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DOE OSTI · 2318525

CryoTransformer: a transformer model for picking protein particles from Cryo-EM micrographs

Dhakal, Ashwin·Gyawali, Rajan·Wang, Liguo·Cheng, Jianlin
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Abstract

Cryo-electron microscopy (cryo-EM) is a powerful technique for determining the structures of large protein complexes. Picking single protein particles from cryo-EM micrographs (images) is a crucial step in reconstructing protein structures from them. However, the widely used template-based particle picking process requires some manual particle picking and is labor-intensive and time-consuming. Though machine learning and artificial intelligence (AI) can potentially automate particle picking, the current AI methods pick particles with low precision or low recall. The erroneously picked particles can severely reduce the quality of reconstructed protein structures, especially for the micrographs with low signal-to-noise-ratio (SNR).

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Dhakal, Ashwin, Gyawali, Rajan, Wang, Liguo, Cheng, Jianlin. 2024-02-24. CryoTransformer: a transformer model for picking protein particles from Cryo-EM micrographs. https://doi.org/10.1093/bioinformatics%2Fbtae109

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