Interaction of cisplatin anticancer drug with C20 bowl: DFT investigation

2021 ◽  
pp. 1-12
Author(s):  
Reza Ghiasi ◽  
Alireza Valizadeh
Keyword(s):  
Drug Interaction ◽  
Charge Transfer ◽  
Anticancer Drug ◽  
Structural Parameters ◽  
Orbital Energy ◽  
Molecular Volume ◽  
Log P ◽  
Water Partition Coefficient ◽  
The Stability ◽  
Precursor Molecules

This study investigated the cisplatin (anticancer drug) interaction with C20 bowl and C20H10(Bowl) molecule including hydrogen-saturated with using mPW1PW91 functional. The stability of the various isomers of drug interaction with C20 bowl was investigated. The interaction energy values were estimated in these systems. Changes in the structural parameters and the frontier orbital energy and HOMO-LUMO gap values were evaluated. Charge transfer between fragments were shown with electrophilicity-based charge transfer (ECT). The Octanol–water partition coefficient (log P) and molecular volume (Vm) of these drug precursor molecules were studied. Also, Pt-C bond characterizations were illustrated using QTAIM analysis. The results showed that C20 bowl can be a promising nanocarrier for cisplatin anticancer drug.

scholarly journals Prediction of Biopharmaceutical Drug Disposition Classification System (BDDCS) by Structural Parameters

2019 ◽  
Vol 22 ◽  
pp. 247-269 ◽  
Author(s):  
Yeganeh Golfar ◽  
Ali Shayanfar
Keyword(s):  
Classification System ◽  
Drug Disposition ◽  
Structural Parameters ◽  
Log P ◽  
Metabolizing Enzymes ◽  
Acceptable Accuracy ◽  
Water Partition Coefficient ◽  
Pharmacokinetic Properties ◽  
Solvation Parameters ◽  
External Test

Modeling of physicochemical and pharmacokinetic properties is important for the prediction and mechanism characterization in drug discovery and development. Biopharmaceutics Drug Disposition Classification System (BDDCS) is a four-class system based on solubility and metabolism. This system is employed to delineate the role of transporters in pharmacokinetics and their interaction with metabolizing enzymes. It further anticipates drug disposition and potential drug-drug interactions in the liver and intestine. According to BDDCS, drugs are classified into four groups in terms of the extent of metabolism and solubility (high and low). In this study, structural parameters of drugs were used to develop classification-based models for the prediction of BDDCS class. Reported BDDCS data of drugs were collected from the literature, and structural descriptors (Abraham solvation parameters and octanol–water partition coefficient (log P)) were calculated by ACD/Labs software. Data were divided into training and test sets. Classification-based models were then used to predict the class of each drug in BDDCS system using structural parameters and the validity of the established models was evaluated by an external test set. The results of this study showed that log P and Abraham solvation parameters are able to predict the class of solubility and metabolism in BDDCS system with good accuracy. Based on the developed methods for prediction solubility and metabolism class, BDDCS could be predicted in the correct with an acceptable accuracy. Structural properties of drugs, i.e. logP and Abraham solvation parameters (polarizability, hydrogen bonding acidity and basicity), are capable of estimating the class of solubility and metabolism with an acceptable accuracy.

Structure-absorption relationships of a series of 6-fluoroquinolones.

1997 ◽  
Vol 41 (9) ◽  
pp. 1996-2000 ◽  
Author(s):  
E Escribano ◽  
A C Calpena ◽  
T M Garrigues ◽  
J Freixas ◽  
J Domenech ◽  
...  
Keyword(s):  
Structural Parameters ◽  
Molecular Surface ◽  
Molecular Volume ◽  
Log P ◽  
Linear Regression Method ◽  
Dipolar Moment ◽  
Interesting Compound ◽  
The One ◽  
Intrinsic Solubility

The physicochemical constants and some structural parameters (topological, steric, and electronic) of eight third-generation monofluorate quinolones (six uncommercialized and two used clinically [ciprofloxacin and enrofloxacin]) were determined: pKa, intrinsic solubility (S0), chromatographic capacity factor, partition coefficient (P), valency molecular connectivity, molecular volume, molecular surface area, dipolar moment, and charges associated with each atom of the molecule. The apparent intestinal absorption rate constants (K(abs)) in rat (in vivo perfusion) and the MICs at which 90% of the isolates are inhibited (MIC90s) against 100 Escherichia coli strains were also determined. We sought to establish simple nonlinear and multiple linear correlations between K(abs), on the one hand, and lipophilic parameters and other physicochemical and structural parameters estimated. Of the nonlinear functions examined, the hyperbolic had the best correlation between K(abs) and P, which was in accordance with the Wagner-Sedman (J. G. Wagner and A. J. Sedman, J. Pharmacokinet. Biopharm. 1:23-50, 1973) equation, whereas, after application of the stepwise multiple linear regression method, a multiple linear correlation with some predictive value could be established only between K(abs) as a dependent variable and log P and log S0 as independent variables. In conclusion, the K(abs) and MIC90 of the quinolone CNV 8902 suggest that it is a sufficiently interesting compound to warrant the investigation of its potential therapeutic use orally.

scholarly journals The effect of cation–π interactions on the stability and electronic properties of anticancer drug Altretamine: a theoretical study

2020 ◽  
Vol 76 (10) ◽  
pp. 982-991
Author(s):  
Fahimeh Alirezapour ◽  
Azadeh Khanmohammadi
Keyword(s):  
Charge Transfer ◽  
Dft Calculations ◽  
Electronic Properties ◽  
Anticancer Drug ◽  
Density Functional ◽  
Nbo Analysis ◽  
Basis Set ◽  
Π Interactions ◽  
Chemical Computation ◽  
The Stability

The present work utilizes density functional theory (DFT) calculations to study the influence of cation–π interactions on the electronic properties of the complexes formed by Altretamine [2,4,6-tris(dimethylamino)-1,3,5-triazine], an anticancer drug, with mono- and divalent (Li+, Na+, K+, Be2+, Mg2+ and Ca2+) metal cations. The structures were optimized with the M06-2X method and the 6-311++G(d,p) basis set in the gas phase and in solution. The theory of `Atoms in Molecules' (AIM) was applied to study the nature of the interactions by calculating the electron density ρ(r) and its Laplacian at the bond critical points. The charge-transfer process during complexation was evaluated using natural bond orbital (NBO) analysis. The results of DFT calculations demonstrate that the strongest/weakest interactions belong to Be2+/K+ complexes. There are good correlations between the achieved densities and the amounts of charge transfer with the interaction energies. Finally, the stability and reactivity of the cation–π interactions can be determined by quantum chemical computation based on the molecular orbital (MO) theory.

On the Nature of Halide-Water Interactions: Insights from Many-Body Representations and Density Functional Theory

2019 ◽  
Author(s):  
Brandon B. Bizzarro ◽  
Colin K. Egan ◽  
Francesco Paesani
Keyword(s):  
Density Functional Theory ◽  
Charge Transfer ◽  
Molecular Orbital ◽  
Density Functional ◽  
Decomposition Analysis ◽  
Orbital Energy ◽  
Energy Decomposition Analysis ◽  
Interaction Energies ◽  
Many Body ◽  
Functional Theory

<div> <div> <div> <p>Interaction energies of halide-water dimers, X<sup>-</sup>(H<sub>2</sub>O), and trimers, X<sup>-</sup>(H<sub>2</sub>O)<sub>2</sub>, with X = F, Cl, Br, and I, are investigated using various many-body models and exchange-correlation functionals selected across the hierarchy of density functional theory (DFT) approximations. Analysis of the results obtained with the many-body models demonstrates the need to capture important short-range interactions in the regime of large inter-molecular orbital overlap, such as charge transfer and charge penetration. Failure to reproduce these effects can lead to large deviations relative to reference data calculated at the coupled cluster level of theory. Decompositions of interaction energies carried out with the absolutely localized molecular orbital energy decomposition analysis (ALMO-EDA) method demonstrate that permanent and inductive electrostatic energies are accurately reproduced by all classes of XC functionals (from generalized gradient corrected (GGA) to hybrid and range-separated functionals), while significant variance is found for charge transfer energies predicted by different XC functionals. Since GGA and hybrid XC functionals predict the most and least attractive charge transfer energies, respectively, the large variance is likely due to the delocalization error. In this scenario, the hybrid XC functionals are then expected to provide the most accurate charge transfer energies. The sum of Pauli repulsion and dispersion energies are the most varied among the XC functionals, but it is found that a correspondence between the interaction energy and the ALMO EDA total frozen energy may be used to determine accurate estimates for these contributions. </p> </div> </div> </div>

Relationships between Cellular Toxicity, the Maximum Tolerated Dose, Lipophilicity and Electrophilicity

1992 ◽  
Vol 20 (4) ◽  
pp. 549-562
Author(s):  
Herbert S. Rosenkranz ◽  
Edwin J. Matthews ◽  
Gilles Klopman
Keyword(s):  
Cultured Cells ◽  
Chemical Properties ◽  
Maximum Tolerated Dose ◽  
Log P ◽  
Lumo Energy ◽  
Cellular Toxicity ◽  
Water Partition Coefficient ◽  
The Us ◽  
Lowest Unoccupied Molecular Orbital ◽  
Rats And Mice

Results on cellular toxicity and maximum tolerated dose (MTD) for rats and mice were available for approximately 175 chemicals tested by the US National Toxicology Program. Additionally, the computed log P (log octanol-water partition coefficient) and the lowest unoccupied molecular orbital (LUMO) energy values, a measure of electrophilicity were also available for most of these chemicals. Analysis of the chemicals on the basis of their physical and quantum chemical properties and their toxic effects on cultured cells and rodents showed that: 1) as a group, the more toxic chemicals showed a trend towards higher LUMO energies (i.e. less electrophilic); 2) cytotoxic chemicals exhibited increased lipophilicity; and 3) cytotoxic chemicals were associated with increased systemic toxicity (as measured by the MTD). None of these relationships was expressed in a significant linear fashion as a function of the concentration at which the chemicals exhibited cytotoxicity.

scholarly journals Charge Transfer Complexes of Ketotifen with 2,3-Dichloro-5,6-dicyano-p-benzoquinone and 7,7,8,8-Tetracyanoquodimethane: Spectroscopic Characterization Studies

Molecules ◽  
2021 ◽  
Vol 26 (7) ◽  
pp. 2039
Author(s):  
Gamal A. E. Mostafa ◽  
Ahmed Bakheit ◽  
Najla AlMasoud ◽  
Haitham AlRabiah
Keyword(s):  
Charge Transfer ◽  
Spectroscopic Characterization ◽  
Molar Ratio ◽  
Charge Transfer Complexes ◽  
Physical Parameters ◽  
Spectrophotometric Methods ◽  
Theoretical Approaches ◽  
The Stability ◽  
Ct Complexes

The reactions of ketotifen fumarate (KT) with 2,3-dichloro-5,6-dicyano-p-benzoquinone (DDQ) and 7,7,8,8-tetracyanoquinodimethane (TCNQ) as π acceptors to form charge transfer (CT) complexes were evaluated in this study. Experimental and theoretical approaches, including density function theory (DFT), were used to obtain the comprehensive, reliable, and accurate structure elucidation of the developed CT complexes. The CT complexes (KT-DDQ and KT-TCNQ) were monitored at 485 and 843 nm, respectively, and the calibration curve ranged from 10 to 100 ppm for KT-DDQ and 2.5 to 40 ppm for KT-TCNQ. The spectrophotometric methods were validated for the determination of KT, and the stability of the CT complexes was assessed by studying the corresponding spectroscopic physical parameters. The molar ratio of KT:DDQ and KT:TCNQ was estimated at 1:1 using Job’s method, which was compatible with the results obtained using the Benesi–Hildebrand equation. Using these complexes, the quantitative determination of KT in its dosage form was successful.

Interfacing RuO2 with Pt to induce efficient charge transfer from Pt to RuO2 for highly efficient and stable oxygen evolution under acidic media

2021 ◽  
Author(s):  
Taehyun Kwon ◽  
Heesu Yang ◽  
Minki Jun ◽  
Taekyung Kim ◽  
Jinwhan Joo ◽  
...  
Keyword(s):  
Charge Transfer ◽  
Oxygen Evolution ◽  
Oxygen Evolution Reaction ◽  
Acidic Media ◽  
Highly Efficient ◽  
Efficient Charge ◽  
Stable Oxygen ◽  
The Stability

The oxygen evolution reaction (OER) requires a large overpotential which undermines the stability of electrocatalysts, typically IrOx or RuOx. RuOx is particularly vulnerable to high overpotential in acidic media, due...

Numerical and Experimental Approaches to Investigate the Stability of a Motorcycle Vehicle

2006 ◽  
Author(s):  
Federico Cheli ◽  
Marco Bocciolone ◽  
Marco Pezzola ◽  
Elisabetta Leo
Keyword(s):  
Degrees Of Freedom ◽  
Structural Parameters ◽  
Experimental Tests ◽  
Roll Angle ◽  
Longitudinal Motion ◽  
Reference Trajectory ◽  
Steering Angle ◽  
Steady State Condition ◽  
The Stability ◽  
Linearized Model

The study of motorcycle’s stability is an important task for the passenger’s safety. The range of frequencies involved for the handling stability is lower than 10 Hz. A numerical model was developed to access the stability of a motorcycle vehicle in this frequency range. The stability is analysed using a linearized model around the straight steady state condition. In this condition, the vehicle’s vertical and longitudinal motion are decoupled, hence the model has only four degrees of freedom (steering angle, yaw angle, roll angle and lateral translation), while longitudinal motion is imposed. The stability was studied increasing the longitudinal speed. The input of the model can be either a driver input manoeuvre (roll angle) or a transversal component of road input able to excite the vibration modes. The driver is introduced in the model as a steering torque that allows the vehicle to follow a reference trajectory. To validate the model, experimental tests were done. To excite the vehicle modes, the driver input was not taken into account considering both the danger for the driver and the repeatability of the manoeuvre. Two different vehicle configurations were tested: vehicle 1 is a motorcycle [7] and vehicle 2 is a scooter. Through the use of the validated model, a sensitivity analysis was done changing structural (for example normal trail, steering angle, mass) and non structural parameters (for example longitudinal speed).

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