Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Long-patch Base Excision Repair

Long-patch Base Excision Repair

Since the discovery of the two BER pathways, there has been a debate about how a cell chooses one pathway over the other and the factors determining this selection. Numerous in vitro experiments have pointed out multiple determinants for the sub-pathway selection. These are:

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Report of high data rate macromolecular crystallography (HDRMX) meeting, 23 July 2025.

Structural dynamics (Melville, N.Y.)·2026

Same author

Vancomycin-resistant Enterococcus faecium: a national wide genomic snapshot in Switzerland.

European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology·2026

Same author

Radiation damage in sub-Ångström resolution macromolecular crystallography: a low-dose study.

Acta crystallographica. Section D, Structural biology·2026

Same author

Automated workflows for strategy computation and data collection at synchrotron beamlines.

Acta crystallographica. Section D, Structural biology·2026

Same author

Cell-derived Nanoparticles Provide a Robust Platform to Manufacture Therapeutic T cells.

Research square·2026

Same author

New targets and procedures for validating the valence geometry of nucleic acid structures.

Nucleic acids research·2026

Search research articles

Related Experiment Video

Updated: Jul 2, 2025

Fully Autonomous Characterization and Data Collection from Crystals of Biological Macromolecules

Fully Autonomous Characterization and Data Collection from Crystals of Biological Macromolecules

Published on: March 22, 2019

Advanced exploitation of unmerged reflection data during processing and refinement with autoPROC and BUSTER.

Clemens Vonrhein¹, Claus Flensburg¹, Peter Keller¹

¹Global Phasing Ltd, Sheraton House, Castle Park, Cambridge, United Kingdom.

Acta Crystallographica. Section D, Structural Biology

|February 27, 2024

Summary

Unmerged crystallographic data reveal model improvements. New tools analyze unmerged reflections for better structural model validation and error detection in macromolecular X-ray crystallography.

Keywords:

fitness analysis radiation damage reflection auditing unmerged reflection data validation against diffraction data

More Related Videos

Author Spotlight: Introduction to Active Probe Atomic Force Microscopy with Quattro-Parallel Cantilever Arrays

Author Spotlight: Introduction to Active Probe Atomic Force Microscopy with Quattro-Parallel Cantilever Arrays

Published on: June 13, 2023

High-Throughput Metabolic Profiling for Model Refinements of Microalgae

High-Throughput Metabolic Profiling for Model Refinements of Microalgae

Published on: December 4, 2021

Related Experiment Videos

Last Updated: Jul 2, 2025

Fully Autonomous Characterization and Data Collection from Crystals of Biological Macromolecules

Fully Autonomous Characterization and Data Collection from Crystals of Biological Macromolecules

Published on: March 22, 2019

Author Spotlight: Introduction to Active Probe Atomic Force Microscopy with Quattro-Parallel Cantilever Arrays

Author Spotlight: Introduction to Active Probe Atomic Force Microscopy with Quattro-Parallel Cantilever Arrays

Published on: June 13, 2023

High-Throughput Metabolic Profiling for Model Refinements of Microalgae

High-Throughput Metabolic Profiling for Model Refinements of Microalgae

Published on: December 4, 2021

Area of Science:

Macromolecular crystallography
Structural biology
Biophysics

Background:

Structural model validation in macromolecular X-ray crystallography typically relies on merged diffraction data.
Unmerged reflection data, containing richer metadata, are often underutilized.
Current validation methods may miss subtle issues affecting model accuracy.

Purpose of the Study:

To demonstrate the value of unmerged reflection data for enhancing structural model validation.
To introduce tools for performing advanced analyses on unmerged crystallographic data.
To improve the accuracy and reliability of macromolecular structural models.

Main Methods:

Utilizing unmerged reflection data for advanced crystallographic analyses.
Developing and applying tools for automatic identification of problematic diffraction ranges.
Implementing a 'reflection-auditing' process to investigate data-model discrepancies.
Calculating F(early) - F(late) maps using selected unmerged data subsets.

Main Results:

Identification and removal of diffraction data affected by crystal centering loss or decay.
Detection of previously undiagnosed instrumental, experimental, or processing issues via reflection auditing.
Characterization of radiation damage extent and location using F(early) - F(late) maps.
Guidance for improved modeling of localized radiation damage effects.

Conclusions:

Unmerged reflection data offer significant advantages over merged data for structural model validation.
The presented tools enable deeper insights into data quality and model accuracy.
Leveraging unmerged data leads to more robust and reliable macromolecular structural models.