BIMSA > Seminar on Bioinformatics Single-sequence protein structure prediction using supervised transformer protein language models
Single-sequence protein structure prediction using supervised transformer protein language models
Organizer
Shing Toung Yau
Speaker
Xiang Shi
Time
Monday, September 9, 2024 3:00 PM - 3:30 PM
Venue
理科楼A-304 ；腾讯会议号409-8700-4974
Abstract
The authors introduce trRosettaX-Single, an automated algorithm for single-sequence protein structure prediction. It incorporates the sequence embedding from a supervised transformer protein language model into a multi-scale network enhanced by knowledge distillation to predict inter-residue two-dimensional geometry, which is then used to reconstruct three-dimensional structures via energy minimization.