Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
Please note that all times are shown in the time zone of the conference. The current conference time is: 26th Nov 2022, 02:17:18pm CET
MS-73: Machine learning in biological and structural sciences
10:20am - 12:45pm
Session Chair: Rita Giordano Session Chair: Harold Roger Powell
100 2nd floor
Invited: Melanie Vollmar (UK), Sergei Grudinin (France)
Recently Machine Learning (ML), has become very popular in the fields of structural biology and chemical crystallography, throughout the pipeline from data collection and data processing through to structure solution and refinement. This technique can improve crystal structure prediction and classification, while ML and its tools (for example deep learning) have also been applied, inter alia, to drug discovery, powder diffraction and materials science. Experts in the field will discuss the background and recent advances in ML as applied to structural science.
For all abstracts of the session as prepared for Acta Crystallographica see PDF in Introduction, or individual abstracts below.
10:20am - 10:25am
Introduction to session
Rita Giordano, Harold Roger Powell
10:25am - 10:55am
Predicting experimental phasing success for data triaging