3 papers
physics.bio-ph2025
Completion of partial structures using Patterson maps with the CrysFormer machine learning model
Tom Pan, Evan Dramko, Mitchell D. Miller +2
Protein structure determination has long been one of the primary challenges of structural biology, to which deep machine learning (ML)-based approaches have increasingly been appli…
q-bio.QM2025
RecCrysFormer: Refined Protein Structural Prediction from 3D Patterson Maps via Recycling Training Runs
Tom Pan, Evan Dramko, Mitchell D. Miller +2
Determining protein structures at an atomic level remains a significant challenge in structural biology. We introduce , a hybrid model that exploits the str…
cs.LG2023
CrysFormer: Protein Structure Prediction via 3d Patterson Maps and Partial Structure Attention
Chen Dun, Qiutai Pan, Shikai Jin +4
Determining the structure of a protein has been a decades-long open question. A protein's three-dimensional structure often poses nontrivial computation costs, when classical simul…