CryoVirusDB: A Labeled Cryo-EM Image Dataset for AI-Driven Virus Particle Picking.

ABSTRACT: With the advancements in instrumentation, image processing algorithms, and computational capabilities, single-particle electron cryo-microscopy (cryo-EM) has achieved nearly atomic resolution in determining the 3D structures of viruses. The virus structures play a crucial role in studying their biological function and advancing the development of antiviral vaccines and treatments. Despite the effectiveness of artificial intelligence (AI) in general image processing, its development for identifying and extracting virus particles from cryo-EM micrographs (images) has been hindered by the lack of manually labelled high-quality datasets. To fill the gap, we introduce CryoVirusDB, a labeled dataset containing the coordinates of expert-picked virus particles in cryo-EM micrographs. CryoVirusDB c

SUBMITTER: Gyawali R 

PROVIDER: S-EPMC10793402 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature