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      The modes of action of ion-channel-targeting neurotoxic insecticides: lessons from structural biology

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      Nature Structural & Molecular Biology
      Springer Science and Business Media LLC

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          UCSF ChimeraX : Structure visualization for researchers, educators, and developers

          UCSF ChimeraX is the next-generation interactive visualization program from the Resource for Biocomputing, Visualization, and Informatics (RBVI), following UCSF Chimera. ChimeraX brings (a) significant performance and graphics enhancements; (b) new implementations of Chimera's most highly used tools, many with further improvements; (c) several entirely new analysis features; (d) support for new areas such as virtual reality, light-sheet microscopy, and medical imaging data; (e) major ease-of-use advances, including toolbars with icons to perform actions with a single click, basic "undo" capabilities, and more logical and consistent commands; and (f) an app store for researchers to contribute new tools. ChimeraX includes full user documentation and is free for noncommercial use, with downloads available for Windows, Linux, and macOS from https://www.rbvi.ucsf.edu/chimerax.
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            Worldwide decline of the entomofauna: A review of its drivers

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              TRP channels as cellular sensors.

              TRP channels are the vanguard of our sensory systems, responding to temperature, touch, pain, osmolarity, pheromones, taste and other stimuli. But their role is much broader than classical sensory transduction. They are an ancient sensory apparatus for the cell, not just the multicellular organism, and they have been adapted to respond to all manner of stimuli, from both within and outside the cell.
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                Author and article information

                Contributors
                (View ORCID Profile)
                (View ORCID Profile)
                Journal
                Nature Structural & Molecular Biology
                Nat Struct Mol Biol
                Springer Science and Business Media LLC
                1545-9993
                1545-9985
                October 2023
                October 16 2023
                October 2023
                : 30
                : 10
                : 1411-1427
                Article
                10.1038/s41594-023-01113-5
                37845413
                6efcd135-2337-4aa8-8334-03fdaf7fb416
                © 2023

                https://www.springernature.com/gp/researchers/text-and-data-mining

                https://www.springernature.com/gp/researchers/text-and-data-mining

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