DEMO-EM2: assembling protein complex structures from cryo-EM maps through intertwined chain and domain fitting

Author:

Zhang Ziying1,Cai Yaxian1,Zhang Biao1,Zheng Wei2ORCID,Freddolino Lydia2ORCID,Zhang Guijun1ORCID,Zhou Xiaogen1ORCID

Affiliation:

1. College of Information Engineering, Zhejiang University of Technology , Hangzhou 310023 , China

2. Department of Computational Medicine and Bioinformatics, University of Michigan , Ann Arbor, MI 48109 , USA

Abstract

Abstract The breakthrough in cryo-electron microscopy (cryo-EM) technology has led to an increasing number of density maps of biological macromolecules. However, constructing accurate protein complex atomic structures from cryo-EM maps remains a challenge. In this study, we extend our previously developed DEMO-EM to present DEMO-EM2, an automated method for constructing protein complex models from cryo-EM maps through an iterative assembly procedure intertwining chain- and domain-level matching and fitting for predicted chain models. The method was carefully evaluated on 27 cryo-electron tomography (cryo-ET) maps and 16 single-particle EM maps, where DEMO-EM2 models achieved an average TM-score of 0.92, outperforming those of state-of-the-art methods. The results demonstrate an efficient method that enables the rapid and reliable solution of challenging cryo-EM structure modeling problems.

Funder

National Science and Technology Major Project of China

National Nature Science Foundation of China

National Science Foundation

Publisher

Oxford University Press (OUP)

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