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MS-73: Machine learning in biological and structural sciences
Time:
Friday, 20/Aug/2021:
10:20am - 12:45pm
Session Chair: Rita Giordano Session Chair: Harold Roger Powell
Location:Terrace 2B
100 2nd floor
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.