AIMC Topic: Macromolecular Substances
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A review of denoising methods in single-particle cryo-EM.
Micron (Oxford, England : 1993)
Mar 29, 2025
Cryo-EM has become a vital technique for resolving macromolecular structures at near-atomic resolution, enabling the visualization of proteins and large molecular complexes. However, the images are often accompanied by extremely low SNR, which poses ...
AI-based methods for biomolecular structure modeling for Cryo-EM.
Current opinion in structural biology
Jan 27, 2025
Cryo-electron microscopy (Cryo-EM) has revolutionized structural biology by enabling the determination of macromolecular structures that were challenging to study with conventional methods. Processing cryo-EM data involves several computational steps...
Overcoming the preferred-orientation problem in cryo-EM with self-supervised deep learning.
Nature methods
Nov 18, 2024
While advances in single-particle cryo-EM have enabled the structural determination of macromolecular complexes at atomic resolution, particle orientation bias (the 'preferred' orientation problem) remains a complication for most specimens. Existing ...
Integrating machine learning with -SAS for enhanced structural analysis in small-angle scattering: applications in biological and artificial macromolecular complexes.
The European physical journal. E, Soft matter
Jun 3, 2024
Small-Angle Scattering (SAS), encompassing both X-ray (SAXS) and Neutron (SANS) techniques, is a crucial tool for structural analysis at the nanoscale, particularly in the realm of biological macromolecules. This paper explores the intricacies of SAS...
Magnetic Resonance Spectroscopy Quantification Aided by Deep Estimations of Imperfection Factors and Macromolecular Signal.
IEEE transactions on bio-medical engineering
May 20, 2024
OBJECTIVE: Magnetic Resonance Spectroscopy (MRS) is an important technique for biomedical detection. However, it is challenging to accurately quantify metabolites with proton MRS due to serious overlaps of metabolite signals, imperfections because of...
Predictive modeling and cryo-EM: A synergistic approach to modeling macromolecular structure.
Biophysical journal
Jan 23, 2024
Over the last 15 years, structural biology has seen unprecedented development and improvement in two areas: electron cryo-microscopy (cryo-EM) and predictive modeling. Once relegated to low resolutions, single-particle cryo-EM is now capable of achie...
Bonds and bytes: The odyssey of structural biology.
Current opinion in structural biology
Dec 14, 2023
Characterizing structural and dynamic properties of proteins and large macromolecular assemblies is crucial to understand the molecular mechanisms underlying biological functions. In the field of structural biology, no single method comprehensively r...
Classification of helical polymers with deep-learning language models.
Journal of structural biology
Nov 7, 2023
Many macromolecules in biological systems exist in the form of helical polymers. However, the inherent polymorphism and heterogeneity of samples complicate the reconstruction of helical polymers from cryo-EM images. Currently, available 2D classifica...
CryoRes: Local Resolution Estimation of Cryo-EM Density Maps by Deep Learning.
Journal of molecular biology
Mar 24, 2023
Recent progress in cryo-EM research has ignited a revolution in biological macromolecule structure determination. Resolution is an essential parameter for quality assessment of a cryo-EM density map, and it is known that resolution varies in differen...
Smart de novo Macromolecular Structure Modeling from Cryo-EM Maps.
Journal of molecular biology
Jan 18, 2023
The study of macromolecular structures has expanded our understanding of the amazing cell machinery and such knowledge has changed how the pharmaceutical industry develops new vaccines in recent years. Traditionally, X-ray crystallography has been th...
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