Open AccessAntimalarial phytochemicals as inhibitors against COVID-19 ACE2 receptor: Computational screening
Author(s) -
Ouided Benslama,
Nedjwa Mansouri,
Rabah Arhab
Publication year - 2021
Publication title -
notulae scientia biologicae
Language(s) - English
Resource type - Journals
eISSN - 2067-3264
pISSN - 2067-3205
DOI - 10.15835/nsb13210835
Subject(s) - pharmacophore , chemistry , docking (animal) , in silico , artemisinin , virtual screening , stereochemistry , small molecule , combinatorial chemistry , drug discovery , hydrogen bond , molecule , pharmacology , plasmodium falciparum , computational biology , biochemistry , malaria , biology , organic chemistry , medicine , nursing , immunology , gene
Quinine, artemisinin, febrifugine, brusatol, chaparrin tehranolide, glaucarubin, sergeoliden, and yingzhaosu A, nine antimalarial phytochemicals, were the focus of an in-silico analysis aimed at discovering new therapeutic molecules against COVID-19 infection. The screening of these molecules included a molecular docking approach within the Angiotensin-converting enzyme-2 (ACE2) receptor. In addition, drug-likeness, ADMET analysis and pharmacophore mapping have been performed. The result of the docking process was based on the energy binding values as well as the number and type of interactions established with the receptor active site residues, which were compared with those of co-crystallized ligand and chloroquine. Febrifugine showed the most interesting energetic and interactive activities that were closer to the reference molecule and better than those of chloroquine. Whereas artemisinin has produced results that are the closest to those of chloroquine. Similarly, drug-likeness and ADMET analysis have shown that febrifugine and artemisinin check most of the filters and pharmacokinetic properties required for the choice of an effective therapeutic molecule. A pharmacophore model was designed on the basis of a training set consisting of the most relevant molecules; it has one metal ligator cum hydrophobic region cum hydrogen bond acceptor, one hydrogen bond acceptor cum metal ligator and one hydrophobic aromatic ring. This model is proposed to be used for the in-silico discovery of new therapeutic molecules against coronavirus.