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      Molecular docking analysis of apigenin and quercetin from ethylacetate fraction of Adansonia digitata with malaria-associated calcium transport protein: An in silico approach

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          Abstract

          Background

          The investigation and knowledge of calcium handling mechanisms in the plasmodium has been considered as a potential biological target against malaria.

          Objective

          This study deals with the evaluation of inhibitory activity of secondary metabolites of ethylacetate partitioned-fraction of Adansonia digitata stem bark extract on malaria-associated protein using in silico docking studies.

          Materials and methods

          Molecular docking and virtual screening was performed to understand the mechanism of ligand binding and to identify potent calcium transporter inhibitors. The stem bark extracts of A. digitata contains rich sources of phytochemicals. The secondary metabolites were determined by HPLC-DAD and HRGC-MS analysis. The major chemical constituent present in the ethylacetate partitioned-fraction of A. digitata stem bark extract were examined for their antiplasmodial activity and were also involved in docking study.

          Results

          The secondary metabolites, quercetin and apigenin inhibited the formation of β-hematin. The results showed that all the selected compounds in the A. digitata showed binding energy ranging between -6.5 kcal/mol and -7.1 kcal/mol. Among the two chemical constituents, apigenin has the highest docking score along with the highest number of hydrogen bonds formed when compared to quercetin. Analysis of the results suggests that apigenin and quercetin could act as an anti-malaria agent.

          Conclusion

          Molecular docking analysis could lead to further development of potent calcium transporter inhibitors for the prevention and treatment of malaria and related conditions.

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          Most cited references29

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          Calcium signaling.

          Calcium ions (Ca(2+)) impact nearly every aspect of cellular life. This review examines the principles of Ca(2+) signaling, from changes in protein conformations driven by Ca(2+) to the mechanisms that control Ca(2+) levels in the cytoplasm and organelles. Also discussed is the highly localized nature of Ca(2+)-mediated signal transduction and its specific roles in excitability, exocytosis, motility, apoptosis, and transcription.
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            Virtual Screening for HIV Protease Inhibitors: A Comparison of AutoDock 4 and Vina

            Background The AutoDock family of software has been widely used in protein-ligand docking research. This study compares AutoDock 4 and AutoDock Vina in the context of virtual screening by using these programs to select compounds active against HIV protease. Methodology/Principal Findings Both programs were used to rank the members of two chemical libraries, each containing experimentally verified binders to HIV protease. In the case of the NCI Diversity Set II, both AutoDock 4 and Vina were able to select active compounds significantly better than random (AUC = 0.69 and 0.68, respectively; p<0.001). The binding energy predictions were highly correlated in this case, with r = 0.63 and ι = 0.82. For a set of larger, more flexible compounds from the Directory of Universal Decoys, the binding energy predictions were not correlated, and only Vina was able to rank compounds significantly better than random. Conclusions/Significance In ranking smaller molecules with few rotatable bonds, AutoDock 4 and Vina were equally capable, though both exhibited a size-related bias in scoring. However, as Vina executes more quickly and is able to more accurately rank larger molecules, researchers should look to it first when undertaking a virtual screen.
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              Iron-dependent free radical generation from the antimalarial agent artemisinin (qinghaosu).

              Artemisinin is an important new antimalarial agent containing a bridged endoperoxide. The in vitro antimalarial activity of an artemisinin derivative, arteether, is antagonized by two iron chelators, pyridoxal benzoylhydrazone and 1,2-dimethyl-3-hydroxypyrid-4-one. Similarly, the acute toxicity of artemisinin in mice is antagonized by another chelator, deferoxamine-hydroxyethylstarch. A combination of artemisinin and hemin oxidizes erythrocyte membrane thiols in vitro, and this oxidation is also inhibited by an iron chelator. Thus, iron plays a role in the mechanisms of action and toxicity of artemisinin. The combination of artemisinin and hemin also decreases erythrocyte deformability. Iron probably catalyzes the generation of free radicals from artemisinin since alpha-tocopherol antagonizes the thiol-oxidizing activity of artemisinin and since a spin-trapped free radical signal can be seen by electron paramagnetic resonance only when artemisinin is incubated in the presence of iron.
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                Author and article information

                Contributors
                Journal
                Heliyon
                Heliyon
                Heliyon
                Elsevier
                2405-8440
                17 September 2019
                September 2019
                17 September 2019
                : 5
                : 9
                : e02248
                Affiliations
                [a ]Department of Biochemistry, Federal University Oye Ekiti, Ekiti State, Nigeria
                [b ]Biomembrane and Biotechnology Laboratory, Department of Biochemistry, University of Ibadan, Oyo State, Nigeria
                [c ]Department of Biochemistry, University of Ilorin, Kwara State, Nigeria
                Author notes
                []Corresponding author. akinwunmi.adeoye@ 123456fuoye.edu.ng
                Article
                S2405-8440(19)35908-0 e02248
                10.1016/j.heliyon.2019.e02248
                6819832
                31687530
                89d5c8fb-0fa1-4388-9ea4-5593a71f0262
                © 2019 The Authors. Published by Elsevier Ltd.

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 23 January 2019
                : 20 May 2019
                : 5 August 2019
                Categories
                Article

                bioinformatics,biocomputational method,computational biology,computer-aided drug design,pharmaceutical science,biochemistry,autodock tool,hplc-dad analysis,hrgc-ms analysis,malaria,secondary metabolites

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