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• W2079300981 abstract "Molecular dynamics (MD) simulation has become one of the key tools to obtain deeper insights into biological systems using various levels of descriptions such as all‐atom, united‐atom, and coarse‐grained models. Recent advances in computing resources and MD programs have significantly accelerated the simulation time and thus increased the amount of trajectory data. Although many laboratories routinely perform MD simulations, analyzing MD trajectories is still time consuming and often a difficult task. ST‐analyzer, http://im.bioinformatics.ku.edu/st‐analyzer , is a standalone graphical user interface (GUI) toolset to perform various trajectory analyses. ST‐analyzer has several outstanding features compared to other existing analysis tools: (i) handling various formats of trajectory files from MD programs, such as CHARMM, NAMD, GROMACS, and Amber, (ii) intuitive web‐based GUI environment—minimizing administrative load and reducing burdens on the user from adapting new software environments, (iii) platform independent design—working with any existing operating system, (iv) easy integration into job queuing systems—providing options of batch processing either on the cluster or in an interactive mode, and (v) providing independence between foreground GUI and background modules—making it easier to add personal modules or to recycle/integrate pre‐existing scripts utilizing other analysis tools. The current ST‐analyzer contains nine main analysis modules that together contain 18 options, including density profile, lipid deuterium order parameters, surface area per lipid, and membrane hydrophobic thickness. This article introduces ST‐analyzer with its design, implementation, and features, and also illustrates practical analysis of lipid bilayer simulations. © 2014 Wiley Periodicals, Inc." @default.
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• W2079300981 date "2014-03-17" @default.
• W2079300981 modified "2023-10-17" @default.
• W2079300981 title "ST-analyzer: A web-based user interface for simulation trajectory analysis" @default.
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• W2079300981 doi "https://doi.org/10.1002/jcc.23584" @default.
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