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Integrative structural biology combines data from multiple experimental techniques to generate complete structural models for the biological system of interest. Most commonly cross-linking data sets are employed alongside electron microscopy maps, crystallographic structures, and other data by computational methods that integrate all known information and produce structural models at a level of resolution that is appropriate to the input data. The precision of these modelled solutions isdoi:10.1016/j.ymeth.2019.03.009 pmid:30890443 pmcid:PMC6617507 fatcat:pgdbipcqmbfzdmqhg22fzs6hsy