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      BitterDB: taste ligands and receptors database in 2019

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          Abstract

          BitterDB ( http://bitterdb.agri.huji.ac.il) was introduced in 2012 as a central resource for information on bitter-tasting molecules and their receptors. The information in BitterDB is frequently used for choosing suitable ligands for experimental studies, for developing bitterness predictors, for analysis of receptors promiscuity and more. Here, we describe a major upgrade of the database, including significant increase in content as well as new features. BitterDB now holds over 1000 bitter molecules, up from the initial 550. When available, quantitative sensory data on bitterness intensity as well as toxicity information were added. For 270 molecules, at least one associated bitter taste receptor (T2R) is reported. The overall number of ligand–T2R associations is now close to 800. BitterDB was extended to several species: in addition to human, it now holds information on mouse, cat and chicken T2Rs, and the compounds that activate them. BitterDB now provides a unique platform for structure-based studies with high-quality homology models, known ligands, and for the human receptors also data from mutagenesis experiments, information on frequently occurring single nucleotide polymorphisms and links to expression levels in different tissues.

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          The receptors and cells for mammalian taste.

          The emerging picture of taste coding at the periphery is one of elegant simplicity. Contrary to what was generally believed, it is now clear that distinct cell types expressing unique receptors are tuned to detect each of the five basic tastes: sweet, sour, bitter, salty and umami. Importantly, receptor cells for each taste quality function as dedicated sensors wired to elicit stereotypic responses.
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            The cell biology of taste

            Taste buds are aggregates of 50–100 polarized neuroepithelial cells that detect nutrients and other compounds. Combined analyses of gene expression and cellular function reveal an elegant cellular organization within the taste bud. This review discusses the functional classes of taste cells, their cell biology, and current thinking on how taste information is transmitted to the brain.
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              NGL viewer: web-based molecular graphics for large complexes.

              The interactive visualization of very large macromolecular complexes on the web is becoming a challenging problem as experimental techniques advance at an unprecedented rate and deliver structures of increasing size.
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                Author and article information

                Journal
                Nucleic Acids Res
                Nucleic Acids Res
                nar
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                08 January 2019
                24 October 2018
                24 October 2018
                : 47
                : Database issue , Database issue
                : D1179-D1185
                Affiliations
                [1 ]The Institute of Biochemistry, Food and Nutrition, The Robert H Smith Faculty of Agriculture, Food and Environment, The Hebrew University, 76100 Rehovot, Israel
                [2 ]The Fritz Haber Center for Molecular Dynamics, The Hebrew University, Jerusalem 91904, Israel
                Author notes
                To whom correspondence should be addressed. Tel: 972 894 896 64; Fax: 972 894 896 64; Email: niv@ 123456agri.huji.ac.il . Correspondence may also be addressed to Ayana Dagan-Wiener. Tel: 972 894 898 21; Fax: 972 894 896 64; Email: ayana.wiener@ 123456mail.huji.ac.il

                Present address: Antonella Di Pizio, Leibniz-Institute for Food Systems Biology at the Technical University of Munich, Lise-Meitner-Strasse 34, 85354 Freising, Germany.

                Present address: Malkeet S. Bahia, Department of Chemistry, Bar Ilan University, 5290002 Ramat-Gan, Israel.

                Article
                gky974
                10.1093/nar/gky974
                6323989
                30357384
                f66b265b-7341-4a99-b358-df6ccaaa8a43
                © The Author(s) 2018. Published by Oxford University Press on behalf of Nucleic Acids Research.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@ 123456oup.com

                History
                : 09 October 2018
                : 03 October 2018
                : 20 September 2018
                Page count
                Pages: 7
                Funding
                Funded by: Israel Science Foundation 10.13039/501100003977
                Award ID: ISF 494/16
                Award ID: ISF-NSFC 2463/16
                Categories
                Database Issue

                Genetics
                Genetics

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