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Mycket exakt förutsägelse av proteinstruktur med AlphaFold

fre
18
mar
Tid Fredag 18 mars, 2022 kl. 12:00 - 13:00
Plats ZOOM

Predicting a protein’s structure from its primary sequence has been a long standing grand challenge in biology. In this talk, we will describe work at DeepMind to develop AlphaFold, a deep learning-based system for protein structure prediction that achieves high accuracy across a wide range of targets.  We demonstrated our system in the 14th biennial Critical Assessment of Protein Structure Prediction (CASP14) across a wide range of difficult targets, where the assessors judged our predictions to be at an accuracy “competitive with experiment” for approximately 2/3rds of proteins. The talk will cover both the underlying machine learning ideas and the implications for biological research as well as some promising further work.

Join on ZOOM: https://umu.zoom.us/j/66616468539 

 

Evenemangstyp: Seminarium

Jonas Adler, KTH och Google DeepMind

Kontaktperson
Anna Lundberg
Läs om Anna Lundberg