Helical Reconstruction
Helical Reconstruction - Related Videos
12:38
Structure of HIV-1 Capsid Assemblies by Cryo-electron Microscopy and Iterative Helical Real-space Reconstruction
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Cited by 8 •
2011
This article describes a method to obtain a three-dimensional (3D) structure of helically assembled molecules using cryo-electron microscopy. In this protocol, we use HIV-1 capsid assemblies to illustrate the detailed 3D reconstruction procedure for achieving a density map by the iterative helical real-space reconstruction method.
12:24
Helical Organization of Blood Coagulation Factor VIII on Lipid Nanotubes
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Cited by 9 •
2014
We present a combination of Cryo-electron microscopy, lipid nanotechnology, and structure analysis applied to resolve the membrane-bound structure of two highly homologous FVIII forms: human and porcine. The methodology developed in our laboratory to helically organize the two functional recombinant FVIII forms on negatively charged lipid nanotubes (LNT) is described.
09:22
Self-assembling Morphologies Obtained from Helical Polycarbodiimide Copolymers and Their Triazole Derivatives
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2017
Here, we present a protocol to prepare and visualize secondary structures (e.g., fibers, toroidal architectures, and nano-spheres) derived from helical polycarbodiimides. The morphology characterized by both atomic force microscopy (AFM) and scanning electron microscopy (SEM) was shown to depend on molecular structure, concentration, and the solvent of choice.
08:01
Designing CAD/CAM Surgical Guides for Maxillary Reconstruction Using an In-house Approach
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Cited by 7 •
2018
Methods for designing a computer-aided design/computer-aided manufacturing (CAD/CAM) surgical guide are shown. Cutting planes are separated, united, and thickened to easily visualize the necessary bone transfer. These designs can be three-dimensional printed and checked for accuracy.
07:58
Improving the Combustion Performance of a Hybrid Rocket Engine using a Novel Fuel Grain with a Nested Helical Structure
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Cited by 4 •
2021
A technique utilizing a solid fuel grain with a novel nested helical structure to improve the combustion performance of a hybrid rocket engine is presented.
FAQs
Helical symmetry provides the geometric constraint needed to combine signals from repeated structural units. During reconstruction, image segments are aligned relative to a common helical axis, and that repeating arrangement guides computational merging into a three-dimensional density map. The resulting map represents the shared architecture of the assembly rather than treating each segment as unrelated.
Analyzing many particle segments allows the computational workflow to align corresponding portions of the assembly and merge their signals. Because the segments contain repeated subunit information, their combined contribution supports a three-dimensional representation of the structure. This approach is particularly useful for tube-like or filamentous specimens whose architecture extends along a common axis.
A three-dimensional density map can show how repeating molecular components are organized within a filament, tube, or related assembly. That structural information can be connected to questions about how the assembly forms, what may contribute to its stability, how host systems recognize it, and which architectural features could represent intervention targets.
The workflow begins with cryo-electron microscopy images containing segments of the assembly. Computational processing then aligns those segments according to a shared helical axis, applies the relevant helical symmetry, and merges the aligned signals. The output is a three-dimensional density map that summarizes the common molecular architecture represented across the analyzed segments.
The method is suited to filamentous or tube-like assemblies composed of repeating subunits. In infection research, relevant examples include viral nucleoproteins, capsids, bacterial filaments, and other pathogen-associated structures. Its value is greatest when the specimen’s repeated organization can be related to molecular architecture, assembly behavior, stability, or recognition by host systems.
In this field, reconstructed structures help connect pathogen architecture with biological behavior. Maps of viral or bacterial assemblies can support analysis of how subunits are arranged, how structures assemble or remain stable, and how host systems may recognize them. These insights can also identify structural features for considering antiviral or antimicrobial intervention strategies.