Molecular Calculations Research Articles

Stretching vibration driven adiabatic transfer kinetics for photoexcited hole transfer from semiconductor to adsorbate

Interfacial hole transfer from a photoexcited semiconductor to surface adsorbates is pivotal for initiating solar-to-chemical energy conversion, yet the atomic-level transfer kinetics remains elusive. Using the methoxy/TiO2(110) system as an archetype, here we elucidate the hole transfer mechanism from hole-trapping lattice oxygen to the methoxy adsorbate at gas/solid and liquid/solid interfaces through molecular dynamics simulations and static minimum energy path calculations. Instead of direct nonadiabatic hopping, we uncover an adiabatic migration pathway adapted to local substrate relaxation, driven by a bond-stretching mechanism supported by stronger Ti-O stretching vibrations. Notably, this mechanism persists at the aqueous methoxy/TiO2(110) interface, albeit hindered by interfacial water and coadsorbates. Surprisingly, the hole transfer barriers across various photoexcited adsorbate/TiO2 interfaces correlate more closely with the vertical excitation energies of the adsorbates rather than their redox potentials, indicating an early-type transition-state nature. These insights deepen our understanding of elementary hole transfer kinetics in surface photochemistry.

Gas-liquid interfacial reaction mechanisms of typical small α-dicarbonyls in the neutral and acidic droplets: Implications for secondary organic aerosol formation

Small α-dicarbonyls (SαDs) are well-known as the important precursors of secondary organic aerosol (SOA). Hence, it is imperative to understand the atmospheric chemistry of SαDs to contribute to SOA formation. In this work, we investigated the interfacial chemistry of typical SαDs, including methylglyoxal (MG) and biacetyl (BA) in the neutral and acidic droplets by combined molecular dynamics and quantum chemical calculations. The trans configurations of MG and BA are found to be the favorable configurations at the interfaces and are prone to stay at the gas-liquid interface of the acidic droplet. The C=O group exhibits a preferential uptake orientation towards the interface because the carbonyl-O atom has a strong interaction with interfacial H2O. The uptakes and accumulations of MG and BA at the interfaces are promoted by the acidic condition. Subsequent interfacial hydrations of MG and BA in the acidic droplet are beneficial to yield diols, which can engage in oligomerization in the droplet interior to contribute SOA formation. Our results provide the theoretical insight into the interfacial chemistry of SαDs and their role in SOA formation.

Long-term reliable wireless H2 gas sensor via repeatable thermal refreshing of palladium nanowire

The increasing significance of hydrogen (H2) gas as a clean energy source has prompted the development of high-performance H2 gas sensors. Palladium (Pd)-based sensors, with their advantages of selectivity, scalability, and cost-effectiveness, have shown promise in this regard. However, the long-term stability and reliability of Pd-based sensors remain a challenge. This study not only identifies the exact cause for performance degradation in palladium (Pd) nanowire H2 sensors, but also implements and optimizes a cost-effective recovery method. The results from density functional theory (DFT) calculations and material analysis confirm the presence of C = O bonds, indicating performance degradation due to carbon dioxide (CO2) accumulation on the Pd surface. Based on the molecular behavior calculation in high temperatures, we optimized the thermal treatment method of 200 °C for 10 minutes to remove the C = O contaminants, resulting in nearly 100% recovery of the sensor’s initial performance even after 2 months of contamination.

Proanthocyanidin Regulates NETosis and Inhibits the Growth and Proliferation of Liver Cancer Cells - In Vivo, In Vitro and In Silico Investigation.

Liver cancer ranks third in global cancer-related mortality, with about 700,000 deaths recorded yearly, making it one of the most common cancers worldwide. Even though prognoses differ according to the severity of the diseases, many patients now exhibit an increased life cycle since the implementation of chemotherapy. In the current study, we investigated the effect of proanthocyanidin ‒a polyphenol molecule found in many plants‒ on the proliferation and invasion of liver cancer cells. In particular, we determined the effect of proanthocyanidin on the serum levels of four strategic liver cancer target, TNFα, IL-6, cfDNA, and IL-1β. Further molecular insight on the inhibitory mechanism of proanthocyanidin against TNFα, IL-6, and IL-1β was obtained via molecular docking, molecular dynamics simulations and binding free energy calculations. Results showed that proanthocyanidin inhibited the growth of HepG2 and HEP3B cells, and effectively reduced clonogenic survival and invasion potential when compared to control cells. Proanthocyanidin was also found to suppress the expression of Bcl-2 (26 kDa) protein in HepG2 cells, while increasing the expression of Bax (21 kDa). Molecular dynamics (MD) and thermodynamic binding free energy calculations showed that proanthocyanidin maintained stable binding within the active site of target proteins across the entire 100 ns MD simulation period, and its binding affinity outscored respective control molecules.In conclusion, the multifaceted analysis showcased in this study demonstrated promising anti-cancer effect of proanthocyanidin on HepG2 and HEP3B cancer cells, highlighting its potential as a viable liver cancer therapeutic alternative.

Synthesis, spectral characterization and biological activities of o,o'-dihydroxyazo compounds containing gallic acid: Molecular docking and dynamics simulation and MM-PBSA studies

In the investigation, diazonium derivatives of 2-aminophenol, 2-amino-4-methylphenol, 2-amino-4-chlorophenol, and 2-amino-5-nitrophenol reacted with gallic acid to produce four distinct o,o'-dihydroxyazo compounds. Description of the o,o'-dihydroxyazo compounds that were produced identified the substituent spectrum data using UV–Vis, FT-IR, NMR spectroscopy and MS spectrometry methods. The UV–Vis behaviors of compounds in ethanol and DMSO were noted at various pH values. The antioxidant, antimicrobial, and urease inhibitory activities of the compounds were determined spectrophotometrically and compared to standard compounds. The DPPH˙ scavenging and metal chelating activities of compound 4b were 2.17 ± 0.04 and 11.62 ± 0.64 μg/mL, respectively. Compounds exhibited an effective antibacterial activity against B. cereus. The urease inhibition capacity of compound 4c (IC50: 4.79 ± 0.01 μg/mL) was more effective than thiourea (IC50: 20.04 ± 0.16 μg/mL). Moreover, molecular docking calculations were used to assess the urease inhibition potentials, inhibition kinetics, and interactions of the synthesized compounds with antimicrobial enzymes and urease. The compounds had substantial impacts on density functional theory (DFT), molecular electrostatic potential (MEP), inhibition kinetics, enzyme inhibition, and PASS prediction tests. For this reason, molecular dynamics simulation and MM-PBSA energy calculation were performed to assess the compounds' stability during urease binding.As a result, the effective pharmacological properties of the newly synthesized o,o'-dihydroxyazo compounds were revealed by different in vitro bioactivity tests and in silico calculations.

Making waves: Intelligent phage cocktail design, a pathway to precise microbial control in water systems

Current practices in water and wastewater treatment to control unwanted microbes have led to new problems, including health effects from disinfection byproducts, growth of opportunistic pathogens resistant to residual disinfectants (e.g., chlorine), and antibiotic resistance. These challenges are spurring interest in rethinking our practices of microbial control. Simultaneously, advances in molecular biology and computation power are driving renewed interest in using phages (viruses that infect bacteria) to precisely control microbial growth (aka, phage biocontrol). In this Making Waves article, I begin by reviewing the current state of research into phage cocktail design, emphasizing our limited understanding of the features of successful phage cocktails (combinations of multiple types of phages). I describe the state of modeling phage-bacteria interactions and underscore the need for increasing research efforts to predict phage cocktail success, a key gap slowing the application of phage biocontrol. I also detail how research must also focus on techniques for engineering more effective phages to offer a more rapid alternative to phage discovery from natural environments. In this way, phage cocktails comprised of phages with complementary infection strategies may be designed. The final area for increased research effort that I highlight is the need for phage cocktail design to account for possible unintended environmental effects, a risk that is increasingly acknowledged in phage ecology studies but mostly ignored by those developing phage biocontrol technologies. By focusing more research effort towards the areas necessary for intelligent phage cocktail design, we can accelerate the development of phage-based biocontrol in water systems and improve public health.

Switching from Molecules to Functional Materials: Breakthroughs in Photochromism With MOFs.

Photochromic materials with properties that can be dynamically tailored as a function of external stimuli are a rapidly expanding field driven by applications in areas ranging from molecular computing, nanotechnology, or photopharmacology to programable heterogeneous catalysis. Challenges arise, however, when translating the rapid, solution-like response of stimuli-responsive moieties to solid-state materials due to the intermolecular interactions imposed through close molecular packing in bulk solids. As a result, the integration of photochromic compounds into synthetically programable porous matrices, such as metal-organic frameworks (MOFs), has come to the forefront as an emerging strategy for photochromic material development. This review highlights how the core principles of reticular chemistry (on the example of MOFs) play a critical role in the photochromic material performance, surpassing the limitations previously observed in solution or solid state. The symbiotic relationship between photoresponsive compounds and porous frameworks with a focus on how reticular synthesis creates avenues toward tailorable photoisomerization kinetics, directional energy and charge transfer, switchable gas sorption, and synergistic chromophore communication is discussed. This review not only focuses on the recent cutting-edge advancements in photochromic material development, but also highlights novel, vital-to-pursue pathways for multifaceted functional materials in the realms of energy, technology, and biomedicine.

Novel Schiff Bases: Synthesis, Characterization, Bioactivity, Cytotoxicity, and Computational Evaluations

Hypopharyngeal cancer is rare subtype of head and neck cancers with relatively poor prognosis. Current therapeutic modalities lack the potential to provide patients with better clinical outcome and quality of life. This study was conducted on the synthesis of 2-methoxy-4-((3-alkyl(aryl)-5-oxo-1H-1,2,4-triazol-4(5H)-ylimino)-methyl)-phenyl-4-(2-methoxy-4-((3-alkyl(aryl)-5-oxo-1H-1,2,4-triazol-4(5H)-ylimino)-methyl)-phenyl)-4-oxobutanoates (3) using biologically important 1,2,4-triazole. The condensation of 3-alkyl(aryl)-4-amino-4,5-dihydro-1H-1,2,4-triazol-5-ones (1) with 4-formyl-2-methoxyphenyl-4-(4-formyl-2-methoxyphenyl)-4-oxobutanoate yielded the biologically active 2-methoxy-4-((3-alkyl(aryl)-5-oxo-1H-1,2,4-triazol-4(5H)-ylimino)-methyl)-phenyl-4-(2-methoxy-4-((3-alkyl(aryl)-5-oxo-1H-1,2,4-triazol-4(5H)-ylimino)-methyl)-phenyl)-4-oxobutanoates (3). The compounds obtained were analyzed via FT-IR,1H-/13C-NMR spectrometers, elemental analysis, and HRMS spectroscopic techniques. Furthermore, we aimed at investigating the potential of compounds 3a-g against FaDu hypopharyngeal cancer cells. We demonstrated that compounds 3c, 3e, and 3 g had relatively lower IC50 values compared to the remaining tested compounds and more importantly their IC50 values were comparable to 5-FU, which suggests them as important therapeutic agent candidates. These newly synthesized compounds were assessed for their inhibitory activities toward two human carbonic anhydrase isoforms I and II (hCA I and II). Then, molecular docking calculations were made to compare the biological activities of studied molecules against cancer proteins. Compound 3c has a docking score of −7.15 against squamous cell carcinoma protein with ID: 2DO4 and −5.49 docking score against squamous cell carcinoma protein with ID:5PJZ. ADME/T analysis was performed to examine the drug properties of studied molecules.

Exploring DNA Computers: Advances in Storage, Cryptography and Logic Circuits.

Over the last four decades, research on DNA as a functional material has primarily focused on its predictable conformation and programmable interaction. However, its low energy consumption, high responsiveness and sensitivity also make it ideal for designing specific signaling pathways, and enabling the development of molecular computers. This review mainly discusses recent advancements in the utilization of DNA nanotechnology for molecular computer, encompassing applications in storage, cryptography and logic circuits. It elucidates the challenges encountered in the application process and presents solutions exemplified by representative works. Lastly, it delineates the challenges and opportunities within this filed.

Atomistic simulations of polysaccharide materials for insights into their crystal structure, nanostructure, and dissolution mechanism

AbstractCrystalline polysaccharides are abundant in nature and can be transformed into highly functional materials. However, the molecular basis for the formation of higher-order structures remains unclear. Computer simulation is an advanced tool for modeling macromolecular structures, and the atomistic simulations provide valuable information on the crystalline polysaccharides. Fiber deformation, crystalline transition, and novel nanostructures of cellulose were characterized through molecular dynamics simulations and density functional theory calculations of models of molecular chain sheets extracted from the crystal structure of the cellulose polymorphs. Extended ensemble molecular dynamics simulations were applied to analyze the artificial crystal structure of non-natural amylose analog polysaccharides, revealing the hexagonal packing of double helices through the self-assembly of molecular chains dispersed in aqueous solution. Dissolution simulations of the cellulose and chitin crystalline fibers revealed that the anions of ionic liquids, with their solvation power, played a key role in the cleavage of intermolecular hydrogen bonds in the crystal structure, whereas the cations contributed to irreversible molecular chain dispersion. The good correlation between the actual solubility of polysaccharides and the predicted number of intermolecular hydrogen bonds prompted the development of a platform that combined simulations and machine learning for high-throughput screening of solvents for cellulose and chitin.

Effects of Ring Functionalization in Anthracene-Based Cyclophanes on the Binding Properties Toward Nucleotides and DNA.

Supramolecular recognition of nucleobases and short sequences is an emerging research field focusing on possible applications to treat many diseases. Controlling the affinity and selectivity of synthetic receptors to target desired nucleotides or short sequences is a highly challenging task. Herein, we elucidate the effect of substituents in the phenyl ring of the anthracene-benzene azacyclophane on the recognition of nucleoside triphosphates (NTPs) and double-stranded DNA. We show that introducing phenyl rings increases the affinity for NTPs 10-fold and implements groove and intercalation binding modes with double-stranded DNA. NMR studies and molecular modeling calculations support the ability of cyclophanes to encapsulate nucleobases as part of nucleotides.

CO oxidation on single Pt atom supported by two-dimensional ZnO monolayer: Reaction mechanism and precursor activation

CO oxidation is an effective solution for controlling CO emissions, and supported single-atom catalysts have shown excellent catalytic reactivity for chemical reactions. CO oxidation on a single Pt atom supported by a two-dimensional ZnO monolayer is investigated by combing ab initio molecular dynamics and density functional theory calculations. Seven reaction mechanisms are identified, including two new trimolecular Elie-Riedel mechanisms; six of them, except for the Mars-van Krevelen mechanism, have rate-limiting step energy barriers between 0.31 and 0.47 eV, which is lower than the experimental activation barrier of 0.81 eV on single Pt atoms supported by bulk ZnO, and is much lower than that of about 1.0 eV on Pt(111) surface. Furthermore, two preferred reaction mechanisms are discovered, an Eley-Rideal mechanism and a trimolecular Eley-Rideal mechanism, both of which have rate-limiting step energy barriers as low as 0.31 eV. Our results show that the more antibonding orbitals are filled in the reaction precursor, the higher its activation level. Activation of precursors plays an important role in CO oxidation and leads to different mechanisms. These results provide insights into the design of efficient single-atom catalysts supported by two-dimensional materials for the removal of CO pollutants.

Application of machine learning based genome sequence analysis in pathogen identification.

Infectious diseases caused by pathogenic microorganisms pose a serious threat to human health. Despite advances in molecular biology, genetics, computation, and medicinal chemistry, infectious diseases remain a significant public health concern. Addressing the challenges posed by pathogen outbreaks, pandemics, and antimicrobial resistance requires concerted interdisciplinary efforts. With the development of computer technology and the continuous exploration of artificial intelligence(AI)applications in the biomedical field, the automatic morphological recognition and image processing of microbial images under microscopes have advanced rapidly. The research team of Institute of Microbiology, Chinese Academy of Sciences has developed a single cell microbial identification technology combining Raman spectroscopy and artificial intelligence. Through laser Raman acquisition system and convolutional neural network analysis, the average accuracy rate of 95.64% has been achieved, and the identification can be completed in only 5 min. These technologies have shown substantial advantages in the visible morphological detection of pathogenic microorganisms, expanding anti-infective drug discovery, enhancing our understanding of infection biology, and accelerating the development of diagnostics. In this review, we discuss the application of AI-based machine learning in image analysis, genome sequencing data analysis, and natural language processing (NLP) for pathogen identification, highlighting the significant role of artificial intelligence in pathogen diagnosis. AI can improve the accuracy and efficiency of diagnosis, promote early detection and personalized treatment, and enhance public health safety.

Effect of conformational landscape on the polymorphism and monomorphism of tizanidine cocrystallization outcomes

Molecular conformational diversity plays a crucial role in both polymorphic nucleation and cocrystal formation during the cocrystallization process. However, the relationship between molecular conformation and cocrystallization polymorphism is not well-explored. Herein, the impact of molecular conformational landscapes on cocrystallization outcomes was investigated using tizanidine (TZND) as model compound. Four coformers, namely maleic acid (MA), salicylic acid (SA), p-hydroxybenzoic acid (pHBA), and heptanedioic acid (HDA), were employed and five salt forms were developed for the first time. Compared with TZND, all five salts showed significantly improved water solubility and dissolution rate. The cocrystallization behavior of TZND varied with each coformer: MA exhibited solvent-dependent polymorphism, while SA, pHBA, and HDA showed solvent-independent monomorphism. Crystal structure and conformational analyses revealed the conformational variation of TZND across different cocrystallization outcomes. Molecular dynamics simulations and quantum chemical calculations demonstrated that the interplay between solvent effects and coformer interactions determines the dominant conformations of TZND. The cocrystallization nucleation process was also examined, and the molecular mechanism that explains both polymorphism and monomorphism in the cocrystallization of TZND was proposed.

Alpha-Glucosidase Inhibitory Effects of Flavonoids, Phenolic Acids and Iridoids Isolated From Vinca Soneri: In Vitro and In Silico Perspectives.

Various Vinca species have been traditionally used for their antihypertensive, sedative, and hemostatic properties, as well as for treating diabetes. In this study, some flavonoids, phenolic acids and iridoids were isolated from an endemic Vinca species, Vinca soneri for the first time. α-Glucosidase inhibitory effects of the isolates were tested and kaempferol-3-O-α-rhamnopyranosyl (1→6) β-galactopyranoside (1) was found to be the most active one with an IC50 value of 285.73 ±7.35 μM. Enzyme kinetic assay revealed that it inhibited α-glucosidase in competitive manner. Molecular geometry of 1 was predicted and Frontier molecular orbital analysis was performed using Density Functional Theory (DFT) calculations. Molecular docking and MM-GBSA calculations predicted good fit for 1 in the enzyme active site and key interactions with the catalytic residues. As a result, current study identifies 1 as a promising competitive α-glucosidase inhibitor to be developed as a potential antidiabetic drug candidate.

Investigation of cytotoxic indoleninyl-thiobarbiturate zwitterions as DNA targeting agents

A series of indoleninyl-thiobarbiturate zwitterions were synthesized in up to 83 % yields from the Knoevenagel condensation between N-substituted diformyl indolenine and thiobarbiturate. The structures were characterized by spectroscopic methods such as NMR (1H, 13C), FT-IR, high-resolution mass spectrometry (HR-MS) and elemental analysis. However, their physicochemical properties and biological activities remain elusive. Herein, results from in silico ADMET calculations and cytotoxicity predictions suggest that all zwitterions are likely to exhibit a higher bioavailability and more specific cytotoxicity than doxorubicin. The notably high predicted cytotoxicity of 2d and drug-likeness score of 2f may be linked to the position of the fused benzene ring and methoxy groups, respectively. The initial biological assessment of these compounds began with in vitro DNA-binding studies because the treatment of numerous diseases such as cancer and bacterial infections is linked to DNA interactions. Zwitterion 2f demonstrated the most significant spectral change in DNA binding studies, suggesting a possible role of the methoxy group in inducing DNA binding activity. The hypothesis that 2f interacts with DNA through groove binding was confirmed by observations made during salt-back titration and DNA denaturation experiments. It was anticipated that the non-zwitterionic 2f would interact more stably with DNA (PDB code: 453D) at the minor groove than its zwitterionic form based on molecular docking calculations and molecular dynamic (MD) simulations. Additionally, the MTT assay demonstrates that 2f is moderately cytotoxic to the human breast cancer cell line MDA-MD-231, most probably as a result of the previously stated DNA binding mechanisms. Overall, the computational and in vitro data suggest the potential application of 2f as a cytotoxic DNA-targeting agent.

Fluorenyl-corroles: Characterization, photophysical, photobiological, and DNA/BSA-binding properties of novel examples

In this study, it was evaluated the photophysical, electrochemical, photobiological, and DNA/BSA-binding properties of fluorenyl corrole derivatives H3MFluCor and H3TFluCor. Absorption and emission analyses were corroborated by theoretical calculations performed using time-dependent density functional theory, which revealed natural transition orbitals densities concentrated around the tetrapyrrolic macrocycle in all cases. The experimental studies indicated that the corroles H3MFluCor and H3TFluCor are stable in solution and exhibited photostability primarily in DMSO(5%)/Tris-HCl (pH 7.4) buffer. The generation of reactive oxygen species (ROS) and log POW values highlight their potential application in photobiological methods, as these corroles effectively generate ROS with more lipophilic characteristics. Furthermore, their binding capacity towards double-stranded DNA and bovine serum albumin (BSA) was also evaluated by spectroscopic techniques and molecular docking calculations. The interactive profile with biomolecules indicates that the corrole derivatives H3MFluCor and H3TFluCor tend to binding into the minor grooves of DNA through secondary forces, which are particularly pronounced at site III of the BSA, likely due to the static interactions.

Exploring the antiviral activities of the FDA-approved drug sulfadoxine and its derivatives against Chikungunya virus.

Currently, there is no antiviral licensed to treat chikungunya fever, a disease caused by the infection with Alphavirus chikungunya (CHIKV). Treatment is based on analgesic and anti-inflammatory drugs to relieve symptoms. Our study aimed to evaluate the antiviral activity of sulfadoxine (SFX), an FDA-approved drug, and its derivatives complexed with silver(I) (AgSFX), salicylaldehyde Schiff base (SFX-SL), and with both Ag and SL (AgSFX-SL) against CHIKV. The anti-CHIKV activity of SFX and its derivatives was investigated using BHK-21 cells infected with CHIKV-nanoluc, a marker virus-carrying nanoluciferase reporter. Dose-response and time of drug-addition assays were performed in order to assess the antiviral effects of the compounds, as well as in silico data and ATR-FTIR analysis for insights on their mechanisms of action. The SFX inhibited 34% of CHIKV replication, while AgSFX, SFX-SL, and AgSFX-SL enhanced anti-CHIKV activity to 84%, 89%, and 95%, respectively. AgSFX, SFX-SL, and AgSFX-SL significantly decreased viral entry and post-entry to host cells, and the latter also protected cells against infection. Additionally, molecular docking calculations and ATR-FTIR analysis demonstrated interactions of SFX-SL, AgSFX, and AgSFX-SL with CHIKV. Collectively, our findings suggest that the addition of metal ions and/or Schiff base to SFX improved its antiviral activity against CHIKV.

Theoretical and experimental studies on the electrochemical behavior of steel in HCl solution in the presence of two bio-inhibitor mixtures

In this new study, the inhibitory effectiveness of two bio-inhibitor mixtures has been studied on the corrosion characteristics of carbon steel in an HCl environment. The inhibitors were derived from a plant seed (quinoa seed-QS) and an insect extract (Oestrus ovis larvae-OOL). The total inhibitor concentration was a variable factor even the ratio of bio-inhibitor concentration was a fixed parameter. The electrochemical behavior of steel substrate was investigated through the Tafel polarization and electrochemical impedance spectroscopy measurements. Fourier transform infrared spectroscopy and field emission scanning electron microscopy were performed to identify bonds and analyze the morphology of the corroded surface of the steel. Additionally, molecular dynamics (MD) simulation and quantum calculations were applied to investigate the inhibitory influence of utilized bio-inhibitors. The experimental results indicated that the corrosion resistance decreased to 85 % when the optimum total concentration of the bio-inhibitor was 1 g L−1. The Langmuir model was used to illustrate the adsorption mechanism on the steel surface when physical adsorption occurred. Quantum chemical calculations revealed that the QS-inhibitor adsorbed more effectively onto the metal surface than the OOLE-inhibitor, due in part to a lower energy gap and higher HOMO energy. MD simulation and Monte Carlo calculations further confirmed that the QS-inhibitor was adsorbed on the Fe (110) surface with higher adsorption energy than the OOLE-inhibitor.

Rational analysis of hydrogen bonding interaction in phenazine, 2-hydroxynaphthalene (1:1) cocrystal: from molecular modeling to photophysical properties.

Organic cocrystals have a wide range of applications in the field of optics due to their photo responsive property. We present here a newly synthesized phenazine 2-hydroxynaphthalene (1:1) cocrystal, its structural and theoretical calculations which tend to the nonlinear optical property. In the crystal structure of the title cocrystal, the phenazine and 2-hydroxynaphthalene molecules from one- and two-dimensional supramolecular frameworks via O‒H…N hydrogen bonds and C‒H…N, C‒H…π interaction, respectively. The phenazine molecules from an infinite off-set stacking through π…π interactionin the three-dimensional molecular packing of the title cocrystal. The contribution of intermolecular interaction in the three-dimensional molecular packing and the interaction energy calculation is studied by the Hirshfeld surface analysis. The molecular geometry retrieved from the experimental X-ray diffraction analysis is in good agreement with the theoretically calculated parameters. Further, the molecular electrostatic potential (MEP) and frontier molecular orbital (FMO) analysis have been carried out to study the charge distribution and molecular reactive mechanism. Third-order nonlinear optical property of the cocrystals has been analyzed by Z-scan measurements. The determined nonlinear optical absorption coefficient value 6.442 × 10-05 (m/W) and the nonlinear refractive index value - 5.535 × 10-2 (m/W) suggest that the crystalline solid can be a good choice of potential nonlinear optical material. The crystal structures of phenazine 2-hydroxynaphthalene cocrystal was solved by direct methods procedure using SHELXS program and refined by full-matrix least square procedure on F2 using SHELXL-2018 program on Olex2 software. The computational calculation has been carried out using DFT/B3LYP quantum chemical function with triple zeta 6-311 + + basis set in the ground state molecular stability using Gaussian 09W program suite. The Hirshfeld surface analysis mapping, associated 2D fingerprint plot, and intermolecular molecular interaction energy calculations were carried out using CrystalExplorer (version 21.5) software.