Artificial intelligence in cryo-EM protein particle picking: recent advances and remaining challenges
Cryo-electron microscopy (cryo-EM) has revolutionized structural biology by enabling the
determination of high-resolution 3-Dimensional (3D) structures of large biological …
determination of high-resolution 3-Dimensional (3D) structures of large biological …
Cryo-EM: A window into the dynamic world of RNA molecules
X Zhang, S Li, K Zhang - Current Opinion in Structural Biology, 2024 - Elsevier
RNAs are critical for complex cellular functions, characterized by their structural versatility
and ability to undergo conformational transitions in response to cellular cues. The elusive …
and ability to undergo conformational transitions in response to cellular cues. The elusive …
CryoTransformer: a transformer model for picking protein particles from Cryo-EM micrographs
Motivation Cryo-electron microscopy (cryo-EM) is a powerful technique for determining the
structures of large protein complexes. Picking single protein particles from cryo-EM …
structures of large protein complexes. Picking single protein particles from cryo-EM …
Accurate cryo-EM protein particle picking by integrating the foundational AI image segmentation model and specialized U-Net
Picking protein particles in cryo-electron microscopy (cryo-EM) micrographs is a crucial step
in the cryo-EM-based structure determination. However, existing methods trained on a …
in the cryo-EM-based structure determination. However, existing methods trained on a …
Predicting protein-ligand binding structure using E (n) Equivariant graph neural networks
Drug design is a costly and time-consuming process, often taking more than 12 years and
costing up to billions of dollars. The COVID-19 pandemic has signified the urgent need for …
costing up to billions of dollars. The COVID-19 pandemic has signified the urgent need for …
CryoSegNet: accurate cryo-EM protein particle picking by integrating the foundational AI image segmentation model and attention-gated U-Net
Picking protein particles in cryo-electron microscopy (cryo-EM) micrographs is a crucial step
in the cryo-EM-based structure determination. However, existing methods trained on a …
in the cryo-EM-based structure determination. However, existing methods trained on a …
DeepLIR: Attention-Based Approach for Mask-Based Lensless Image Reconstruction
Lensless imaging has emerged as a promising solution to overcome the need for expensive
and bulky lenses used in traditional cameras. This technique leverages a mask to optically …
and bulky lenses used in traditional cameras. This technique leverages a mask to optically …
Deep Learning Framework for Inverse Problems in Computational Imaging: A Lensless Imaging and Super-resolution Magnetic Resonance Imaging Case
A Poudel - 2024 - search.proquest.com
Inverse problems in computer vision involve reconstructing an original scene or image from
incomplete, noisy, or indirect measurements. These problems are critical in tasks such as …
incomplete, noisy, or indirect measurements. These problems are critical in tasks such as …
A novel particle picking approach for cryo-electron microscopy images
P Zhang, F Zhou - International Conference on Cloud …, 2024 - spiedigitallibrary.org
Cryo-electron microscopy (cryo-EM) has become a crucial tool for determining the structures
of proteins and macromolecular complexes. However, the extremely low signal-to-noise …
of proteins and macromolecular complexes. However, the extremely low signal-to-noise …