Computational and Theoretical Chemistry, Journal Year: 2023, Volume and Issue: 1230, P. 114388 - 114388
Published: Nov. 8, 2023
Language: Английский
Computational and Theoretical Chemistry, Journal Year: 2023, Volume and Issue: 1230, P. 114388 - 114388
Published: Nov. 8, 2023
Language: Английский
Solid State Communications, Journal Year: 2024, Volume and Issue: 380, P. 115431 - 115431
Published: Jan. 6, 2024
Language: Английский
Citations
3Inorganic Chemistry Communications, Journal Year: 2024, Volume and Issue: 162, P. 112187 - 112187
Published: Feb. 10, 2024
Language: Английский
Citations
2Physica B Condensed Matter, Journal Year: 2024, Volume and Issue: 676, P. 415658 - 415658
Published: Jan. 1, 2024
Language: Английский
Citations
1Chemical Physics Impact, Journal Year: 2024, Volume and Issue: 8, P. 100490 - 100490
Published: Jan. 21, 2024
In the past few decades, removal of organic solvents from different substances, especially through use nanostructured materials, has been crucial in various industries, including improvement innovative and adaptable nano adsorbents. Computational approaches are widely recognized as powerful tools for searching molecular systems at atomic level investigating characteristics their interactions. This study utilized dispersion-corrected DFT approach to gain a detailed comprehension how CH2O molecules interact with both Pd-doped pristine ZnO nanotubes (ZnONTs) during adsorption process. The aim was achieve comprehensive behavior. To accomplish this, an extensive examination active sites optimized geometrical interacting conducted. assess capacity Pd-ZnO nanotube CH2O, binding species have assessed. evaluation included analyzing interaction energy (Eint), charge transfer, electronic properties, ELF analysis. Moreover, Pd-doping greatly enhances strength ZnONTs, thereby imparting them superior capability adsorption. significant by sensor under consideration raises prospect utilizing these highly effective materials detection, which is matter great interest. results our provide foundation designing energy-efficient nanosensors that can serve cost-effective solutions detecting contaminants wastewater.
Language: Английский
Citations
1Molecular Physics, Journal Year: 2024, Volume and Issue: 122(17)
Published: Feb. 7, 2024
This study's main focus was on the process by which Ciclopirox adhered to AlN nanostructures, Calculations using density functional theory were done reach this goal. The calculations encompassed assessment of Ciclopirox's adsorption energy, evaluation energy band gap, analysis variations in examination charge transfers, and characterisation types interactions that arise from onto nanostructures. We carried out an investigation AIM method explore deeper into binding properties between studied nanostructures Ciclopirox. Our discoveries provide light Ciclopirox/AlN nanosheet interaction's electrostatic characteristics. Moreover, presence led augmentation electrical conductivity intriguing outcome suggests potential application these nanomaterials as chemical sensors, capable generating electronic signal upon detection chemically modified amino acid. observed sensitivity sequence indicated exhibited highest sensitivity, followed nanotube nanocluster. In conclusion, our study provides compelling evidence supporting excellent choice for compared other
Language: Английский
Citations
1Journal of Biomolecular Structure and Dynamics, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 16
Published: May 3, 2024
In a step towards understanding the structure–property relationship among Synthetic Cathinones (SCs), combined methodology based on Density Functional Theory (DFT), Administration, Distribution, Metabolism, Excretion, and Toxicity (ADMET) predictions, docking molecular dynamics simulations have been applied to correlate physicochemical descriptors of various SCs their biological activity. The results from DFT studies well with each other explaining activity trends studied SCs. Quantum mechanical viz. polarizability, electron affinity, ionization potential, chemical hardness, electronegativity, electrostatic ion interaction unravel distinguishingly reactive nature Group D (pyrrolidine substituted) E (methylenedioxy pyrrolidine compounds. According ADMET analysis, molecules higher probability permeating through blood–brain barrier. Molecular indicate that Phe76, Ala77, Asp79, Val152, Tyr156, Phe320, Phe326 constitute binding pocket residues hDAT in which most active ligands MDPV, MDPBP, MDPPP are bound. Finally, validate derived quantum results, Dynamics (MD) performed homology-modelled (human dopamine transporter). MD simulation revealed majority remain stable within protein's sites via non-bonded interactions after 100 ns long simulations. findings DFT, docking, complement suggesting pyrrolidine-substituted (Group E), specifically, MPBP PVN proven potent along validating experimental observations.
Language: Английский
Citations
1Bulletin of Materials Science, Journal Year: 2024, Volume and Issue: 47(3)
Published: Aug. 14, 2024
Language: Английский
Citations
1Physica B Condensed Matter, Journal Year: 2023, Volume and Issue: 674, P. 415581 - 415581
Published: Dec. 9, 2023
Language: Английский
Citations
3Inorganic Chemistry Communications, Journal Year: 2023, Volume and Issue: 160, P. 111928 - 111928
Published: Dec. 16, 2023
Language: Английский
Citations
3Computational and Theoretical Chemistry, Journal Year: 2023, Volume and Issue: 1232, P. 114448 - 114448
Published: Dec. 24, 2023
Language: Английский
Citations
3