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RIDL : a tool to investigate radiation‐induced density loss
Author(s) -
Bury Charles Simon,
Garman Elspeth Frances
Publication year - 2018
Publication title -
journal of applied crystallography
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.429
H-Index - 162
ISSN - 1600-5767
DOI - 10.1107/s1600576718005241
Subject(s) - radiation , radiation damage , biological system , chemistry , noise (video) , nucleic acid , range (aeronautics) , irradiation , biophysics , computational physics , optics , physics , materials science , computer science , biology , biochemistry , nuclear physics , composite material , artificial intelligence , image (mathematics)
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 per‐atom descriptors of radiation damage, based on changes detectable in F obs, n − F obs,1 Fourier 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.