MS details

The schedule is available at https://www.conftool.com/iucr2020/

Machine learning in biological and structural sciences 

Comments

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.

Chair persons

Name

Family

Institution

City

Country

Region

Harry

Powell

Harry Powell Crystallographic

London

UK

ECA

Rita

Giordano

Royal Society of Chemistry

Cambridge

UK

ECA

 

Invited speakers

Name

Family

Institution

City

Country

Title

Day

Graeme

University of Southampton

Southampton

UK

 Learning structure-energy relationships for the prediction of molecular crystal structures

Melanie

Vollmar

Diamonf Light Source

Didcot

UK

 Predicting experimental phasing success for data triaging

Sergei

Grudinin

Inria

Grenoble

France

 Deep learning entering the post-protein structure prediction era : new horizons for structural biology