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      Detection of Bitter Taste Molecules Based on Odorant-Binding Protein-Modified Screen-Printed Electrodes

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          Abstract

          Bitter taste substances commonly represent a signal of toxicity. Fast and reliable detection of bitter molecules improves the safety of foods and beverages. Here, we report a biosensor using an easily accessible and cost-effective odorant-binding protein (OBP) of Drosophila melanogaster as a biosensitive material for the detection of bitter molecules. Based on the theoretical evaluation of the protein–ligand interaction, binding energies between the OBP and bitter molecules were calculated via molecular docking for the prediction and verification of binding affinities. Through one-step reduction, gold nanoparticles (AuNPs) and reduced graphene oxide (rGO) were deposited on the screen-printed electrodes for improving the electrochemical properties of electrodes. After the electrodes were immobilized with OBPs via layer-by-layer self-assembly, typical bitter molecules, such as denatonium, quinine, and berberine, were investigated through electrochemical impedance spectroscopy. The bitter molecules showed significant binding properties to the OBP with linear response concentrations ranging from 10 –9 to 10 –6 mg/mL. Therefore, the OBP-based biosensor offered powerful analytic techniques for the detection of bitter molecules and showed promising applications in the field of bitter taste evaluation.

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          AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility.

          We describe the testing and release of AutoDock4 and the accompanying graphical user interface AutoDockTools. AutoDock4 incorporates limited flexibility in the receptor. Several tests are reported here, including a redocking experiment with 188 diverse ligand-protein complexes and a cross-docking experiment using flexible sidechains in 87 HIV protease complexes. We also report its utility in analysis of covalently bound ligands, using both a grid-based docking method and a modification of the flexible sidechain technique. (c) 2009 Wiley Periodicals, Inc.
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            Is Open Access

            SWISS-MODEL: homology modelling of protein structures and complexes

            Abstract Homology modelling has matured into an important technique in structural biology, significantly contributing to narrowing the gap between known protein sequences and experimentally determined structures. Fully automated workflows and servers simplify and streamline the homology modelling process, also allowing users without a specific computational expertise to generate reliable protein models and have easy access to modelling results, their visualization and interpretation. Here, we present an update to the SWISS-MODEL server, which pioneered the field of automated modelling 25 years ago and been continuously further developed. Recently, its functionality has been extended to the modelling of homo- and heteromeric complexes. Starting from the amino acid sequences of the interacting proteins, both the stoichiometry and the overall structure of the complex are inferred by homology modelling. Other major improvements include the implementation of a new modelling engine, ProMod3 and the introduction a new local model quality estimation method, QMEANDisCo. SWISS-MODEL is freely available at https://swissmodel.expasy.org.
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              Molecular evolution of the major chemosensory gene families in insects.

              Chemoreception is a crucial biological process that is essential for the survival of animals. In insects, olfaction allows the organism to recognise volatile cues that allow the detection of food, predators and mates, whereas the sense of taste commonly allows the discrimination of soluble stimulants that elicit feeding behaviours and can also initiate innate sexual and reproductive responses. The most important proteins involved in the recognition of chemical cues comprise moderately sized multigene families. These families include odorant-binding proteins (OBPs) and chemosensory proteins (CSPs), which are involved in peripheral olfactory processing, and the chemoreceptor superfamily formed by the olfactory receptor (OR) and gustatory receptor (GR) families. Here, we review some recent evolutionary genomic studies of chemosensory gene families using the data from fully sequenced insect genomes, especially from the 12 newly available Drosophila genomes. Overall, the results clearly support the birth-and-death model as the major mechanism of evolution in these gene families. Namely, new members arise by tandem gene duplication, progressively diverge in sequence and function, and can eventually be lost from the genome by a deletion or pseudogenisation event. Adaptive changes fostered by environmental shifts are also observed in the evolution of chemosensory families in insects and likely involve reproductive, ecological or behavioural traits. Consequently, the current size of these gene families is mainly a result of random gene gain and loss events. This dynamic process may represent a major source of genetic variation, providing opportunities for FUTURE specific adaptations.
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                Author and article information

                Journal
                ACS Omega
                ACS Omega
                ao
                acsodf
                ACS Omega
                American Chemical Society
                2470-1343
                15 October 2020
                27 October 2020
                : 5
                : 42
                : 27536-27545
                Affiliations
                []Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University , Hangzhou 310027, P. R. China
                []The First Affiliated Hospital of Zhejiang University School of Medicine , Hangzhou 310003, P. R. China
                [§ ]Collaborative Innovation Center of TCM Health Management, Fujian University of Traditional Chinese Medicine , Fuzhou 350108, P. R. China
                Author notes
                [* ]Email: yanlilu@ 123456zju.edu.cn . Tel/Fax: +86 571 87953796.
                Article
                10.1021/acsomega.0c04089
                7594143
                33134717
                4848c3c5-77c7-44cf-a0be-a069d985abac
                © 2020 American Chemical Society

                This is an open access article published under an ACS AuthorChoice License, which permits copying and redistribution of the article or any adaptations for non-commercial purposes.

                History
                : 24 August 2020
                : 29 September 2020
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