Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

The recent COVID-19 outbreak caused by the novel coronavirus SARS-CoV-2 has an immense impact on global health and economy. Although vaccines are being used, urgent need of drugs based on natural products with high efficacy and safety is a pressing priority. Quinoline alkaloids are well known for their therapeutic action against malaria; initially, it was tried against Coronaviruses. It is a basic vital scaffold to design drugs with required biological and pharmacological activities. In this present study, a new quinoline compound was synthesized and characterized by spectroscopy techniques. Crystal structure was established by SCXRD analysis and data is used as an input to perform various computations. Additionally, using state-of-the-art quantum computational techniques, the geometry optimization and calculation of UV-Vis spectrum of 2F6M3CQ were performed at B3LYP/6-311G* level of theory. The optimized molecular geometric parameters as well as UV-Vis spectrum values are found to be in good agreement with their respective experimental results. The visualization of 3-D plots of FMO and MEP indicated the structure and reactivity trends of 2F6M3CQ molecule. Molecular docking methods were utilized to find the drug ability of 2F6M3CQ with Mprotein of SARS-CoV-2. There were many intermolecular interactions between M protein and 2F6M3CQ molecule which lead to good binding energy (-5.5 kcal/mol) between them which was found to be better than the binding energy of chloroquinine molecule (-4.5 kcal/mol) as studied under same docking protocols. Finally, drug likeness and ADME properties of 2F6M3CQ were also analyzed. There is no violation found for RO5 in our 2F6M3CQ compound. ADME analysis shows drug like properties of compound 2F6M3CQ which predicts that it might be a potential candidate for inhibition of SARS-CoV-2.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9273294PMC
http://dx.doi.org/10.1016/j.jpcs.2022.110886DOI Listing

Publication Analysis

Top Keywords

crystal structure
8
uv-vis spectrum
8
2f6m3cq molecule
8
binding energy
8
2f6m3cq
7
synthesis spectral
4
spectral characterization
4
characterization crystal
4
structure computational
4
computational investigation
4

Similar Publications

Tuning the Electrical Property and Electronic Band Structures of Organic Semiconductors via Surface Tension.

J Phys Chem Lett

September 2025

National Laboratory of Solid-State Microstructures, School of Electronic Science and Engineering, Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing 210093, P. R. China.

Stress engineering is an effective way to tune the performance of semiconductors, which has been verified in the work of inorganic and organic single-crystal semiconductors. However, due to the limitations of the vapor-phase growth preparation conditions, the deposited polycrystalline organic semiconductors are more susceptible to residual stress. Therefore, it is of great research significance to develop a low-cost stress engineering applicable to vapor-deposited semiconductors.

View Article and Find Full Text PDF

A series of Cu-based single-atom catalysts (SACs) with asymmetric coordination were designed to accelerate lithium-sulfur (Li-S) chemistry. The electronegativity contrast from the dopant induces a localized electronic asymmetry that amplifies Jahn-Teller distortion at the Cu center. This distortion profoundly modulates the Cu 3d electronic structure and its interaction with Li-S intermediates.

View Article and Find Full Text PDF

We have established a new route for boron-rich ruthenaborane clusters utilizing [BH·THF] and a ruthenium precursor featuring chelating ligands. Salt elimination reactions between [K(CHNE)], (E = S; Se) and [RuCl(PPh)], afforded -[Ru(κ--CHNE)(PPh)], -- (-: E = S and -: E = Se). Following the ligand exchange reaction with the 1,2-bis (diphenylphosphino)ethane (dppe) ligand yielded -[Ru(κ--CHNE)(dppe)] (-: E = S; -: E = Se).

View Article and Find Full Text PDF

Low-Dimensional Semiconducting Silver (Germanium, Tin) Polyphosphides - Incommensurately Modulated Derivates of the HgPbP Structure Type.

Inorg Chem

September 2025

Synthesis and Characterization of Innovative Materials, TUM School of Natural Sciences, Department of Chemistry, Technical University of Munich, Lichtenbergstraße 4, Garching b. München 85748, Germany.

Semiconductors with one-dimensional (1D) substructures are promising for next-generation optical and electronic devices due to their directional transport and flexibility. Representatives of this class include HgPbP-type materials. This study investigates the related semiconductors AgGeP and AgSnP.

View Article and Find Full Text PDF

Large language models (LLMs) have demonstrated transformative potential for materials discovery in condensed matter systems, but their full utility requires both broader application scenarios and integration with ab initio crystal structure prediction (CSP), density functional theory (DFT) methods and domain knowledge to benefit future inverse material design. Here, we develop an integrated computational framework combining language model-guided materials screening with genetic algorithm (GA) and graph neural network (GNN)-based CSP methods to predict new photovoltaic material. This LLM + CSP + DFT approach successfully identifies a previously overlooked oxide material with unexpected photovoltaic potential.

View Article and Find Full Text PDF