distribution analysis elucidated the varying affinity of different regions of the protein to hydrophobic and hydrophilic environments, providing insight into the structural–functional characteristics of SP-B in the varied PS environment.
Methods
For each system, a minimum of 900 ns production time per simulation was collected in 5 replicate simulations. Production time was measured after the system RMSD reached a steady state. All simulations used the FF19SB force field and OPC water model when applicable. Overall RMSD, per-residue RMSF, specific geometric parameters, and solvent distribution information were collected over the course of the simulations and analyzed.
{"title":"Conformational changes of surfactant protein B due to the alveolar air/liquid interface using molecular dynamics","authors":"Tyler Locke, Amanda Ferrante, Deng Li, Michael N. Weaver, Mona S. Minkara","doi":"10.1007/s00894-025-06585-4","DOIUrl":"10.1007/s00894-025-06585-4","url":null,"abstract":"<div><h3>Context</h3><p>Surfactant protein B (SP-B) is a critically important component of pulmonary surfactant (PS), responsible for much of the lipid restructuring activity necessary to maintain proper respiratory function. Despite its functional and biological importance, there is a significant lack of knowledge regarding the structural characteristics of SP-B, exacerbated by a lack of a complete, experimentally determined structure. Comparative modeling with homologous saposin-family proteins was used to generate predicted structures for SP-B in both an open (hydrophobic residues exposed) and closed (hydrophobic residues buried) conformation. These structures were then used for further study with molecular dynamics. Five replicate simulation systems were prepared for both conformations in different solvent conditions, including water and chloroform, a hydrophobic solvent. These simulations indicate the relative stability of the closed conformation protein in water, with the open conformation structure undergoing a large conformational change due to hydrophobic forces in water quantified by relevant intramolecular distances. Solvent distribution analysis elucidated the varying affinity of different regions of the protein to hydrophobic and hydrophilic environments, providing insight into the structural–functional characteristics of SP-B in the varied PS environment.</p><h3>Methods</h3><p>For each system, a minimum of 900 ns production time per simulation was collected in 5 replicate simulations. Production time was measured after the system RMSD reached a steady state. All simulations used the FF19SB force field and OPC water model when applicable. Overall RMSD, per-residue RMSF, specific geometric parameters, and solvent distribution information were collected over the course of the simulations and analyzed.</p></div>","PeriodicalId":651,"journal":{"name":"Journal of Molecular Modeling","volume":"32 1","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00894-025-06585-4.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145666694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-03DOI: 10.1007/s00894-025-06595-2
Nicolás Amigo
Context
Metallic glasses (MGs) are amorphous alloys with high strength, elasticity, and corrosion resistance, making them attractive for diverse engineering applications. Unlike crystalline metals, their deformation is controlled by shear transformation zones, which are strongly influenced by short-range order (SRO) and medium-range order (MRO). Parameters such as potential energy, atomic volume, and five-fold symmetry have been linked to stability and plasticity, yet quantitatively connecting these atomic-scale features to macroscopic properties under varying conditions remains challenging. To address this, V-Al MGs were selected as a model system, given their potential for hydrogen storage and the ability to tune free volume through composition.
Methods
Molecular dynamics simulations were performed on V(_{80})Al(_{20}) and V(_{50})Al(_{50}) MGs to investigate structural and mechanical behavior. Potential energy, atomic volume, and five-fold symmetry, among others, were evaluated across SRO and MRO, while thermal effects were examined through atomic mobility and free volume. Tensile tests under uniaxial loading assessed stiffness, strength, and ductility. Results showed that the equiatomic alloy had higher potential energy, larger atomic volume, and reduced five-fold order, leading to lower strength but greater ductility. Temperature further decreased mechanical performance, with flow stress reductions up to 50%. Analytical models captured these trends, demonstrating compositional and thermal effects on structure–property relationships.
金属玻璃(mg)是一种非晶合金,具有高强度,弹性和耐腐蚀性,使其在各种工程应用中具有吸引力。与结晶金属不同,它们的变形受剪切转变带控制,剪切转变带受短程有序(SRO)和中程有序(MRO)的强烈影响。势能、原子体积和五重对称等参数与稳定性和可塑性有关,但在不同条件下,将这些原子尺度的特征与宏观性质定量联系起来仍然具有挑战性。为了解决这个问题,V-Al mg被选为模型系统,因为它们具有储氢的潜力,并且能够通过组成来调节自由体积。方法对V (_{80}) Al (_{20})和V (_{50}) Al (_{50}) mg进行分子动力学模拟,研究其结构和力学行为。势能、原子体积和五重对称等,通过SRO和MRO进行了评估,而热效应通过原子迁移率和自由体积进行了检查。单轴载荷下的拉伸试验评估了刚度、强度和延性。结果表明,该等原子合金具有更高的势能、更大的原子体积和降低5倍的阶数,从而降低了合金的强度,提高了合金的塑性。温度进一步降低了机械性能,流动应力降低了50%%. Analytical models captured these trends, demonstrating compositional and thermal effects on structure–property relationships.
{"title":"Temperature and composition effects on the structure and mechanical behavior of V-Al metallic glasses","authors":"Nicolás Amigo","doi":"10.1007/s00894-025-06595-2","DOIUrl":"10.1007/s00894-025-06595-2","url":null,"abstract":"<div><h3>Context</h3><p>Metallic glasses (MGs) are amorphous alloys with high strength, elasticity, and corrosion resistance, making them attractive for diverse engineering applications. Unlike crystalline metals, their deformation is controlled by shear transformation zones, which are strongly influenced by short-range order (SRO) and medium-range order (MRO). Parameters such as potential energy, atomic volume, and five-fold symmetry have been linked to stability and plasticity, yet quantitatively connecting these atomic-scale features to macroscopic properties under varying conditions remains challenging. To address this, V-Al MGs were selected as a model system, given their potential for hydrogen storage and the ability to tune free volume through composition.</p><h3>Methods</h3><p>Molecular dynamics simulations were performed on V<span>(_{80})</span>Al<span>(_{20})</span> and V<span>(_{50})</span>Al<span>(_{50})</span> MGs to investigate structural and mechanical behavior. Potential energy, atomic volume, and five-fold symmetry, among others, were evaluated across SRO and MRO, while thermal effects were examined through atomic mobility and free volume. Tensile tests under uniaxial loading assessed stiffness, strength, and ductility. Results showed that the equiatomic alloy had higher potential energy, larger atomic volume, and reduced five-fold order, leading to lower strength but greater ductility. Temperature further decreased mechanical performance, with flow stress reductions up to 50%. Analytical models captured these trends, demonstrating compositional and thermal effects on structure–property relationships.</p></div>","PeriodicalId":651,"journal":{"name":"Journal of Molecular Modeling","volume":"32 1","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145659360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-03DOI: 10.1007/s00894-025-06582-7
Tirth Raj Paneru, Poonam Tandon, Bhawani Datt Joshi
Context
Cocrystal screening is an important stage in pharmaceutical research for improving the physical characteristics of active pharmaceutical ingredient (API). This work offers the selection of potential conformers by computational tools rather than expensive experimental methods. The cocrystal screening results provide the vital information about the stability of the interaction between coformer and API. In this study, the screening of cocrystals of APIs riparin (I-III) has been performed with the six coformers that contain a carboxylic group, such as maleic acid, malonic acid, oxalic acid, salicylic acid, benzoic acid and succinic acid. The pairing energy for the intermolecular hydrogen bonding interaction O–H…O is found to be significant as compared to the N–H…O interaction from the electrostatic potential surface analysis. As recommended by the ESP analysis, the cocrystal of riparins (I–III) is created with the selected coformers via intermolecular hydrogen bonding O–H…O. The interaction energy is derived from the ground state energy of the optimized geometry, and the strength of the hydrogen bond interaction is also evaluated. The riparin (I-III) maleic acid cocrystals have higher interaction energy and exhibit the strongest hydrogen bond as compared to other cocrystals. The riparin III-maleic acid cocrystal shows enhanced chemical reactivity due to the lowest energy gap of the frontier molecular orbitals.
Method
The coformers, active pharmaceutical ingredients (APIs), and cocrystals were optimized by employing density functional theory in the Gaussian 16 software package. We have utilized the B3LYP exchange and correlation functional along with the 6–311 + + G(d,p) basis set. The interaction's pairing energy was evaluated by taking the product of the hydrogen bond donor (({alpha }_{max})) and acceptor (({beta }_{max})) parameters associated with the global maximum and minimum electrostatic potential, which were mapped onto the molecular surface. This data was obtained from the Multiwfn 8.0 and VMD 1.9.1 software packages. The interaction energy in the cocrystal formation was obtained by subtracting the ground state energy of the conformer and API from that of the cocrystal. The strength of intermolecular hydrogen bonding and the stabilization energy associated with cocrystal formation were assessed using the quantum theory of atoms in molecules (QTAIM) and natural bond orbital (NBO) analysis. GaussView 06 software was utilized to visualize the optimized structures and frontier molecular orbitals.
{"title":"Hydrogen bond strength for riparins (I-III) cocrystals with carboxylic acid group coformers: ESP, QTAIM, and NBO analytical screening","authors":"Tirth Raj Paneru, Poonam Tandon, Bhawani Datt Joshi","doi":"10.1007/s00894-025-06582-7","DOIUrl":"10.1007/s00894-025-06582-7","url":null,"abstract":"<div><h3>Context</h3><p>Cocrystal screening is an important stage in pharmaceutical research for improving the physical characteristics of active pharmaceutical ingredient (API). This work offers the selection of potential conformers by computational tools rather than expensive experimental methods. The cocrystal screening results provide the vital information about the stability of the interaction between coformer and API. In this study, the screening of cocrystals of APIs riparin (I-III) has been performed with the six coformers that contain a carboxylic group, such as maleic acid, malonic acid, oxalic acid, salicylic acid, benzoic acid and succinic acid. The pairing energy for the intermolecular hydrogen bonding interaction O–H…O is found to be significant as compared to the N–H…O interaction from the electrostatic potential surface analysis. As recommended by the ESP analysis, the cocrystal of riparins (I–III) is created with the selected coformers via intermolecular hydrogen bonding O–H…O. The interaction energy is derived from the ground state energy of the optimized geometry, and the strength of the hydrogen bond interaction is also evaluated. The riparin (I-III) maleic acid cocrystals have higher interaction energy and exhibit the strongest hydrogen bond as compared to other cocrystals. The riparin III-maleic acid cocrystal shows enhanced chemical reactivity due to the lowest energy gap of the frontier molecular orbitals.</p><h3>Method</h3><p>The coformers, active pharmaceutical ingredients (APIs), and cocrystals were optimized by employing density functional theory in the Gaussian 16 software package. We have utilized the B3LYP exchange and correlation functional along with the 6–311 + + G(d,p) basis set. The interaction's pairing energy was evaluated by taking the product of the hydrogen bond donor (<span>({alpha }_{max})</span>) and acceptor (<span>({beta }_{max})</span>) parameters associated with the global maximum and minimum electrostatic potential, which were mapped onto the molecular surface. This data was obtained from the Multiwfn 8.0 and VMD 1.9.1 software packages. The interaction energy in the cocrystal formation was obtained by subtracting the ground state energy of the conformer and API from that of the cocrystal. The strength of intermolecular hydrogen bonding and the stabilization energy associated with cocrystal formation were assessed using the quantum theory of atoms in molecules (QTAIM) and natural bond orbital (NBO) analysis. GaussView 06 software was utilized to visualize the optimized structures and frontier molecular orbitals.</p></div>","PeriodicalId":651,"journal":{"name":"Journal of Molecular Modeling","volume":"32 1","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145659361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-03DOI: 10.1007/s00894-025-06538-x
Raúl Flores, Luis Soriano-Agueda, Marco Franco-Pérez, Rodolfo Gómez-Balderas
Context
Copper is an essential trace element that plays a central role in redox chemistry and electron transfer processes in biological systems. To gain a deeper understanding of the electronic behavior of copper species, we carried out a comparative evaluation of the Cu2 and CuO molecules, focusing on key properties such as ionization energy, electron affinity, vibrational frequencies, bond lengths, and dissociation energies. Cu2 serves as a model for dinuclear copper sites present in metalloproteins like tyrosinase and hemocyanin, while CuO captures the essential features of copper-oxygen bonding relevant to copper-dependent oxidases and oxygen-activating enzymes. By systematically benchmarking density functional approximations (DFAs) against high-level CCSD(T) reference calculations or experimental data, we identify the methodologies that best reproduce the electronic and structural properties of these prototypical copper systems. The functional PBE, in particular, demonstrates the most consistent performance across both species. Insights obtained from Cu2 and CuO serve as a foundation for understanding more complex copper coordination environments. In this context, we extend our analysis to the Cu(II)/indomethacin complex, illustrating how the lessons learned from the fundamental systems can be applied to biologically relevant copper-ligand interactions. Overall, this study provides a systematic assessment of the accuracy of different DFAs for describing copper-containing species, establishing a solid framework for future investigations of bioinorganic copper chemistry and copper-based drug candidates.
Methods
This study employed density functional theory (DFT) alongside thermodynamic cycles to assess the stability of Cu(Indo)₂ and Cu₂(Indo)₄ complexes in ethanol solution. To select suitable computational methods, a benchmark was conducted using Cu(II)/acetate complexes as reference systems. A total of fifteen DFT functionals—BPW91, PBE, B97D, revTPSS, M06-L, M11-L, B3LYP, BHandHLYP, PBE0, ωB97XD, APDF, M06, M06-2X, M06-HF, and TPSSh—were tested in combination with four basis sets: Def2-SVP, Def2-TZVP, 6–31 + G(d,p), and 6–311 + G(d,p). The most reliable functional-basis set combinations were then applied to the copper-indomethacin complexes. In addition, electronic and structural properties of Cu₂ and CuO—such as ionization potentials, electron affinities, vibrational frequencies, equilibrium bond lengths, and spin or magnetic coupling constants—were calculated. Computational results were validated through comparison with available experimental data.
{"title":"Benchmarking CuₙO (n = 1, 2) complexes via ab initio methods: structural, electronic, and thermodynamic insights with biochemical relevance","authors":"Raúl Flores, Luis Soriano-Agueda, Marco Franco-Pérez, Rodolfo Gómez-Balderas","doi":"10.1007/s00894-025-06538-x","DOIUrl":"10.1007/s00894-025-06538-x","url":null,"abstract":"<div><h3>Context</h3><p>Copper is an essential trace element that plays a central role in redox chemistry and electron transfer processes in biological systems. To gain a deeper understanding of the electronic behavior of copper species, we carried out a comparative evaluation of the Cu<sub>2</sub> and CuO molecules, focusing on key properties such as ionization energy, electron affinity, vibrational frequencies, bond lengths, and dissociation energies. Cu<sub>2</sub> serves as a model for dinuclear copper sites present in metalloproteins like tyrosinase and hemocyanin, while CuO captures the essential features of copper-oxygen bonding relevant to copper-dependent oxidases and oxygen-activating enzymes. By systematically benchmarking density functional approximations (DFAs) against high-level CCSD(T) reference calculations or experimental data, we identify the methodologies that best reproduce the electronic and structural properties of these prototypical copper systems. The functional PBE, in particular, demonstrates the most consistent performance across both species. Insights obtained from Cu<sub>2</sub> and CuO serve as a foundation for understanding more complex copper coordination environments. In this context, we extend our analysis to the Cu(II)/indomethacin complex, illustrating how the lessons learned from the fundamental systems can be applied to biologically relevant copper-ligand interactions. Overall, this study provides a systematic assessment of the accuracy of different DFAs for describing copper-containing species, establishing a solid framework for future investigations of bioinorganic copper chemistry and copper-based drug candidates.</p><h3>Methods</h3><p>This study employed density functional theory (DFT) alongside thermodynamic cycles to assess the stability of Cu(Indo)₂ and Cu₂(Indo)₄ complexes in ethanol solution. To select suitable computational methods, a benchmark was conducted using Cu(II)/acetate complexes as reference systems. A total of fifteen DFT functionals—BPW91, PBE, B97D, revTPSS, M06-L, M11-L, B3LYP, BHandHLYP, PBE0, ωB97XD, APDF, M06, M06-2X, M06-HF, and TPSSh—were tested in combination with four basis sets: Def2-SVP, Def2-TZVP, 6–31 + G(d,p), and 6–311 + G(d,p). The most reliable functional-basis set combinations were then applied to the copper-indomethacin complexes. In addition, electronic and structural properties of Cu₂ and CuO—such as ionization potentials, electron affinities, vibrational frequencies, equilibrium bond lengths, and spin or magnetic coupling constants—were calculated. Computational results were validated through comparison with available experimental data.</p></div>","PeriodicalId":651,"journal":{"name":"Journal of Molecular Modeling","volume":"32 1","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00894-025-06538-x.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145659359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The main protease (Mpro) of SARS-CoV-2 is highly conserved with low variability. It plays a key role in viral replication, making it a target for COVID-19 treatment. Currently, drugs like Paxlovid have significant side effects and high costs, so new alternatives are urgently needed.
Methods
In this work, a medicine and food homology herbal drugs (MF-HHD) database is constructed, followed by a multi-scale and high-precision screening with various virtual screening techniques (ligand-based pharmacophore screening, Vina-based screening, and drug-forming, prescription-based screening). Quercetin was identified as a potent Mpro inhibitor through multi-stage virtual screening. Molecular dynamics simulations (500 ns) revealed its binding mechanism and stabilization effects on Mpro. The results revealed that upon binding, the inhibitor interacted with H41, H164, M165, L167, P168, D187, R188, Q189, and Q192 and altered the hydrogen bonding network between Mpro and the solvent allowing the inhibitor to bind the active pocket. Free energy landscape (FEL) and conformational clustering analysis showed that Mpro undergoes significant conformational changes when bound to quercetin. In this way, a complete drug screening chain will be used to search for potential Mpro inhibitors and obtain computationally validated candidate that can for experimental evaluation COVID-19.
{"title":"Feasibility of the inhibitor development for SARS-CoV-2: a systematic approach for drug design","authors":"Guangzhou Sun, Quanshan Shi, Yuting Song, Dazhi Cheng, Yu Jiang, Dongling Hu, Xinru Yue, Wentong Yu, Xiaodong Shi, Jianping Hu","doi":"10.1007/s00894-025-06541-2","DOIUrl":"10.1007/s00894-025-06541-2","url":null,"abstract":"<div><h3>Context</h3><p>The main protease (M<sup>pro</sup>) of SARS-CoV-2 is highly conserved with low variability. It plays a key role in viral replication, making it a target for COVID-19 treatment. Currently, drugs like Paxlovid have significant side effects and high costs, so new alternatives are urgently needed.</p><h3>Methods</h3><p>In this work, a medicine and food homology herbal drugs (MF-HHD) database is constructed, followed by a multi-scale and high-precision screening with various virtual screening techniques (ligand-based pharmacophore screening, Vina-based screening, and drug-forming, prescription-based screening). Quercetin was identified as a potent M<sup>pro</sup> inhibitor through multi-stage virtual screening. Molecular dynamics simulations (500 ns) revealed its binding mechanism and stabilization effects on M<sup>pro</sup>. The results revealed that upon binding, the inhibitor interacted with H41, H164, M165, L167, P168, D187, R188, Q189, and Q192 and altered the hydrogen bonding network between M<sup>pro</sup> and the solvent allowing the inhibitor to bind the active pocket. Free energy landscape (FEL) and conformational clustering analysis showed that M<sup>pro</sup> undergoes significant conformational changes when bound to quercetin. In this way, a complete drug screening chain will be used to search for potential M<sup>pro</sup> inhibitors and obtain computationally validated candidate that can for experimental evaluation COVID-19.</p></div>","PeriodicalId":651,"journal":{"name":"Journal of Molecular Modeling","volume":"31 12","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145613021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Two allomorphic crystals, photochromic N-salicylidene-4-bromoaniline (α-SA4B) and non-photochromic N-salicylidene-4-chloroaniline (β-SA4C), were simulated using a hierarchical hybrid quantum mechanical (QM/QM′) method. Despite the similar potential energy surface (PES) profiles observed in their isolated forms, distinct differences emerged in the cluster model simulations of α-SA4B and β-SA4C. This observation suggests that the molecular environment influenced the torsional energy landscape associated with their chromic properties.
Method
Each crystal was represented by a cluster model consisting of a central molecule and 14 peripheral molecules arranged based on crystallographic symmetry. The central molecule was treated as the high-level QM layer, while the surrounding molecules were kept fixed as the low-level QM′ layer. Following iterative optimization of the cluster model, the PES was calculated to track the cis-trans isomerization process of the central molecule. The iterative optimization was conducted with ONIOM (B3LYP/6-311G**: HF-D3BJ/6-31G*), and the PES was calculated with the same level. For each cluster model, the excited state was calculated with the TD-DFT method. All the quantum chemical calculations were performed using Gaussian 16 software.