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).
|
Session Overview |
Session | ||
MS-73: Machine learning in biological and structural sciences
Invited: Melanie Vollmar (UK), Sergei Grudinin (France) | ||
Session Abstract | ||
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. | ||
Introduction | ||
Presentations | ||
10:20am - 10:25am
Introduction to session |