A Computational Screening on Inhibitability of Piper Betle Essential Oil Chemical Structures against Spike Proteins of Mutated SARS-CoV-2-variants D614G, N501Y, and S477N
Phan Tu Quy, Tran Thi Ai My, Nguyen Thi Thanh Hai, Thanh Q. Bui, Duong Tuan Quang, Nguyen Thanh Triet, Phan Phuoc Hien, Nguyen Thi Ai Nhung
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引用次数: 2
Abstract
ABSTRACT Aromatic phenylpropenoids in Piper betle essential oil composition can be promising, leading structures to develop inhibitors toward spike proteins of SARS-CoV-2 variants D614G, N501Y, and S477N. Structural formulae of chemical constituents were referenced from our previous report in the literature. Their quantum properties were determined using density functional theory (DFT). Static inhibitability, hydrogen-bonding interactions, and shape complementarity of the ligand-protein complexes were investigated using molecular docking (MD) simulation. All aromatic phenylpropenoids, eucalyptol (TH1), chavicol acetate (TH3), eugenol (TH4), trans-isoeugenol (TH5), and eugenol acetate (TH11), are predicted to form stable interactions with their targeted proteins and perform high degree of complementarity toward in-pose geometrical shapes. Regarding each variant, the most stable inhibitory systems are TH3-D614G (DS −11.9 kcal.mol−1; 3 hydrogen bonds), TH5-N501Y (DS −12.0 kcal.mol−1; 3 hydrogen bonds), and TH11-S477N (DS −12.5 kcal.mol−1; 4 hydrogen bonds). Lipinski’s rule of five justifies the physiochemical and pharmaceutical compatibility of all studied compounds. The results propose a chemotype for enzyme-inhibiting frameworks while still requiring further verification from relevant theoretical and experimental work. Graphical Abstract
期刊介绍:
Smart Science (ISSN 2308-0477) is an international, peer-reviewed journal that publishes significant original scientific researches, and reviews and analyses of current research and science policy. We welcome submissions of high quality papers from all fields of science and from any source. Articles of an interdisciplinary nature are particularly welcomed. Smart Science aims to be among the top multidisciplinary journals covering a broad spectrum of smart topics in the fields of materials science, chemistry, physics, engineering, medicine, and biology. Smart Science is currently focusing on the topics of Smart Manufacturing (CPS, IoT and AI) for Industry 4.0, Smart Energy and Smart Chemistry and Materials. Other specific research areas covered by the journal include, but are not limited to: 1. Smart Science in the Future 2. Smart Manufacturing: -Cyber-Physical System (CPS) -Internet of Things (IoT) and Internet of Brain (IoB) -Artificial Intelligence -Smart Computing -Smart Design/Machine -Smart Sensing -Smart Information and Networks 3. Smart Energy and Thermal/Fluidic Science 4. Smart Chemistry and Materials