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© 2018 International Union of Crystallography. An automated tool, RIDL (Radiation-Induced Density Loss), has been developed that enables user-independent detection and quantification of radiation-induced site-specific changes to macromolecular structures as a function of absorbed dose. RIDL has been designed to extract suitable peratom descriptors of radiation damage, based on changes detectable in Fobs, n– Fobs, 1Fourier difference maps between successive dose data sets. Subjective bias, which frequently plagues the interpretation of true damage signal versus noise, is thus eliminated. Metrics derived from RIDL have already proved beneficial for damage analysis on a range of protein and nucleic acid systems in the radiation damage literature. However, the tool is also sufficiently generalized for improving the rigour with which biologically relevant enzymatic changes can be probed and tracked during time-resolved crystallographic experiments.

Original publication

DOI

10.1107/S1600576718005241

Type

Journal article

Journal

Journal of Applied Crystallography

Publication Date

03/04/2018

Volume

51

Pages

952 - 962