Getting better protein models from given diffraction data set: moving beyond conventional practices
The quality of macromolecular crystal structures depends to a large extent on the quality and quantity of the data used to produce them. I will describe my collaborative work with Kay Diederichs that shows that conventionally used data quality indicators are misleading and the conventional practices for choosing a high resolution cutoff leads crystallographers to throw away useful data and, as a consequence, end up with lower quality refined models than they could otherwise obtain. I will also discuss the potential to greatly increase data quality through the merging of multiple measurements from multiple passes of single crystals or from multiple crystals. A key factor supporting these shifts in practices is the introduction of a more robust correlation coefficient based indicator of the precision of merged data sets.
Date: 15 October 2015, 11:00 (Thursday, 1st week, Michaelmas 2015)
Venue: Wellcome Trust Centre for Human Genetics, Headington OX3 7BN
Venue Details: Meeting Room A
Speakers: Speaker to be announced
Organising department: Division of Structural Biology
Organiser: Agata Krupa (Wellcome Trust Centre for Human Genetics)
Organiser contact email address:
Hosts: Prof E.Yvonne Jones (University of Oxford), Prof David Stuart (University of Oxford)
Part of: General Talks
Booking required?: Not required
Audience: Members of the University only
Editors: Anne Bowtell, Agata Krupa