Heba Nawfal Al Araji , Ehab Yassen Theab , Shirin Shomurotova , Prakash Kanjariya , Asha Rajiv , Aman Shankhyan , Helen Merina Albert , Harish Kumar , Maher Ali Rusho , Ahmed M. Naglah
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引用次数: 0
Abstract
The current work employed DFT simulations to investigate both the reactivity and sensitivity of tetragonal aluminum nitride (T-AlN) as a nanocarrier towards isoniazid (INZ). The solvation effect, workfunction, quantum molecular descriptors (e.g., global softness), charge transports, and adhesion behaviour were analyzed to study the interactions between T-AlN and INZ. The adhesion of INZ onto T-AlN was robust. The adhesion energy in the aqueous phase was −21.89 kcal/mol and it was −40.56 in the gaseous phase. Based on the charge transport analyses, there was substantial charge transport throughout the adhesion. Also, there was a reduction of 59.32 % in the bandgap values for T-AlN following INZ attachment. Furthermore, the workfunction values and NBO analyses suggested that T-AlN can function as a promising nanocarrier for INZ. Additionally, the electronic attributes of T-AlN exhibited strong sensitivity towards the INH molecules. So, it is possible to use T-AlN for biosensing purposes and for tracing drugs through spectrophotometric methods in the human body.
期刊介绍:
The Journal of Molecular Graphics and Modelling is devoted to the publication of papers on the uses of computers in theoretical investigations of molecular structure, function, interaction, and design. The scope of the journal includes all aspects of molecular modeling and computational chemistry, including, for instance, the study of molecular shape and properties, molecular simulations, protein and polymer engineering, drug design, materials design, structure-activity and structure-property relationships, database mining, and compound library design.
As a primary research journal, JMGM seeks to bring new knowledge to the attention of our readers. As such, submissions to the journal need to not only report results, but must draw conclusions and explore implications of the work presented. Authors are strongly encouraged to bear this in mind when preparing manuscripts. Routine applications of standard modelling approaches, providing only very limited new scientific insight, will not meet our criteria for publication. Reproducibility of reported calculations is an important issue. Wherever possible, we urge authors to enhance their papers with Supplementary Data, for example, in QSAR studies machine-readable versions of molecular datasets or in the development of new force-field parameters versions of the topology and force field parameter files. Routine applications of existing methods that do not lead to genuinely new insight will not be considered.