Author:
Bury Charles Simon,Garman Elspeth Frances
Abstract
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.
Publisher
International Union of Crystallography (IUCr)
Subject
General Biochemistry, Genetics and Molecular Biology
Cited by
15 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献