Observations into quantum simulation, spectroscopy, electronic properties, pharmacokinetics and molecular docking analysis of lawsone against breast cancer

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Combining FDA‐approved medications may increase biological activity by simultaneously targeting many protein mechanisms while being less toxic. Gemcitabine and docetaxel together might have a synergistic impact that kills cancer cells and makes them more effective against breast cancer. This study used the foundation set B3LYP/6–311 G to optimize the gemcitabine with the docetaxel structure that was created. Theoretical calculations were made for the ultraviolet to visible spectrum were studied in gas and liquid phase. The structural stability and reactivity of the combined structure were studied using the energy gap between HOMO and LUMO, and the computed energy gap (ΔE) was 4.219 eV. The electrostatic potential of complex structure was determined and the Mulliken charge population was evaluated. Through RDG analysis weak interactions of GEDT was evaluated and topology properties were studied through ELF and LOL analysis. Breast cancer target proteins were utilized in the molecular docking studies. The docking scores revealed a greater binding affinity for the complex molecule, confirming a superior combinatorial interaction between gemcitabine and docetaxel. Highest binding ability of the GEDT was against Caspase‐6 and the network analysis of Caspase‐6 was assessed through graph theory model. The stability of GEDT with Caspase‐6 was studied through molecular dynamic simulation for 100 ns. The adsorption, distribution, metabolism, excretion, and toxicity characteristics of the complex structure were investigated, and the findings revealed the complex lead compound's safety profile and its potential for use as a potent anticancer medication.

Section: Resultsmentioning

confidence: 99%

Exploring the co‐activity of FDA approved drug gemcitabine and docetaxel for enhanced anti‐breast cancer activity: DFT, docking, molecular dynamics simulation and pharmacophore studies

Sukumaran,

Zochedh,

Chandran

et al. 2024

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“…Figure 12 shows a scattered graph made via Multiwfn 3.4.1 programme [69] and the VMD program [70]. The colorful dispersed plot was created using Gnuplot [71] and pictured with Irfan View 64. Accordingly, the green scattered points represented that the minimal electron density and the vdW interaction, the blue area represents the (À) value of isosurface sign (λ 2 ) ρ (a.u.…”

Section: Rdg Analysismentioning

confidence: 99%

Quantum chemical calculation, topological analysis, biological evaluation and molecular docking of allo‐ocimenol against breast cancer

Chandran,

Zochedh,

Sukumaran

et al. 2023

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The main aim of this study is to identify the structural stability of allo‐ocimenol and its molecular reactivity against breast cancer‐associated proteins to confirm its anti‐cancer capability using density function theory and molecular docking analysis. The structural optimization was carried out via the DFT/B3LYP technique with a 6‐311++G (d,p) basis set. The molecular geometry and vibrational assignments of the Allo‐Ocimenol molecule were analyzed through density functional theory (DFT). Through optimized molecular structure, the vibrational frequencies (FT‐IR and FT‐Raman) were assigned and related with experimentally observed vibrational frequencies and the UV spectrum was computed and experimentally confirmed. The allo‐ocimenol's reactive activity was further analyzed through a computed molecular electrostatic potential surface. Utilizing the HOMO‐LUMO energies and molecular electrostatic potential energy gap, the reactivity and molecular stability of the allo‐ocimenol molecule was calculated. Mulliken and natural population analyses were used to determine the charge distribution across the allo‐ocimenol atoms. The natural bond orbitals were used to demonstrate the bioactivity of the titled molecule. RDG evaluation was used to examine the weak interactions of the allo‐ocimenol molecule. ELF and LOL analyses were utilized to investigate the topology of the allo‐ocimenol molecule. Thermodynamic evaluation has been utilized to acquire values and asses the thermodynamic parameters that reveal the thermal stability of the title molecule. Allo‐Ocimenol's anti‐microbial activity was assessed through an in‐vitro disc diffusion method, and its tumor inhibitory and pharmacokinetic properties were evaluated through an in‐silico approach using molecular docking and ADMET investigation. Zones of clearance were seen in anti‐microbial analyses at various concentrations, and the breast cancer target protein NAMPT established the greatest binding potential, with a docking value of −7.4 Kcal mol−1.

Integrated quantum chemical calculations, predictive toxicity assessment, absorption, distribution, metabolism, excretion and toxicity profiling and molecular docking analysis to unveil the therapeutic potential of non‐oxovanadium(IV) and organotin(IV) complexes targeting breast cancer cells

Thakur,

Kumari,

Kumar

et al. 2024

In this work, theoretical calculations of o‐phenylphenol‐based non‐oxovanadium(IV) and organotin(IV) complexes, previously prepared and reported by our group, have been carried out by density functional theory (DFT). Density functional theory quantum chemical computations were used to explore the structural and spectroscopic characteristics of the complexes in this study. The inhibitory nature of complexes were revealed via molecular docking research, which were performed against selected breast cancer cell proteins, 5NWH and 3HB5. The optimization and stability of complexes 1–6, were conducted using optimized DFT/B3LYP/6–311++G (d, p) level. Simulated computations of the molecular electrostatic potential surface were also performed to analyze the reactive behavior of the non‐oxovanadium(IV) and organotin(IV) complexes. The stability and molecular reactivity of the molecules were computed using the HOMO‐LUMO energies, energy gap, chemical potential (μ), electronegativity (χ), hardness (η), and softness (S) values. In silico analysis through molecular docking, ADMET properties and toxicity evaluation was used to assess its anticancer activity, drug‐likeness property and toxicity. The binding constant value, evaluated from molecular docking, was found to be very promising, −10.1 kcal mol−1 observed for vanadium complex 5 and the complexes were found to exhibit inhibition constant as low as 0.0378 μMol. Root‐mean‐square deviation (RMSD) has been carried out to validate molecular docking studies, which have been found to be below 2.0 Å for the complexes, indicating successful docking of the ligand‐protein complex by the program. The complexes, evaluated for their toxicity behavior in terms of Lethal Dose, based on Globally Harmonized System (GHS), have been found to be chemical safe falling under the category III and V and hence can find use as future metallo‐based drugs.