Deep learning for reconstructing protein structures from cryo-EM density maps: Recent advances and future directions
Year: 2023
Type: review
Abstract: Cryo-Electron Microscopy (cryo-EM) has emerged as a key technology to determine the structure of proteins, particularly large protein complexes and assemblies in recent years. A key challenge in cryo-EM data analysis is to automatically reconstruct accurate protein structures from cryo-EM density maps. In this review, we briefly overview various deep learning methods for building protein structures from cryo-EM density maps, analyze their impact, and discuss the challenges of preparing high-quality data sets for training deep learning models. Looking into the future, more advanced deep learning models of effectively integrating cryo-EM data with other sources of complementary data such as protein sequences and AlphaFold-predicted structures need to be developed to further advance the field.
Authors: Nabin Giri, Raj S. Roy, Jianlin Cheng
Institution: University of Missouri
Language: English
Subfield: Structural Biology
Domain: Life Sciences
Open Access status: hybrid
Estimated APC paid: $4,530
Awards: UNIVERSITY OF MISSOURI - NEW AWARD
CONTROL NUMBER: 2107-1570
PROJECT TITLE: DEEP LEARNING PREDICTION OF PROTEIN COMPLEX STRUCTURES
PROJECT DESCRIPTION: THIS COOPERATIVE AGREEMENT IS HEREBY AWARDED TO THE CURATORS OF THE UNIVERSITY OF MISSOURI WHO PROPOSES TO DEVELOP NOVEL DEEP LEARNING METHODS TO PREDICT INTER-PROTEIN AMINO ACID INTERACTIONS (CONTACTS) AND BUILD THREE-DIMENSIONAL STRUCTURES OF PROTEIN COMPLEXES., HIGH THROUGHPUT, ACCURATE GENE ANNOTATION THROUGH AI AND HPC-ENABLED STRUCTURAL ANALYSIS, III: Medium: Collaborative Research: Guiding Exploration of Protein Structure Spaces with Deep Learning, ABI Innovation: Deep learning methods for protein bioinformatics, Distance-based ab initio protein structure prediction, DEEP GREEN: STRUCTURAL AND FUNCTIONAL GENOMIC CHARACTERIZATION OF CONSERVED UNANNOTATED GREEN LINEAGE PROTEINS, Deep learning methods for automated and accurate reconstruction of protein structures from cryo-EM image data
OpenAlex ID: W4319723617