Enhancing cryo-EM structure prediction with DeepTracer and AlphaFold2 integration.

ABSTRACT: Understanding the protein structures is invaluable in various biomedical applications, such as vaccine development. Protein structure model building from experimental electron density maps is a time-consuming and labor-intensive task. To address the challenge, machine learning approaches have been proposed to automate this process. Currently, the majority of the experimental maps in the database lack atomic resolution features, making it challenging for machine learning-based methods to precisely determine protein structures from cryogenic electron microscopy density maps. On the other hand, protein structure prediction methods, such as AlphaFold2, leverage evolutionary information from protein sequences and have recently achieved groundbreaking accuracy. However, these methods often requi

SUBMITTER: Chen J 

PROVIDER: S-EPMC11014792 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature